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Enhanced Rubrics for the Win

A student sits at a table near tall windows, writing in a notebook with a tablet propped open beside them.

How this will help

Updates to Canvas rubrics features improves management
Instructors can more easily reorder criteria, duplicate rubrics

Sharing feedback with students on their assignments and assessments has gotten easier thanks to the new Enhanced Rubrics features now available on Canvas.  

Kalpana Joshi and Jennifer Love, business systems analysts with the University of Michigan Information and Technology Services Teaching & Learning Group, introduced these features during their presentation at the 27th annual Enriching Scholarship Conference. Key updates of the Enhanced Rubric included:

  • Drag-and-Drop
  • Copying and Duplicating Elements
  • Flexible Ordering

These updates, based on feedback from instructors and course designers, can make your rubric management easier and ultimately help provide students clear and constructive feedback. 

In Canvas, you can set up rubrics attached to assessments that allow quick, clickable options to speed up grading while providing important feedback.

Editing Rubrics

After designing and developing a course, instructors often need to update or create new rubrics as they add assignments or need to clarify expectations. Enhanced Rubrics provide more options for iterating your rubrics without needing to start over every time an alteration is needed.

Copying and Duplicating Elements

One important consideration within Canvas is that rubrics that are used in more than one assignment can’t be fully edited once students have engaged with them. However, if you need to tweak an existing rubric to fit a new course or assignment, you can duplicate the rubric so that you are not starting from scratch. 

In the actions column on the rubrics home page, click on the three dots and select “Duplicate.” You can then edit the elements in the new rubric before adding it to a new assignment in the course. If you want to edit individual criterion details, you can click on the adjacent pencil icon. Elements of that criterion that can be edited include the name, description, point value, rating name, and rating description. 

When you want to replicate a rubric for a different course, which helps to maintain assessment consistency across different courses, you can select the “Copy To” option. From there, a pop-up box will appear asking you to select the intended course for the rubric. You can also choose to copy the rubric to a specific assignment.  

Rearranging Elements

Want to rearrange your criteria and not have to create the rubric from scratch? The Enhanced Rubric now allows you to change the order of your criteria with a simple drag-and-drop. 

Select the columns of dots to the left of the individual criterium with your mouse, then drag it into the desired order. 

If you’d like to alter the rating order, you can now change that using a drop-down menu at the top right of the rubric’s home page. 

More New Features

Instructors can now import and export rubrics using the new feature on the rubrics landing page. Existing rubrics can be downloaded in CSV format. In the Gradebook, you can upload a CSV file to create one or more rubrics.

The Enhanced Rubric features are also fully integrated with the assignments section of your courses, so you can add or create rubrics more easily. You can also archive rubrics if you want to store old rubric content that’s not actively connected to an assignment. To archive a rubric, click the Options icon in the three-dot menu next to the rubric, then click Archive. To add an archived rubric to an assignment, you must first un-archive it, which you can do in the Archived section of the rubrics home page.

Finally, there are additional views available in Enhanced Rubric – traditional, horizontal, and vertical.

Practical Tips

  • The former “Add Rubric” button is replaced by a “Create New Rubric” button at the top right of your rubric page in Canvas. 
  • If it is not a graded assignment, it will not allow you to add a rubric. 
  • If a rubric is used for multiple courses, once students have engaged with the assignment, editing will be limited.
  • Don’t forget to save your work! 
  • When creating a rubric, make sure to click the “Use this rubric for assignment grading” so that student scores are calculated automatically.

Resources

ITS Teaching & Learning Group 

Creating and Using Rubrics in Canvas 

How this will help

Students can use generative AI to build their learning process
Providing structured guidance is key to responsible AI use

A current challenge facing university instructors is the use of generative AI tools by students to achieve the goals and objectives of a course. Students commonly interpret course goals and objectives as things they need to produce – the outputs of learning. But what is missing in this view is how they need to think, learn, and build their knowledge – the process of learning. 

Students are commonly asked to produce written output as evidence of their knowledge and thinking, such as essays and assignments. Given that, it’s not surprising they would turn to generative AI tools, such as ChatGPT, that are programmed to generate and produce contextually appropriate written output. And because of the relative ease with which quality-looking output can be generated with these tools, it’s also not surprising that instructors are placing even greater attention on verifying that assignments are created by students and not produced by a generative AI tool.

With so much concern surrounding students’ use of generative AI tools in classroom learning settings, specifically with the outputs of learning, could AI promote other important learning processes that are not focused on outputs? Could the focus be shifted to strengthening students’ thinking processes instead?

Expert Thinking

At the center of an effective learning experience are problems to be solved. The goal is for students to come away from the learning experience having acquired a certain amount of content knowledge so they can engage with and solve problems that are presented. However, teachers and educational researchers know that content knowledge alone isn’t sufficient to solve problems. 

When presented with a problem, experts not only use content knowledge, they also actively weigh the possible strategies and options they may want to use to tackle the problem – using metacognition in the problem-solving process. Metacognition is thinking about your own thought processes. Metacognitive strategies are ways to encourage and actively engage in the “whys” around thought processes.

For example, the problem-solving process may involve asking or reminding themselves:

  • Have I considered all the other options?
  • Am I jumping to conclusions too quickly?
  • Have I seen this before?
  • Remember what happened the last time. 

And while the use and benefits of metacognitive knowledge may have been developed over the course of a professional career, educational researchers know that metacognitive strategies can not only be of great benefit for novices learning in the classroom, but that it can be explicitly taught alongside content. 

Using AI to Support Metacognition for Learning

Let’s say you’ve assigned an analysis of a local art installation. Some students might find themselves struggling to get started even after attending lectures, passing quizzes, and attending small group discussions. By introducing metacognitive strategies, you could help get their thinking started. 

Providing them questions to ask themselves and explicitly walking them through this thinking process is an example. By demonstrating this question strategy with students, they not only begin the process of generating output for their analysis, but they also strengthen their metacognitive processes for similar analysis in the future. 

Your students are now feeling confident that they can tackle this analysis and will be able to implement these metacognitive strategies at 11 pm when they do their work, right? Of course, we know learning doesn’t work this way. 

This is where generative AI tools can come in to support students’ use of metacognitive strategies and their writing process – at the time when they need it. This shifts the use of generative AI tools from “prompting for output” to “prompting for learning.”

For example, if the student is stuck and doesn’t know how to get started, they could be provided a set of prompts that ask the generative AI tool to provide questions designed to elicit written responses from the student. 

Prompt: Act as a writing coach to help me write a critical analysis of a local art installation. Your goal is to model metacognitive strategies to help me unpack, organize, and compose my analysis.

The requirements for the analysis are as follows: 

  • The rubric that will be used to determine the quality of the analysis is as follows: [provide rubric information].
  • As a writing coach, you will ask me questions that will help me gather and compose my observations and insights about the art installation I visited.
  • You will then evaluate my response against the requirements and rubric, and ask me to consider what other information I could provide to clarify my analysis. Continue to ask me questions until I have written at least 200 words.
  • Do not provide any examples for how to improve my analysis. Your job is to help guide my approach toward composing my analysis.
  • Do not ask all the questions at once. Instead, ask one question at a time, expect a response, evaluate the response, then ask another question.

In creating a writing coach with a generative AI tool, students are not only prompted to  start writing, but the prompts themselves model a process of what a metacognitive strategy looks like for students, and what they can begin to use for future writing assignments.

If we want to help students fully realize the goals and objectives of our courses – to be able to apply what they’ve learned and create solutions in the real world – it’s important that we provide them with instruction and tools that emphasize strengthening their thinking skills and building their knowledge.

Resources

U-M Generative AI Tools

U-M Generative AI Use Cases

References

Dennis, J.L., Somerville, M.P. Supporting thinking about thinking: examining the metacognition theory-practice gap in higher education. High Educ 86, 99–117 (2023).

Krathwohl, D. R. (2002). A Revision of Bloom’s Taxonomy: An Overview. Theory Into Practice, 41(4), 212–218.

National Research Council. 2000. How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington, DC: The National Academies Press. 

McCormick, C. B., Dimmitt, C., & Sullivan, F. R. (2012). Metacognition, Learning, and Instruction. Handbook of Psychology, Second Edition, 7

Merrill, M. D. (2013). First Principles of Instruction: Identifying and Designing Effective, Efficient, and Engaging Instruction. San Francisco, CA: Pfeiffer.

Pintrich, P. R. (2002). The Role of Metacognitive Knowledge in Learning, Teaching, and Assessing. Theory Into Practice, 41(4), 219–225.

Tankelevitch, L., Kewenig, V., Simkute, A., Scott, A., Sarkar, A., Sellen, A., & Rintel, S. (2024). The Metacognitive Demands and Opportunities of Generative AI. CHI ‘24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Answers to common questions about forming student groups

How this will help

Well-constructed team-based assignments help students build skills and knowledge
Surveying students at the beginning of a course can inform better group formations
Establishing team roles gives learners structure and clear expectations

Project-based team learning is a great way to engage students and help them build real-world collaboration skills. But organizing your students into groups that blend easily and productively can be a daunting task at the beginning of the semester. 

Below are common questions about forming student teams, along with answers to help you create team projects that support your students and their learning goals.

How can I get to know my students at the beginning of the course?

A student survey at the beginning of the course may help you learn about your students and form teams more effectively. Consider including any of the following questions in your survey:

  • Where will you be living this semester? 
  • What days of the week are you most available to meet?
  • What time of day are you most productive? 
  • What concerns do you have about teamwork in this class?
  • What are your priorities or goals for yourself in this class?
  • How much experience do you have with [skill relevant to the class or project]?

You can also survey students about personality characteristics and working styles. Here is a sample survey for rating personality characteristics:

 An image of a sample survey for students asking the question, "Where would you place yourself on the following scales?" The scales go from 1 to 7. The following scenarios rank as a 1 on the scale: In groups, I tend to listen more than speak; I usually do work close to a deadline; I expect to fit right into this course; I like to share work, even if my team finishes tasks differently than me; I'd rather hold back ideas or preferences if my group stays happy. The following scenarios rank as a 7 on the scale: I often speak up in groups; I get working on a project when it's assigned; I expect to feel pretty out of place in this course; I'd rather pick up extra work so I know it's done right; It's easy for me to speak up about my ideas or preferences even if it disrupts my group.

In some cases, students with similar characteristics do well in the same groups; other characteristics are better served by being spread out among the teams. These insights help you build cohesive and equitable teams. 

Consider the following guidance for grouping students based on the survey sample:

CharacteristicsGrouping Type
Extroverted vs. IntrovertedGroup diverse
Precrastinator vs. ProcrastinatorGroup similar to maximize team happiness
Group diverse to maximize team productivity
BelongingnessAvoid stranding low-belonging students on a team of high-belonging students
Controlling vs. CollaborativeSpread out controlling students
Self-censoring vs. ContributingAvoid stranding self-censoring students on a team of high contributors

How should teams be formed, and which factors should instructors consider?

Forming effective teams is the first step in setting students up for success on their team projects. Here are some strategies for team formation:

  • Aim for diversity in skills, experiences, and perspectives.
  • Aim for similarity in schedules and campus location (or time zone if students are remote) to reduce logistics issues.
  • Grouping students with similar time management approaches and procrastination styles may reduce conflict within the team, though it may also reduce project quality. 
  • Consider outcome goals, academic strengths, and previous experience with the topic and skills when forming teams.

If you have students who indicated they don’t enjoy teamwork or have conflicts with others, consider assigning them to a team with students who:

  • Have strong collaborative skills and patience.
  • Share similar goals for the class.
  • Are empathetic and adaptable.

In some cases, it may be better to let a student work alone on a project, especially if they have previously had difficult team experiences due to factors outside their control (e.g. cultural differences, neurodiversity, etc.).

How can instructors make structured teams (with roles) work well?

Planning and communication are key when designing and assigning roles for group work. Important considerations include:

  • Clearly define roles and explain how each role benefits the team’s success. Team roles can include a facilitator to lead team meetings, a timekeeper to track deadlines, and a reporter to record team decisions.
  • Ensure equitable distribution of the fun or exciting tasks, or tasks that help students build critical skills.
  • Rotate roles if possible. For example, note-taking should be a duty each team member takes on, rather than the same person always doing it. 
  • Talk about different leadership roles and how to share them in a team. Students can be idea leaders, task leaders, social leaders, or organization leaders (or a combination of leadership types).
Leadership typeStrength areaCommon contributions
Social leadersHelp to create the necessary social bond and cohesion among teammates– Facilitate conflict resolution
– Amplify teammates’ voices and ideas to increase equity of participation and contribution
– Foster an environment of shared respect for teammates and excitement over the teams’ work
Organizational leadersOffer needed structure to the team and project– Spearhead conversations about team policies and norms
– Develop and implement approaches to project scheduling
– Provide big-picture project oversight to make sure all aspects of the work are moving forward as needed
Idea leadersHelp get the team’s work off on the right foot and provide a boost when needed later in the project– Model strategies for idea generation
– Suggest alternatives when a solution isn’t working
– Collect, evaluate, and prioritize feedback
Task leadersMake sure that the team’s work progresses by using their skills and strengths to complete project tasks– Demonstrate and teach skills to teammates who are motivated to learn
– Outline tasks, objectives, and strategies to complete tasks with teammates
– Set deadlines and guide teammates when there are gaps in knowledge

How can instructors form equitable teams?

Instructors should create teams thoughtfully to reduce learner barriers and encourage a sense of belonging, particularly for students who may hold a marginalized identity. Important considerations include:

  • When possible, avoid stranding students who may be underrepresented in their area of study on a team of all majority students. You can accomplish this by asking an open-ended question about how each student would prefer to be grouped. 
  • Allowing teams to self-select may help, but it may also create more homogeneous teams.
  • Forming teams based on self-reported sense of belonging may help accomplish this (e.g. not stranding students who report a low sense of belonging on a team with all high-belonging students).
  • Consult with expert resources on your campus to develop strategies that meet this goal while complying with privacy, legal, and ethical considerations.

For more information on team equity, see the scoping review conducted by researchers at the University of Michigan, as well as a graphic illustrating their findings. They identified seven themes of team equity: alignment, dialogism, heterophily, participation, power, ownership, and risk.

A graphic wheel with Team Equity at the center surrounded by seven themes that contribute toward Team Equity, including Alignment, Risk, Power, Participation, Ownership, Heterophily, and Dialogism.

References

Legal notice: Protected identity characteristics (race, ethnicity, sex, etc.) cannot be used to assign students to teams, and should not be collected in any team formation survey. The Tandem survey tool meets these guidelines. For more information, reach out to the University of Michigan Office of the General Counsel


Moffat, A. D., Matz, R. L., Fowler, R. R., & Jeffrey, M. (2024). Facets of Team Equity: A Scoping Review. Small Group Research, 56(1), 32-70.

Resources

Brad is a 38-year-old man who is thinking about the future after leaving the Canadian Army. He has hands-on job experience in logistics and transportation but only a few college credits and no degree. He enrolled in the open online course “People, Technology, and the Future of Mobility” to learn about new technologies and get an overview of their possible impacts. He feels confident in his ability to learn independently online but dislikes reading and might struggle to spend time on the course due to heavy job demands.    

Lavonda enjoys her job in marketing but does not always feel comfortable meeting with clients. She hopes that taking the “Feedback Fundamentals” open online course will help improve her communication skills and put her in a better position for career advancement. Although she has a master’s degree in marketing, she has not taken formal classes in many years. She has never taken online classes before, and at 55, she worries she won’t be able to learn the technology needed to complete the course.  

Mohamed is a third-year engineering student in Syria who enrolled in “Community Organizing for Social Justice” because of the increased violence and injustice he sees. He knows very little about organizing and motivating people. However, he wants to work toward giving others more peaceful and equitable lives. His studies keep him busy, though, so he wants to find ways to stay motivated and make a difference in his community.  

An immensely wide variety of learners are attracted to the flexibility and low cost of massive open online courses. A single MOOC might contain learners from six continents with ages spanning teens in high school to retired adults. The range of learner demographics found in open online courses begs for an awareness of some key differences between learners’ levels of content knowledge, motivation, and engagement strategies learners bring to any given course.

Background Knowledge

Do your online learners learners share the same background and expertise? Not likely. The heterogeneity found in MOOCs means that people enter their courses with a wide range of content knowledge and background experience. These learners did not all attend schools with similar requirements and do not all live in the same regions, as reflected in the above examples of learner personas, so MOOC  “learners cannot be assumed to possess a common body of expertise and thus may approach a task with varying levels of understanding and experience” (Quintana et al, 2020). Faculty creating open online courses should take this broad range of content knowledge into account to make it accessible for diverse learners.

Motivation

Open online course learners are driven by various motivations for taking courses.  Building new skills for a career transition, professional development, and social activism are all typical motivations for learners enrolling in open online courses. Students also use them to supplement their formal training, casual interest in learning more about something (Milligan & Littlelohn, 2017), or a desire to connect with others (Zheng et al, 2015). 

Engagement Strategies 

Learners approach open online courses differently than traditional students might approach their residential courses. Some could have very little time to devote to the course each week and spend months rather than weeks to finish. Others may quickly and independently complete the required course readings, avoiding videos or optional material. Some will watch videos and only look at readings when necessary. Some learners will enjoy participating in discussions to request or offer help to peers, while others will not engage in forum discussions at all, so faculty should consider various possible activities and experiences their future learners might find engaging.  

Meaningful Connections

The flexibility and open access options of open online courses attract a variety of learners from around the globe. Some may be graduate students, undergrads, or high school students, but many others may not be students at all but working professionals with full-time jobs and/or families. To engage and maintain the interest of these learners, online content should focus on learners making meaningful connections between the theories faculty teach and how learners will use that theory in their own lives. 

References

Milligan, C. & Littlejohn, A. (2017). Why study on a MOOC? The motives of students and professionals. International review of research in open and distributed learning, 18(2)

Quintana, R.M., Halye, S.R., Magyar, N., & Tan, Y. (2020). Integrating learner and user experience design: A bidirectional approach. Learner and user experience research.  

Zheng, S., Rosson, M.B., Shih, P.C., & Carroll, J.M. (2015). Understanding student motivation, behaviors, and perceptions in MOOCs. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 1882-1895). ACM.

When the Covid-19 global pandemic began, so did a more frequent conversation about the collective trauma endured during this time, from healthcare to housing to education. As time has passed, specifically within the educational sphere, discussions about trauma-informed pedagogy, once commonplace in the scope of the pandemic, seem to have receded. However, understanding the impact of trauma in the classroom continues to be essential for student success.

What is Trauma-Informed Pedagogy?

Sarah Le Pichon and Steve Lundy, 2023, share that “…trauma-informed pedagogy does not seek to provide a “cure” for students’ personal or social histories of trauma. But a trauma-informed pedagogy…entails that there are measures educators can adopt that do not exacerbate and may even mitigate trauma in the course of learning”. The CDC states that “[a]dopting a trauma-informed approach is not accomplished through any single particular technique or checklist. It requires constant attention, caring awareness, sensitivity, and possibly a cultural change at an organizational level”.  

Trauma itself isn’t always tied to a dramatic event or story. Roger Fallot and Maxine Harris, commonly attributed with developing trauma-informed care principles in 2009, note that “Trauma is pervasive. National community-based surveys find that between 55 and 90% of us have experienced at least one traumatic event. Individuals report, on average, that they have experienced nearly five traumatic events in their lifetimes. The experience of trauma is simply not the rare exception we once considered it. It is part and parcel of our social reality.”

In considering how to conceptualize trauma-informed pedagogy in the current context of higher education, specifically online, we spoke with four education innovators at University of Michigan to gain insight into their expertise of how to best understand and practically apply this concept.

Who is Trauma-Informed Pedagogy For? 

Trauma-informed pedagogy is for everyone. Dr. Kyra Shahid, Director of the Trotter Multicultural Center, shares that it’s not only for everyone, but specifically for “those invested in education being a pathway towards healing, restoration, innovation and change”. She continues, “We’d be remiss to not pay attention to how global, national, and local trauma impacts the way students see the world who have seen vast changes in how we teach online.” Shahid feels that this work is relevant to the world we live in now and helps learners to avoid cognitive dissonance during a time when the world is vastly changing. Due to this, she feels that one must disrupt the “normal” and teach in a way that is responsive to what this generation has lived through, from racial terror to mass shootings.

Dr. Rebeccah Sokol, Assistant Professor of Social Work, adds that Trauma-Informed Pedagogy is beneficial to both her, as instructor, and to her students. It’s simply put, a “compassionate teaching style”.  She feels that open communication about her students and their lives is really beneficial & helps her students and her be more authentic in the process, which opens the door to being able to learn and receive information. Sokol shares that because of Trauma-Informed teaching practices, she comes to every classroom setting with the understanding that students are coming to the learning experience with a lot of lived experiences. She recognizes and honors their diversity of experience which enriches the depth of learning for the entire community.

“Trauma-informed pedagogy is a learner-centered approach that focuses on the needs of students first and foremost. Since the pandemic, I think we have seen an overall shift toward putting the experience of students first, even if it means making adjustments to expectations and timelines for course delivery,” says Dr. Rebecca Quintana, Director of Blended and Online Learning Design at The Center for Academic Innovation. She also shares that these ideas can also be applied to instructors. “Instructors need to give themselves grace as they seek to provide grace to their students. For instructors, it can be challenging to know how much visibility to give students into challenges they are facing personally, so it is important to thoughtfully navigate each situation on a case by case basis.”

Dr. M. Remi Yergeau, Associate Director of the Digital Studies Institute, notes that there are misconceptions, or bias, when it comes to trauma-informed pedagogy. They note that before one can do the work of learning, one does not need to resolve their trauma. “There is a common misconception, more of a bias, around trauma as well as disability…that people who are in the throws of lived experience, like people experiencing the traumatic impact of a life event, people who are going through a medical event, disabled folks…there is a presumption that you shouldn’t be here”. They add that there is a presumption that you need to get your life in order before you can do the work of learning, which is harmful and presumptuous that experience is not valuable.  Yergeau also feels that it’s important to remember that trauma isn’t just one thing; it can be in the community, a lived experience, social structure, identity, or even one’s body. 

Shahid also shared that we need to reframe our thinking that trauma-informed pedagogy is therapy: “…[Trauma-Informed Pedagogy] is not focused on individual needs but on the collective needs of the entire classroom, instructor included”. Sokol shares it could be as simple as a mindset shift to “…come to teaching with understanding that people have a diversity of experiences and backgrounds and being mindful of that diversity when teaching and interacting with students.” Overall, they emphasize that a student’s life experience is valuable within the learning environment.

Trauma-Informed Pedagogy for Online Learning

When we asked Shahid about practical ways to incorporate Trauma-Informed Pedagogy into their online teaching, she suggested that instructors build in time to reflect and time to incorporate the body. “Don’t fall into the practice of education just being an exchange of intellectualism,” she warns. “[We need to acknowledge] the ways that our body is impacted by what we learn, how we learn, where we learn.” If content is particularly challenging–whether due to the nature of the topic or technical difficulty–students can benefit from pausing and allowing the tension of that stress to move through them. Online learning environments can feel somewhat disembodied, relegating student representation to posts on a discussion forum or a small box on a video meeting screen. Technology can engender cognitive dissonance, Shahid says, and establishing ways to remember students as part of a learning group—and as part of their bodies—can support learning. 

Shahid points out that most of human communication is actually nonverbal. “It’s not the words we use, it’s our body language, it’s the eye contact, it’s the energy that we share when we come into a room,” she explains. “It’s those things that really influence how we experience, what we learn, and what triggers in our body that we’re safe or we’re not safe.” Since online learning tends to be absent of many of these cues, this can be particularly challenging for learners with a history of trauma, or for anyone living through unpredictable times. At the same time, she says, technology can bridge gaps, and bring in forms of engagement less common in a classroom.

Yergeau notes that instructors don’t have to limit their online teaching to tools like Zoom or Canvas. Platforms like Discord, for example, may have a steep learning curve, but can also allow for students to signal ways they would like to engage, and more layered conversation. No tool is perfect, and Yergeau suggests “pulling in students to do the critical work of assessing those technologies themselves.” They ask, “how are these technologies imagining their users?” Similarly, how are we as instructors imagining learners as we make decisions about how we teach?

While technology presents incredible opportunities for online teaching and learning, Shahid points out that educators aren’t always trained in how to fully utilize it in ways that are continuously accessible to students. Yergeau also notes that it is important to consider how the tech we use ultimately uses the data of our learners, with or without their consent.

Trauma-Informed Pedagogy and Diversity, Equity and Inclusion (DEI)

The principles of trauma-informed teaching—for example caring awareness, transparency, and empowerment—can support all learners. They also provide a framework for instructors to be human too, sharing our pedagogical decisions with students so that they can be improved. Because of its focus on trustworthiness, collaboration, and voice, trauma-informed approaches can be the glue that supports diversity, equity, and inclusion not only in the classroom, but on campus as well.

Shahid points out that trauma-informed pedagogy, DEI, and other forms of healing centered practices are interrelated. “For me, [trauma-informed pedagogy] is what allows us to apply the good work of DEI that we have been doing for so many years in ways that are responsive to the students we are working with in the moment.”

Whether we are talking about DEI or trauma-informed pedagogy, Yergeau says, “we’re talking about ways of viewing and approaching the world.” They note that it can be easy to imagine how individual trauma intersects with disability, but that it can also intersect with class, intergenerational trauma, legacies of colonialism, racism, and war – the ways in which our country is structured around violence and disempowering folks. We can provide learning experiences that support people where they’re at, Yergeau says, but we can also come at it thinking in terms of providing learning experiences that support social and educational transformation.

Practical Tips

Looking for concrete ways to incorporate trauma-informed pedagogy into your online classroom? Check out these tips below, synthesized from our conversations with faculty.

  1. Environment: Think about the kind of learning environment you want to create.
  • If you have synchronous meetings, plan the way you kick off each session. Are there ways to cultivate an atmosphere that gets students feeling welcome and ready to learn? Some instructors make use of icebreakers, check-ins, Zoom surveys or chat prompts, or music.
  • If your course is asynchronous, are there regular announcements that can be sent, or can periodic introductory pages be embedded in a course site? These can be ways to create rich regular touch points that use clear expectations, reminders, or gifs to build a cohesive community that helps learners to orient themselves and prepare.
  • Work with class participants to develop a group agreement. Sometimes called community guidelines or ground rules, activities like this can make transparent expectations and requests of one another as a class.

2. Time: Slow down and take stock of the moment.

  • Build in time for the class to pause and reflect, such as mindful moments before and after engaging learning activities. This can help students to prepare, shift gears, or reflect and synthesize. 
  • When traumatic events or experiences occur in the world or lives of individuals it can be feel dissonant to go about business as usual. If you are aware of something that may be weighing on students’ minds or bodies, consider creating moments to shift outside of routine. This can mean journaling, an unplanned discussion, or taking the opportunity to connect what is going on with course content so students can see how what they are learning is relevant.

3. Bodies: teach to the whole person.

  • Think about ways to acknowledge how the body is impacted by how and what we learn. If you teach online, recall that sitting for long periods can cause physical discomfort or present challenges to concentrating. Consider taking breaks for movement, or incorporating the body into the learning process. If course content is emotionally difficult, movement can be an ally to work through the material and any tension it may cause in the body.
  • Consider cultivating a learning environment that normalizes rest and restoration rather than busyness and opportunity/information overload. This could look like a segment of the course schedule that doesn’t introduce new content or assignments so that learners can focus on wellness, or regular messages that go beyond content to support student wellbeing.

4. Engagement: include yourself and students in your pedagogy.

  • Let students know why you’ve made certain decisions about class assignments or structure, and the ways in which your teaching style supports you–your passion and values, and also your own wellbeing and boundaries. Students want us to support them, but they don’t want us to burn out.
  • Invite students to be a part of class design or making decisions regarding their assessment. This can provide a sense of control, fairness, inclusion, and importance. We can do as much as possible to plan for learner success and inclusion, but nothing takes the place of students’ determining their own learning. Tools like Gameful that integrate with Canvas or other Learning Management Systems can be an effective way to support learners in individualizing their learning and assessment.
  • Learning isn’t just a two-way street between students and teachers, but also among students themselves. Invite students to share from their own knowledge and experiences, and build in time and activities to help build connections among learners. This can be particularly important in online classes, where students can sometimes feel isolated or as if they are going through class materials alone. For example, there could be regular discussion prompts that get students talking to one another about life or hobbies, and not just course material. Some instructors hold weekly synchronous drop in office hours where students can chat with the instructor about anything, or find fellow students and connect with them. It can be helpful to let students know that there is always room for conversation, connection, and disagreement.

5. Flexibility: Build in a diversity of ways to participate.

  • Online learning can rely heavily on live or recorded lectures, quizzes, and discussion forums. This can feel predictable for students–in both good ways and bad. To create a variety of ways of engaging with material, some instructors layer in use of Discord or other tools. This can provide opportunities for students to go beyond what Zoom or Canvas allow in terms of communication and relationship building (think gifs, or threaded chats, or ease of movement between multiple concurrent video discussions). Other instructors encourage opportunities for video, audio, or image responses as alternatives to writing.
  • Not all technology is equally accessible. The burden of pointing this out can fall to students whose needs aren’t being met. Before that happens, some instructors engage students in analyzing and selecting options that work best for the group or individuals.
  • Create ways for students to signal how they want to interact if they choose. For example, do they want to be reached out to outside of class for study groups, or do they like communicating by email, text, or other apps?

Resources

References

COVID-19 caught everyone off guard in 2020. Suddenly, all classes had to be held online and instructors and students had to react quickly with minimal help. With time to reflect on these experiences, faculty ask themselves what methods are available to keep students engaged and motivated in an online or virtual environment.

At the Center for Academic Innovation, gameful pedagogy is one approach to increasing student engagement. This method of course design takes inspiration from how good games function and applies that to the design of learning environments. 

One key goal of gameful pedagogy, as one might guess, is leveraging student motivation. To achieve that, course designers draw on elements of Self-Determination Theory, or SDT for short. This theory centers the power of intrinsic motivation as a driver of behavior. It sits on three primary pillars: autonomy (the power of choice a learner can have in their learning experience), competency (a feeling of accomplishment derived from completing a challenge), and belongingness (a feeling of being included and heard by the environment one is in or the people around them) (Deci & Ryan, 2000). 

Yet, gameful pedagogy isn’t just about SDT. Practitioners also believe in an additive point-based grading system instead of traditional grading. In traditional deductive percentage-paced grading, learners start at 100% and have their points deducted as they learn, which does not align with what learning is about. 

In a gameful course, learners are treated as novices when they first start a learning journey, so they start from zero and then work their way up to their goals. It also provides learners the freedom to fail. From a gameful point of view, it is unfair to expect learners to be “perfect” in learning environments because mistakes are common in learning, and they are great growth opportunities. Therefore, in gameful, learning environments that leave space for learners to explore and offer chances to make up for mistakes are preferred. It is important, however, to acknowledge that this freedom does not mean creating an out-of-control environment. Educators can still apply limitations by assigning different point values, requiring the completion of certain tasks to unlock others, etc. to ensure that students are working toward the learning goals. All of these approaches and more boil down to gameful pedagogy, and this course design method has been used in a wide range of classes, from higher education down to K-12. However, most use cases occurred in person before the 2020 COVID outbreak. Does gameful also work in online environments?

That turns out to be a great question for Pete Bodary, clinical associate professor of applied exercise science and movement science in the School of Kinesiology.  He has taught gameful courses for several years, including MOVESCI 241. This course teaches body mass regulation assessments, principles, and strategies. It is constructed with an additive point-based grading scheme, all-optional assignments (a student has the autonomy to complete any combination of assignments to get to their desired grade/goal), a strong supportive network, and real-world relevant topics (diabetes, disordered eating, weight control, supplements and safety, etc.). 

To maintain all assignments as optional while ensuring that students are on track to the learning objectives, Bodary assigns significantly more points to certain assignments to encourage completion. Some assignments include personal dietary intake and physical activity tracking, case studies, participation and reflections on dietary and physical challenges, and more. 

In Winter 2023, he decided to give students more freedom to engage with the class lectures on top of the existing setup. Students could choose from three distinct sections: the in-person section, the synchronous virtual section, or the asynchronous virtual section. In the in-person section, students were required to attend lectures in person. In the synchronous virtual section, students could participate in lectures online while being live-streamed. The asynchronous virtual section allowed students the freedom to watch lecture recordings at their convenience without the obligation to attend lectures in real-time. 

Did students in different sections perform differently in this course? The short answer is no, not significantly.

“Those who are remote do not have the ease of popping out a question, [meaning the ability to raise their hand and spontaneously ask questions], so that is one difference to consider. However, we maintain a pretty active [asynchronous] Q/A space. I don’t believe that they ‘performed’ differently,” Bodary said.   

Students engage with the course content differently, but they are all motivated and learning in their own way.

In fact, to find out students’ motivations in this course, Bodary deployed a U-M Maizey project. U-M Maizey is a generative AI customization tool that allows faculty, staff and students to build their a U-M GPT chatbot trained on a custom dataset. Bodary set up Maizey in the Fall 2023 term for the same course with a similar structure and prompted Maizey: What is the primary motivation of students? 

By evaluating students’ activity data, Maizey summarized that students are primarily motivated by finding course materials relatable and beneficial to improving their personal and loved ones’ health and well-being, connecting knowledge and issues they garnered in their daily lives to class content, and implementing course content in real-world problems. 

Looking at this example, three key characteristics emerge: controlled freedom for students to choose how to engage with the course, opportunities for students to make personal connections with course content, and possibilities for students to apply course content in real-world situations. 

Tying these characteristics back to gameful pedagogy, there is alignment between them and the three components of SDT – autonomy, belongingness, and competency. Furthermore, the additive grading system and all-optional assignment design support student exploration and agency to choose assignments and coursework.  The course format, whether in-person or online, didn’t impact students’ motivation. Instead, the fact that students can choose their own way to participate in the class may motivate them even more. 

What’s important here isn’t modality (online, in-person, or asynchronously) but rather the content and design of the course. The success of MOVESCI 241 hinges on a carefully designed course where students can successfully meet the learning goals regardless of how they engage. The design of MOVESCI 241 is gameful, but not all gameful courses are designed this way. If you want to use gameful pedagogy to increase engagement in your course, you can start with these steps. You can also check out GradeCraft, a learning management system (LMS) built at the center to support gameful courses. Some key features of GradeCraft that make it a perfect companion for gameful courses are the additive grading system, mechanisms for tracking tangible progress (points planner, levels, unlocks, and badges), and functions for flexibility (highly tailorable for both instructors and students). Finally, if you want to learn more about gameful pedagogy or GradeCraft, please email us at [email protected], and staff would be happy to set up a conversation with you.

References

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.

Generative AI can be a valuable asset to instructors looking for assistance with creating various aspects of course design. For example, generative AI, such as ChatGPT, can be a valuable tool for educators in drafting learning objectives. Using GenAI in any setting is usually a process of drafting and then refining prompts until the desired result is achieved. In this article, we will outline some ways to generate and refine learning objectives for a course.

Learning objectives are concise statements that articulate what students are expected to learn or achieve in a course. They play a crucial role in guiding both teaching strategies and assessment methods, ensuring that educational experiences are focused and effective. Clear and well-defined learning objectives are essential for aligning educational activities with desired learning outcomes. By analyzing a vast array of educational content and pedagogical methods in its training data, AI can offer a wide range of learning objective recommendations, which educators can then build off of, using their knowledge as experts in the field. 

Using your preferred GenAI tool, here is an example prompt that you can use to get started: 

This example prompt can be modified to fit your needs. For example, you may choose to add more ideas and give additional context about the course. The more detail and context you provide in your input, the better the AI output will be. So please feel free to add in outlines, syllabi, or any other materials that may help your GenAI assistant better understand your vision. 

Example: An Online Course on the Cold War

Drafting Objectives

Now that we have our example prompt, let’s see an example of it in action. Imagine you are an instructor for an introductory online course on the Cold War. You plan to use ChatGPT to generate some ideas on potential learning objectives to get you started and guide your curriculum creation. You already have some general ideas on what you want to cover: causes, major events, and overall impact. You fill in the prompt as so: 

You press enter and ChatGPT provides you with the following learning objectives: 

Refining

It is now up to you as the expert to determine which learning objectives are the most relevant and how you should go about revising them. For example, you may look at the list and notice that there are no learning objectives that ask the learners to create something with the knowledge they’ve acquired throughout the course (e.g., a final project). You return to ChatGPT and ask the following: 

In response, ChatGPT provides you with the following: 

If you disagree with this suggestion, you can reply with “More?” to get additional ideas. ChatGPT will then provide you with a longer list: 

You can repeat this process as often as you’d like – adjusting the prompt and adding additional context (e.g., outlines, key ideas, information about your teaching style) to get better responses. When formulating responses for you, ChatGPT looks at the entire chat log so it is recommended that you continue to add to the same chat for best results.

In our next article, we’ll explore how to use Generative AI to improve accessible language in your course.

Education is undergoing a significant transformation as generative artificial intelligence continues to develop at a rapid pace. It is now easier than ever for educators to experiment with generative AI in their practice and see for themselves how generative AI can be leveraged during the course development process to brainstorm, synthesize, and draft everything from communications to students to learning objectives.

Generative AI: The Basics

Before experimenting with Generative AI (GenAI), it is helpful to have some high level foundational knowledge of how GenAI works. Essentially, GenAI functions using advanced machine learning algorithms, specifically neural networks, which emulate human brain processing. These networks are trained with large datasets, enabling them to learn language patterns, nuances, and structures. As a result, GenAI can produce contextually relevant and coherent content, a capability exemplified in tools like ChatGPT. 

To better understand how GenAI tools like ChatGPT work, let’s look at a breakdown of the acronym “GPT”: 

GPT stands for “Generative Pre-trained Transformer.” It is a type of artificial intelligence model designed for natural language processing tasks. “Generative” refers to its ability to generate text based on a combination of the data it was trained on and your inputs. It can compose sentences, answer questions, and create coherent and contextually relevant paragraphs. 

The term “Pre-trained” indicates that the model has undergone extensive training on a vast dataset of text before it is fine-tuned for specific tasks. This pre-training enables the model to understand and generate human-like text. 

Finally, “Transformer” is the name of the underlying architecture used by GPT. Transformers are a type of neural network architecture that has proven especially effective for tasks involving understanding and generating human language due to their ability to handle sequences of data, such as sentences, and their capacity for parallel processing, which speeds up the learning process. 

The GPT series, developed by OpenAI, has seen several iterations, with each new version showing significant improvements in language understanding and generation capabilities. Many of these improvements are due to the model continuously training on user inputs. OpenAI has made it transparent that your data is being used to improve model performance and you can choose to opt out by following the steps that will be outlined in the upcoming articles on how to use GenAI tools for course design, learning objectives and more.

Does It Matter Which GenAI Tool I Use?

Not really. Individuals may find preferences for one tool or another based on response speed or comfort with the interface. You may wish to use a tool that can opt out of using personal data for training purposes. Most of the GenAI tools are generally similar.

Next Steps and Considerations

In educational contexts, the incorporation of GenAI tools, such as ChatGPT, will potentially reshape our approach to content creation and improve efficiency for educators who often find themselves pressed for time. However, it is important to note the importance of acknowledging the technology’s limitations, such as potential biases, outdated information due to insufficient training data, and incorrect information – often referred to as “hallucinations.” It is vital that you always fact-check and revise GenAI outputs to maintain the integrity and high quality of your content.

In conclusion, by leveraging GenAI tools like ChatGPT, educators can navigate course design with greater ease and efficiency. From drafting learning objectives and engaging course titles to simplifying complex academic language and brainstorming assessments, GenAI has the potential to be an invaluable asset to your design work. However, it is critical to remember that these tools come with limitations, including potential biases and inaccuracies. By combining the strengths of GenAI with the expertise and critical oversight of educators, we can efficiently create new experiences for our learners.

The Roundup on Research series is intended for faculty and staff who are interested in learning more about the theories, frameworks, and research in online and technology-enhanced teaching and learning.

If you have been anywhere where teaching is involved, you have probably heard mention of “learning styles.” “I’m a visual learner” vs. “I’m a hands-on learner” or “My instructor didn’t teach in my learning style” are all the types of commentary that are common when some individuals talk about their own learning. Although it is deeply appealing to be able to categorize individuals into easy methods of learning, unfortunately, it is deeply flawed, has little empirical evidence to support it, and might cause more problems than it solves.

What are Learning Styles?

To best understand why learning styles are problematic, it is important to clearly define learning styles. The idea of learning styles is that there are stable, consistent methods that individuals take in, organize, process, and remember information, and by teaching those methods, students learn better. 

One popular concept in learning styles posits that the modality of information is critical – a “visual” learner learns best by seeing versus an “auditory” learner who learns best by having things spoken or described to them. Learning style theory would suggest that by using visual aids, a visual learner would organize and retain information better than say, an auditory learner. The implication is that matching modality information to the modality of learning style is critical to student success.

At face value, the concept of learning styles makes sense. Individuals learn differently. Most educational settings are trying to reach large numbers of students in personalized ways.  It would be useful to have an easily applied theory that would help all students learn! As educators, we want to recognize the “uniqueness” of each student and help learners in any way we can. This desire has led educators to look for easier ways to navigate the complexities of teaching. Unfortunately, learning is not that simple.

Do Learning Styles Really Exist?

In general, most learning style theories make two presumptions: 

  1. Individuals have a measurable and consistent “style” of learning, and 
  2. Teaching to that style of learning will lead to better education outcomes, and conversely, teaching in a contradictory method would decrease achievement. 

In other words, if you are a visual learner, you should learn best if you see things, regardless of the situation. If you are a kinesthetic learner, you will learn best if you can physically manipulate something, regardless of the topic. However, neither of these two assumptions shows any grounding in research. These two propositions are where we can see the concept of learning styles breaking down.

Are Learning Styles Measurable and Consistent?

Did you know that there are actually over 50 different theories of learning styles by various researchers? Researchers have been trying for years to find a correlation between individuals and how to help learning. Some theories suggest the modality of learning matters (like the common VARK theory) while others propose details like time of day and temperature of the room define a learning style. One study that suggested using a cell phone was a learning style (Pursell, 2009).  Just the number of different styles makes it difficult to measure and make sense of an individual style. 

In addition, most learning style inventories rely on a student’s self-report about how they perceive they learn best. These self-reports are generally not validated in any way.  Generally, humans tend to be poor judges of our own learning. Therefore, these surveys are generally measuring “learner preference” rather than “learning style.” You may think you are an auditory learner but until it is validated that you objectively learn better through audio format, it is a preference, not a style. 

Also, when reporting results, many studies will rely on “student satisfaction” as a measure of success, or rely on students’ reflections as a measure of success in a class. For example, many measures of learning styles will ask students how they believe they learn best. Unfortunately, satisfaction with a class or a student’s recollections of success are subjective measures, and generally not accurate (Kirschner & van Merriënboer, 2013, Kirschner, 2017).  While understanding a learner’s preference is useful as is understanding student satisfaction with a lesson, it does not have the same weight as necessitating teaching to that preference. 

Finally, ​​”styles” are unstable and unreliable. The research on learning styles has suggested that these preferences may be unstable – they be topic-specific, but they also change over time (Coffield et al., 2004).  That means that although an individual may be a kinesthetic learner in history this week, that person is a visual learner in math when talking about calculus (but not about geometry), or prefers to learn how to ride a bike kinesthetically instead of reading about it in a book. This questions whether a learning style is a “trait” (or something stable and persisting for a person) or a “state” (something that is temporary and may change). Learning styles as a state of mind are not particularly useful. How can a teacher know the preference of an individual student today in a given subject? 

Does Teaching a Learning Style Result in Better Learning?

Even more importantly, however, is the second assumption – does teaching to an individual’s learning style lead to achievement? Simply put, there is no evidence that supports teaching to a person’s specified learning style results in better learning (Alley, et. al., 2023; Cuevas, 2015; Kirschner & van Merriënboer, 2013; Krätzig & Arbuthnott, 2006; Pashler et al., 2008; Rogowsky et al., 2020). No study has shown that teaching to an identified learning style results in better retention, better learning outcomes or student success. Instead, we see that teaching to a self-identified learning style has no impact on learning in children or adults (Krätzig & Arbuthnott, 2006; Paschler et al., 2008; Rogowsky et al., 2015, Rogowsky et al., 2020). Some research suggests that some students performed better on tasks when taught in a different modality than their self-identified “learning style” (Krätzig & Arbuthnott, 2006, Rogowsky et al., 2020). Most studies of learning styles use a methodology that uses multiple styles to all learners – meaning that there is no way to isolate learning style to teaching method. This leads us to ultimately conclude that while the concept of learning styles is appealing, at this point, it is still a myth.

Alternate Explanations to Learning Styles

Anecdotally, there are many stories about the success of leveraging “learning styles.” If learning styles are not empirically supported, how are these successes explained? There are alternative explanations for why teaching in multiple methods increases achievement that do not prescribe students into style categories. Multi-modal learning explains how learning improves with various methods of teaching.  

Learning requires sustained attention. Therefore, if an educator can capture and maintain students’ attention, students’ learning outcomes likely improve.  Providing engagement with content in multiple forms – be it through hands-on activities, or different modalities – makes students pay attention to content in different ways, and requires learners to integrate knowledge in new ways. If an educator is using multiple methods and modalities, it’s just more interesting, and students pay more attention, which leads to better learning. Mayer and colleagues (2001, 2003) have extensively studied how students learn with visuals and audio, and the interaction of the two. What he and his colleagues suggest is that by providing dual streams of information in multiple methods engages learners to work harder at understanding the material, which leads to better learning. It may be that the research on learning styles is actually showing that teaching with different modalities is just more interesting to students rather than catering to a particular style of learning ​​(Krätzig & Arbuthnott, 2006).

Why Learning Styles are Dangerous

While the intentions of learning styles are good, the implications of learning styles are more destructive than helpful.   On the positive side, reflecting on how one learns is always a lesson. However, by focusing on a style suggests that learners are passive vessels at the whim of the method of teaching. Ultimately, most educators want students to actively engage in their learning. The best learning takes place when an individual can connect and incorporate information into his or her personal experiences and understanding. By focusing on a student’s learning style we reinforce a simplistic view of learning. Learning styles suggest that individuals have one way to learn best. Unfortunately, learning is complex, and not easy. This is hard and takes time! It has very little to do with the way information is handed to a learner, but rather, how the learner processes that knowledge once they have it. It is important to remember – learning is within the control of the learner. 

Thinking Critically About Learning Styles

If learning styles do not impact an individual’s ability to learn, why is there so much talk about them? Articles and books are still being published about learning styles and how to tailor teaching to reach every style. Research on teaching and learning is a complicated discipline, and being able to examine theories and concepts like learning styles critically is important to anyone working in education. The challenge is to keep a skeptical eye when you hear about research supporting learning styles and ask the right questions to make sure you are getting good information.

What Should you Think About the Next Time you Encounter Learning Styles in the Wild?

  1. What framework of learning styles are they referring to? Some are more empirically vetted than others. The most popular learning style VARK (Visual-Auditory-Read/Write-Kinesthetic) is also the least validated. Find out more about the learning style being discussed.
  2. How are they measuring both learning style and success? Are they self-reported? Are they looking at academic results or a self-report of satisfaction with learning?
  3. Is the study carefully controlled? Many studies fail to tailor the learning to a particular style. Rather, the lesson uses all the styles to reach all the students. There is no way to truly measure success.
  4. Learning styles can be controversial with some people. They aren’t necessarily harmful if they encourage people to reflect on teaching and learning in different ways. They can be harmful if students believe that their learning is outside their control.

References

Alley, S., Plotnikoff, R. C., Duncan, M. J., Short, C. E., Mummery, K., To, Q. G., Schoeppe, S., Rebar, A., & Vandelanotte, C. (2023). Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? Journal of Health Psychology, 28(10), 889–899.

Coffield, F., Moseley, D., Hall, E., & Ecclestone, K. (2004). Should we be using learning styles?  What research has to say to practice: Learning & Skills Research Center.

Cuevas, J. (2015). Is learning styles-based instruction effective? A comprehensive analysis of recent research on learning styles. Theory and Research in Education, 13(3), 308–333.

Kirschner, P. A. (2017). Stop propagating the learning styles myth. Computers & Education, 106, 166–171.

Kirschner, P. A., & van Merriënboer, J. J. G. (2013). Do learners really know best? Urban legends in education. Educational Psychologist, 48(3), 169–183.

Krätzig, G. P., & Arbuthnott, K. D. (2006). Perceptual learning style and learning proficiency: A test of the hypothesis. Journal of Educational Psychology, 98(1), 238–246.

Lau, W. & Yuen, A.  (2009).  Exploring the effects of gender and learning styles on computer programming performance:  Implications for programming pedagogy.  British Journal of Educational Technology.  40(4), 696-712

Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43-52.

Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles:  Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105-119.

Pursell, D. P.  (2009)  Adapting to student learning styles:  Engaging students with cell phone technology in organic chemistry.  Journal of Chemical Education.  86(10), p1219-1222.

Rogowsky, B. A., Calhoun, B. M., & Tallal, P. (2015). Matching learning style to instructional method: Effects on comprehension. Journal of Educational Psychology, 107(1), 64–78.

Rogowsky, B. A., Calhoun, B. M., & Tallal, P. (2020). Providing Instruction Based on Students’ Learning Style Preferences Does Not Improve Learning. Frontiers in Psychology, 11.

The Roundup on Research series is intended for faculty and staff who are interested in learning more about the theories, frameworks, and research in online and technology-enhanced teaching and learning.

One of the first questions many educators ask when getting started teaching online is “How do you recreate the experience of a face-to-face classroom in an online environment?” While there are many facets to that question, many instructors refer to the sense of community and connection as a gap that they struggle to overcome. However, much research has been done on the impact and development of learning communities in the online classroom. In this article, we will discuss the influential framework Community of Inquiry (CoI), how it can be used to inform your own teaching, as well as how it has been used to frame online learning research in the research.

Community of Inquiry Model

One of the most used frameworks applied to the understanding of online learning environments is the community of inquiry (CoI) model (Garrison, et. al, 2000). Originally developed by observing asynchronous text-based learning environments, CoI suggests that there are three core interdependent elements to a learning experience: social presence, cognitive presence, and teaching presence. The intersection of the three presences results in what is categorized as “deep learning.” Rooted in the belief that learners construct meaning within social contexts (social constructivism), Community of Inquiry makes meaning of how learners interact online to create knowledge.

Three Presences: Cognitive, Teaching, and Social

Cognitive presence is the capacity for meaningful construction of learning. Cognitive presence is often what instructors might think of the active learning portion of a class. Indications of cognitive presence include asking questions, engaging in reflection on a topic, and scaffolding engagement with a topic. Cognitive presence can be supported by an instructor asking probing questions, modeling reflection, and encouraging active participation from learners. As the community grows together, other learners may (and should) also participate in the facilitation of cognitive presence.

Venn diagram of Community of Inquiry model with three presences (social, cognitive, and teaching) all intersecting. Common area between social presence and cognitive presence is supporting discourse. Common area between social presence and teaching presence is setting climate. Common area between teaching presence and cognitive presence is selecting content. All three areas intersect with educational experience.


Teaching presence is the design, structure, and guidance that directs the learning experience. Instructional design is one of the earliest ways to demonstrate teaching presence (course materials, assessments, activities). However, it is also important to consider how the instructor demonstrates active teaching presence throughout the time of the course. This can take the form of weekly introductory emails, specifying expectations for Zoom sessions, or providing assistance to a student struggling with a topic. Teaching presence is not isolated to the instructor alone, rather, can also be exhibited by students by providing structure and guidance to fellow students.

Social presence is the ability for participants in the community to represent themselves as whole people complete with emotions and personality. It is easy to focus on the design of a course thinking about the content that needs to be taught or the learning objectives to be met. In a face-to-face classroom, much of the social presence happens spontaneously through a shared location. In an online setting, we design our courses and spaces to encourage the development of social presence. This could involve including an introduction area for students where the instructor shares (and encourages students to share) some pieces of personal information, infusing weekly posts or announcements with personality as well as giving students space to express their own personalities.

COI in the Literature

As one of the prevailing frameworks in current online teaching and learning, the Community of Inquiry model has been in the academic spotlight frequently over the past several years. In a recent search, CoI has been cited in over 1000 articles during the last three years alone. As classrooms transitioned to emergency remote and/or online teaching during the pandemic, CoI has been used to explain students’ motivation in courses (Turk et al., 2022), how to understand the bridge between informal and formal learning (Chatterjee & Parra, 2022), and leveraging learning analytics for student feedback (Yılmaz, 2020). It is also hypothesized that different types of disciplines may have different need profiles for presence, for example, some disciplines may have greater social presence needs vs. teaching presence needs (Arbaugh, 2013).

Most critically, social presence has been associated with student satisfaction in online learning. While teaching and cognitive presence are positively correlated with students’ perceptions of learning (Akyol & Garrison, 2008; Turk et al., 2022), social presence was highlighted as faculty transitioned to emergency remote teaching during the pandemic. Studies of social presence have cited timeliness of feedback and coaching (Conklin & Dikkers, 2021), frequency of communication and feedback (D’alessio et al., 2019), and the opportunity for social interactions regardless of whether those opportunities were acted upon (Weidlich & Bastiaens, 2019) as ways to build social presence. The benefits of increased social presence suggest decreased issues with academic integrity (Eshet et al., 2021), increased student performance (D’alessio et al., 2019), and increased higher-order thinking (Stein et al., 2013).

Critiques of COI

While being one of the most popular frameworks leveraged in online teaching and learning right now, CoI is not without critique. First, it assumes that learning is inherently social. If your teaching philosophy does not align with the underlying beliefs of social-based learning (like constructivism), this may not be the best framework.

In Xin’s (2012) critique she notes the challenges of parsing out what is a “social presence” interaction (since CoI assumes all learning is social) from the other types of presences. How are cognitive presence and teaching presence different if they are also inherently social? In addition, because CoI is rooted in written communication between community members, is there a difference between what happens in written, asynchronous communication versus what may take place more spontaneously with spoken, synchronous communication? Others have suggested that CoI does not take into account interpersonal contributions to learning. Learners may also need to take responsibility for their learning, and they may not always be invested in a learning community  (Shea et al., 2014; Wertz, 2022).

Finally, CoI was developed during a time when synchronous communication (like videoconferencing) was at a premium. The research has not yet determined whether CoI applies equally as well when a portion of communication is taking place synchronously.

How to Incorporate COI Into Your Online Design

One of the reasons the Community of Inquiry is so popular is that it can be used proactively as a framework for creating a more engaging learning environment. Facilitating an online course can feel like teaching to a black box. CoI provides a way to be proactive in development to make teaching online more effective. The best way to leverage CoI is to think about the three types of presences and how you are planning to address them each week.

Since CoI is rooted in active communication, one of the best things to do is to create a communication/engagement plan.

Ideas for Increasing Teaching Presence:

  • Write weekly introductions and weekly summaries. Consider including points that you may have found particularly interesting and/or general comments on discussions within class.
  • Use the Announcements feature to post timely updates.
  • Return emails and assignments within a set expectation. For example, “I will return short assignments within 3 days. Our longer papers will be returned within 7 days”
  • Create a survey for students to get feedback on organization/communication. Make adjustments based on feedback, and then communicate those changes back to students. Students need to know that you have made changes based on their feedback.

Ideas for Increasing Cognitive Presence

  • In videoconferencing (like Zoom), create handouts or guided notes so students can be active during lectures.
  • Tools like Persuall can engage students asynchronously with communications on readings.
  • Use case studies, application, and reflection assignments to encourage students to consider content topics and make meaningful connections

Ideas for Increasing Social Presence

  • Social presence is facilitated by the instructor. Demonstrate commitment to connection with students. Create a communication plan. Students frequently cite feedback from instructors as a critical aspect of feeling connected in a class. Give students expectations for timeliness of feedback and provide enough detail to build an academic relationship.
  • Create space for social interactions during Zoom sessions. Take the first 3 minutes for small talk, have a question of the day, or use a poll to encourage students to share about themselves if they feel comfortable.
  • Use a discussion board for informal conversations. Consider a theme – favorite meme, favorite place to travel, food that reminds you of home. Make sure that as the instructor, you participate as well.

If you are interested in learning more about Community of Inquiry, visit the COI website.

References

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Chatterjee, S., & Parra, J. (2022). Undergraduate Students Engagement in Formal and Informal Learning: Applying the Community of Inquiry Framework. Journal of Educational Technology Systems, 50(3), 327–355.

Conklin, S., & Dikkers, A. G. (2021). Instructor Social Presence and Connectedness in a Quick Shift from Face-to-Face to Online Instruction. Online Learning, 25(1).

D’alessio, M. A., Lundquist, L. L., Schwartz, J. J., Pedone, V., Pavia, J., & Fleck, J. (2019). Social presence enhances student performance in an online geology course but depends on instructor facilitation. Journal of Geoscience Education, 67(3), 222–236.

Eshet, Y., Steinberger, P., & Grinautsky, K. (2021). Relationship between statistics anxiety and academic dishonesty: A comparison between learning environments in social sciencesSustainability (Switzerland)13(3), 1–18.

Garrison, D. R., Anderson, T., & Archer, W. (1999). Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher EducationThe Internet and Higher Education2(2), 87–105.

Shea, P., Hayes, S., Uzuner-Smith, S., Gozza-Cohen, M., Vickers, J., & Bidjerano, T. (2014). Reconceptualizing the community of inquiry framework: An exploratory analysis. The Internet and Higher Education, 23, 9–17.

Stein, D. S., Wanstreet, C. E., Slagle, P., Trinko, L. A., & Lutz, M. (2013). From “hello” to higher-order thinking: The effect of coaching and feedback on online chats. Internet and Higher Education, 16(2013), 78–84.

Turk, M., Heddy, B. C., & Danielson, R. W. (2022). Teaching and social presences supporting basic needs satisfaction in online learning environments: How can presences and basic needs happily meet online? Computers & Education, 180, 104432.

Wertz, R. E. H. (2022). Learning presence within the Community of Inquiry framework: An alternative measurement survey for a four-factor model. The Internet and Higher Education, 52, 100832.

Weidlich, J., & Bastiaens, T. J. (2019). Designing sociable online learning environments and enhancing social presence: An affordance enrichment approach. Computers and Education, 142, 103622.

Xin, C. (2012). A Critique of the Community of Inquiry Framework. International Journal of E-Learning & Distance Education / Revue Internationale Du e-Learning et La Formation à Distance, 26(1), Article 1.

Yılmaz, R. (2020). Enhancing community of inquiry and reflective thinking skills of undergraduates through using learning analytics-based process feedback. Journal of Computer Assisted Learning, 36(6), 909–921.