This is the paradox of failure in games. It can be stated like this:

We generally avoid failure.

We experience failure when playing games.

We seek out games, although we will experience something that we normally avoid. (Juul, p. 2)

As a continuation from my last blog post considering grades and Self-Determination Theory, I wanted to take a brief side-quest into considering what it means to experience failure. Jesper Juul’s The Art of Failure: An Essay on the Pain of Playing Video Games will provide the main outline and material for this post, while I add what lessons we might learn about feedback and course design in online settings.

Dealing with Failure

Juul outlines how games communicate through feedback using the theory of Learned Helplessness. Specifically, he focuses on Weiner’s attribution theory, which has three dimensions:

Internal vs. External Failure
1. Internal: The failure is the fault of the player. “I don’t have the skills to defeat this enemy right now.”
2. External: The failure is the fault of the game. “The camera moved in a way that I couldn’t see or control and resulted in a game over.”
Stable vs. Unstable Failure
1. Stable: The failure will be consistent. No recognition of experience gained or improvement. “No matter what I do, I can’t get past this challenge.”
2. Unstable: The failure is temporary. There is a possibility for future success. “I can improve and try again.”
Global vs. Specific Failure
1. Global: There is a general inability preventing success. “I am not good at playing video games.”
2. Specific: Poor performance does not reflect on our general abilities or intelligence. “I’m not good at flight simulators, but that doesn’t mean I’m bad at all video games.”

In general, a combination of Internal+Stable+Global failure feedback would contribute most strongly toward a player adopting a learned helplessness mindset. There is a potential parallel here with course design: when a student does not do well on an assessment, what kind of feedback are they receiving? In particular, are they receiving signals that there is no opportunity for improvement (stable failure) and that it shows a general inability at the given task (global failure)? Designing assessments so that setbacks are unstable (offer multiple attempts and a way for students to observe their own improvement over time) and communicating specific skills to improve (make sure feedback pinpoints how a student could improve) would help students bounce back from a “game over” scenario. But what about internal vs. external failure? For Juul, “this marks another return of the paradox of failure: it is only through feeling responsible for failure (which we dislike) that we can feel responsible for escaping failure (which we like)” (p. 54). This importance of internal failure aligns with what we know about metacognition (Berthoff, “Dialectical notebooks and the audit of meaning”) and the numerous benefits of reflection in learning.

Succeeding from Failure

Now that we have an idea on how we deal with failure, let’s consider how we can turn that failure into success! “Games then promise players the possibility of success through three different kinds of fairness or three different paths: skill, chance, and labor” (Juul, p. 74):

Skill: Learning through failure, emphasis on improvement with each attempt. (This is also very motivating by being competence-supportive!)
Chance: We try again to see if we get lucky.
Labor: Incremental progress on small tasks accumulates more abilities and items that persist through time and multiple play sessions. Emphasis here is on incremental growth over time through repetition. (Animal Crossing is a great example.) (This path is also supported by Dweck’s growth mindset.)

Many games reward players for all three of these paths to success. In an online course, allowing flexibility in assignment strategies can help students explore different routes to success. For example, a final project could allow for numerous format types, like a paper, podcast, video tutorial, interactive poster, etc. that students choose strategically based on their own skills and interests. Recognizing improvement will help students with their skills and helping students establish a routine of smaller, simpler tasks that build over an entire course can help them succeed through labor. Chance is an interesting thing to think about in terms of courses, but I like to think of this as it relates to content. Maybe a student “gets lucky” by having a discussion topic align with their final project topic, for example. For the student in that example, that discussion would come easier to them by chance. Diversifying content and assignment types can help different individuals and groups of students feel like they have “lucky” moments in a course.

Reflecting on Failure

Finally, how do games give us the opportunity to reflect on our successes and failures during gameplay? Juul outlines three types of goals that “make failure personal in a different way and integrates a game into our life in its own way” (pp. 86–87):

Completable Goal: Often the result of a linear path and has a definite end.
1. These can be game- or player-created. (i.e., Game-Driven: Defeat the ghost haunting the castle. Player-Driven: I want to defeat the ghost without using magic.)
Transient Goal: Specific, one-time game sessions with no defined end, but played in rounds. (e.g., winning or losing a single round of Mario Kart.)
Improvement Goal: Completing a personal best score, where a new high score sets a new goal.

For Juul, each of these goal-types have different “existential implications: while working toward a completable goal, we are permanently inscribed with a deficiency, and reaching the goal removes that deficiency, perhaps also removing the desire to play again. On the other hand, we can never make up for failure against a transient goal (since a lost match will always be lost), whereas an improvement goal is a continued process of personal progress” (pp. 86–87). When thinking about your courses, what kinds of goals do you design for? Many courses have single-attempt assignments (transient goal), but what if those were designed to be improvement goals, where students worked toward improving on their previous work in a more iterative way that replaced old scores with new and improved scores (improvement goal)? Are there opportunities for students to create their own challenging completable goals?

I hope this post shines a light on some different ways of thinking about assessment design, feedback types, and making opportunities for students to “fail safely” based on how these designs are achieved in gaming. To sum everything up, “skill, labor, and chance make us feel deficient in different ways when we fail. Transient, improvement, and completable goals distribute our flaws, our failures, and successes in different ways across our lifetimes” (Juul, p. 90).

Introduction to Intersectionality

In 1989, Kimberlé Williams Crenshaw, a lawyer and scholar of Critical Race Theory (CRT), coined the term intersectionality to describe the multiple and layered oppressions experienced by African American women. Over time, this term has been used to describe many aspects of social identity, particularly focusing on race, gender, and class oppression. Intersectionality allows us to consider the impact of multiple oppressions on individuals and groups. For example, asking what it means to be poor in the United States is different from asking what it means to be a poor, Black, woman in the United States, which is different from asking what it means to be a poor, Black, disabled woman in the Southern United States.

Intersectionality matters because, if we don’t recognize and support our most marginalized citizens, they will continue to fall through the cracks. In colleges and universities, this means that our most marginalized students may need additional support to perform to their full potential. Addressing one source of oppression may not provide enough support to students who are working to overcome multiple sources of oppression.

Disability in Higher Ed

Disability is an obstacle for many college students. Consider these statistics:

19% of undergraduate students report having a disability.
28% of American Indian/Alaska Native students reported a disability.
21% of White students reported having a disability (rounded to nearest percent).
17% of the students with disabilities are Black. (National Center for Educational Statistics [NCES], 2019).

When considering disability–or any other identity–we need to consider how other characteristics might compound the marginalization of students with disabilities. Let’s consider how race intersects with disability.

While the percentage of Black people with disabilities in higher education is lower than the percentage of White people with disabilities in higher education, in the general population, the reverse is true. According to Courtney-Long, E.A., Romano, S.D., Carroll, D.D. et al. (2017), 1 in 4 Black people have a disability, while 1 in 5 White people have a disability. This means that more white people with disabilities are accessing and progressing through higher education.

It is also important to recognize that the actual percentages of students with disabilities is higher as many students choose not to disclose their disabilities to their institutions. According to one study, “9% of students who identified as disabled did not disclose this information to their college or university” (Taylor & Shallish, 2019, p. 10).

There are clearly opportunity and equity issues that disproportionately impact students of color with disabilities in higher education.

Yet, when we work to create learning environments that are inclusive of students with disabilities, we often neglect to address intersecting sources of oppression. For example, accessibility requirements do not consider how disability intersects with other oppressions, such as class or race.

Universal Design for Learning

Universal Design for Learning (UDL) is an approach that is commonly cited as a way to meet the needs of all learners. UDL includes a framework with three general principles (multiple means of engagement, multiple means of representation, and multiple means of action and expression) each of which includes multiple guidelines and checkpoints for actual practice (CAST.org, n.d.). The goal of UDL is to increase access and usability for the greatest number of people possible. A UDL approach is structured and practical and, despite the critiques included here, is lauded for its utility by course designers and teachers alike.

UDL, however, does not meet the needs of all learners, particularly our most marginalized learners. Let me repeat: UDL does not meet the needs of our most marginalized learners, as much as we would like to believe it does. Let me highlight a few of the reasons for this.

As Dolmage (2017) explains in the book Academic Ableism: Disability and Higher Education, UDL’s emphasis on universality is problematic because universality is connected to normativity. (p. 134). Dolmage (2017) states that UDL has gained recognition by appealing to the majority, but in doing so “the needs of the majority once again trump the needs of those who have been traditionally excluded—people with disabilities” (p. 135). UDL is viewed as a framework for addressing the needs of disabled students, but its actual emphasis is on meeting the needs of the majority.
With its emphasis on “multiple means” UDL aims to include multiple learner identities and preferences; however, it “overlooks the importance of feedback from its own users” (Dolmage, 2017, p. 126). In this way, UDL ignores the individual circumstances of actual students.
By focusing on the “means,” over the students themselves, UDL is not an intersectional approach to design and teaching. Defining what a Universal Design looks like without considering the particularized realities of actual students results in the continued marginalization and erasure of students who are not in the majority.

UDL has popularized educational practices that serve many students, but in doing so, it has effectively erased the needs of some of the most marginalized students–those with disabilities. Those students with disabilities who are also part of other oppressed groups are increasingly at a disadvantage.

There’s no doubt that UDL is an incredibly useful tool and makes our course designs better, but we must not fail to recognize that UDL is not a panacea. UDL should be one of many tools we use to meet the needs of students, but let’s not forget that we need a truly intersectional approach to design and teaching. Without this, we, unwittingly or not, are contributing to the marginalization and erasure of our most disadvantaged students.

References

About Universal Design for Learning. (n.d.). CAST.org. Retrieved on June 8, 2020 from http://www.cast.org/our-work/about-udl.html

Courtney-Long, E.A., Romano, S.D., Carroll, D.D. et al. (2017). Socioeconomic Factors at the Intersection of Race and Ethnicity Influencing Health Risks for People with Disabilities. J. Racial and Ethnic Health Disparities, 4, 213–222. https://doi.org/10.1007/s40615-016-0220-5

Dolmage, J. (2017). Universal Design. In Academic Ableism: Disability and Higher Education (pp. 115-152). Ann Arbor: University of Michigan Press. Retrieved June 8, 2020, from www.jstor.org/stable/j.ctvr33d50.7

Taylor, A. & Shallish, L. (2019). The logic of bio-meritocracy in the promotion of higher education equity, Disability & Society, DOI: 10.1080/09687599.2019.1613962

U.S. Department of Education, National Center for Education Statistics. (2019). Digest of Education Statistics, 2017 (2018-070), Chapter 3. Retrieved June 10, 2020 from https://nces.ed.gov/fastfacts/display.asp?id=60

“Man Reading Touchscreen” | Image by Karolina Grabowska from Pixabay

Background

Five years ago, I wrote a small entry in the ORTESOL Newsletter about the then state of “adaptive software capable of teaching, testing, giving feedback, and most importantly, adjusting to student needs” (Chambers, 2015: 13). I mentioned a set of technologies colloquially referred to as the “Digital Aristotle”, or ‘Project Halo’ (Friedland et al., 2004), and the update to this six years later (Gunning et al., 2010). The Digital Aristotle was described as ‘an application that will encompass much of the world’s scientific knowledge and be capable of applying sophisticated problem-solving to answer novel questions’ (Friedland et al., 2004).

At the time, I was writing about a more grandiose piece of software that might one day replace the repetitive tasks of an ESOL classroom. The idea, or perhaps the concern about this technology for existing teachers was where they would fit in once a set of algorithms could replicate much of the day to day learning of a language course.

Five years on, I turn to how learning designers might be able to incorporate AI into course design.

Potential

First, a question: is there currently a program capable of teaching a course and adapting to student needs like an instructor? The answer is still no. Certain technology has, however, progressed to the point that portions of an online course can be enhanced by AI.

Adaptive Learning

Quite possibly the most exciting development in artificial intelligence for learning is that of adaptive learning. This concept has been in the works for a while with certain platforms utilizing algorithms to produce content that adapt to specific learner needs.

Instructure’s Canvas for instance, allows Instructional Designers to set up ‘Differentiated Assignments’ (Canvas Doc Team, How do I view differentiated assignments with different due dates in a course?, 2017) and ‘MasteryPaths’ (Canvas Doc Team, How do I use MasteryPaths in course modules?, 2020) which ‘allows targeted learning activities to be assigned to different users and sections’ (‘MasteryPaths’). Currently this is a manual process with course designers creating every assessment beforehand. The best students might not see the additional activities. It is not ‘intelligent’ in the way that course content is adapted specifically for a learner’s needs and on the fly. To do this requires large amounts of data and most importantly, AI training to see patterns, strengths, and weaknesses for a particular learner.

This is why Duolingo records progress at every step and offers learners a review of concepts the learner struggles with in previous activities. Platforms that provide an automated review often use large question banks and flag questions that learners initially, or continuously incorrectly answer. An intelligent AI could create novel questions based on learner goals, data from prior students, and information about the subject matter. An example of this is Google or Amazon’s ability to predict and offer products or suggestions based on the vast amount of information provided to them every single day. Certain training providers are currently working with application developers to produce tools capable of this on-the-fly feedback and adaptation.

Discussions

At the OLC Innovate 2020 conference, Kasey Gandham from Ed Tech company Paperback and Kim A. Scalzo, Executive Director of Open SUN, demonstrated how Paperback’s AI is being used with online discussions to help students write higher quality posts. As students write their discussion posts, the AI program checks for “close-ended questions, plagiarism, insufficient length, content about class logistics, profanity and abuse’ (Gandham & Scalzo, 2020). After this, if required, the post is moderated and the learner receives email feedback saying why and how to revise their post. The AI is also capable of suggesting posts to feature as the best of the week by analyzing, among other things, sentence depth and ‘curiosity score’.

More than a Quiz

The role and importance of ‘big data’ in online learning cannot be understated. Technology already exists that records the time learners interact with learning materials. It knows where they are clicking/tapping on the screen and how long activities hold learner attention. Using this data, AI could suggest, or even craft assessments that are adapted specifically to a single learner’s usage habits. Traditional quizzes which assess information retention could become only part of the larger formative assessment of the entire course, at every point in the course, without the learner even realizing any of this is happening.

Future

AI-enhanced design has the ability to transform Instructional Designers like never before. It could help us to modify our own design practices based on how learners are responding to course content. Through learner feedback, it could demonstrate which activities are most appealing and conducive to personalized learning goals. Big data’s role in recording learner interactions with content can provide insights into preferred learning styles and methods of instruction. Instructional Designers will have to continue adapting with the technology just as we have done in our everyday lives.

References

Canvas Doc Team. (2017, April 19). How do I view differentiated assignments with different due dates in a course? Retrieved July 02, 2020, from https://community.canvaslms.com/docs/DOC-10036-how-do-i-view-differentiated-assignments-with-different-due-dates-in-a-course

Canvas Doc Team. (2020, April 6). How do I use MasteryPaths in course modules? Retrieved July 02, 2020, from https://community.canvaslms.com/docs/DOC-26231-how-do-i-use-masterypaths-in-course-modules

Chambers, P. (2015, Spring). “Digital Aristotle” and ESL: What does it mean for us?. ORTESOL Quarterly Newsletter, 38(1), P.12-13.

Friedland, N.S. et al. (2004). ‘Project Halo: Towards a Digital Aristotle’, American Association for Artificial Intelligence, 25(4), pp. 29-47. DOI: http:// dx.doi.org/10.1609/aimag.v25i4.1783.

Gandham, K. and Scalzo, K., A. (2020, June). USING AI IN DISCUSSION TO SCALE ACCESS TO QUALITY ONLINE EDUCATION. OLC Innovate 2020, Online Presentation. https://onlinelearningconsortium.org/olc-innovate-2020-session-page/?session=8486

Gunning, D. et al. (2010). ‘Project Halo Update – Progress Toward Digital Aristotle’, Association for the Advancement of Artificial Intelligence, 31(3), pp. 33-58. DOI: http:// dx.doi.org/10.1609/aimag.v31i3.2302.

New online instructors often express concern about the loss of immediate student feedback they get by teaching in person. These educators count on in-class interaction to help shape their lesson plans in real-time. Student questions, lack of interaction, or even blank looks, help them understand what concepts are difficult for their learners. Others just feel more comfortable with the two-way nature of in-classroom communication.

But teaching in an online environment doesn’t have to be mutually exclusive from gauging student interest and comprehension.

Mud Cards

I was first introduced to the concept of “Mud Cards” or “Muddiest Points” through an open course MIT offered in Active Learning in College-Level Science and Engineering Courses. The instructor described handing out index cards to each student at the end of class asking students to write down an answer to one or more of a few prompts (MIT OpenCourseWare, 2015).

In an online course, this could easily take the form of a weekly survey that looked something like this:

What concept from this week did you find confusing?
Is there anything you found particularly compelling?
What would you like to know more about?

Potential Benefits

The answers received have multiple potential benefits. First of all, instructors will get to look for trends in a particular class.

Are learners missing something central to a course learning outcome?
Is there a concept they need additional resources to master prior to an upcoming exam?
What excites them the most?

Getting this information weekly can provide information that is normally gathered during in-class interactions. It may even be more informative, as participation is likely to be higher (or can be incentivized through participation points). This feedback can be used to add content, perhaps through an announcement at the beginning of the next unit, addressing any common problems students reported. It can also help improve the content or activities for the next iteration of the online course.

The second benefit of an activity like this one is that it is an easy way to introduce active learning to your online course. Active learning, with origins in Constructivism, includes the idea that students build knowledge through “doing things and thinking about what they are doing.”

Rather than passively watching narrated slide-based lectures or videos, or completing assigned readings, they are asked to think about what is being taught to them. Each student, by reflecting on questions like the examples above, takes some responsibility for their own mastery of the content.

3-2-1 (a similar tool)

I recently attended the keynote at the Oregon state Ecampus Virtual Faculty Forum by Tracey Tokuhama-Espinosa (Tokuhama-Espinosa, 2020). At the beginning of her presentation, she told all of us we were going to be asked to email her our “3-2-1.” A 3-2-1, she defined as:

Three things that are new to me
Two things so interesting I will continue to research or share with someone else
One thing I will change about my practices based on the information shared today

Even though I was very familiar with the underlying pedagogical practice she was leveraging, I paid significantly more attention than I would have otherwise to an online presentation. I wanted to come up with something helpful to say. To be honest, suffering from COVID related ZOOM fatigue, it also made sense to ensure the hour of my time resulted in something actionable.

A Word of Caution

The use of a tool like the Mud Cards or 3-2-1 will be successful only if used consistently and students see the results of their efforts. If not introduced early and repeated regularly, students won’t develop the habit of consuming content through the lens of reflecting on their own learning. Similarly, students who never see a response to their input, through a summary or additional explanations, will get the message that their feedback is not important and lose the incentive to continue to provide it.

Conclusion

Introducing a reflection activity like those suggested is a simple, quick way to incorporate active learning into a course while simultaneously filling a void instructors sometimes miss through being able to ask questions of their students in a classroom.

Canvas allows for building anonymous graded or ungraded surveys in which a weekly activity like this would be easy to link to in a list of tasks for a unit of study. It is a low development effort on the part of the instructor, and participation from students shouldn’t take more than 5 minutes.

I will link below to some of the resources mentioned that discuss the use and benefits of Mud Cards and active learning in instruction. If you try it out in an online course, I would love to hear how it works for you.

Resources

How Do I Create a Survey in My Course? Canvas LMS Community, 6 Apr. 2020
Hall, S. R., et al. “Adoption of Active Learning in a Lecture-Based Engineering Class.” 32nd Annual Frontiers in Education, vol. 1, IEEE, 2002, pp. T2A-9-T2A-15. DOI.org (Crossref), doi:10.1109/FIE.2002.1157921.
Rankin, Janet. Teaching College-Level Science and Engineering. 2015. ocw.mit.edu.
Tokuhama-Espinosa, T. (2020, May 5). Faculty Forum 2020—Keynote—Never a Better Time to Be an Educator! Ecampus Faculty Forum Special Virtual Event, Oregon State University Ecampus

Rainboots photo by Daiga Ellaby on Unsplash

Lately I’ve heard from a number of faculty whose students have expressed stress or overwhelm at the workload in a course. Further, students as well as faculty have had to adjust to a new routine or pace in their lives in recent months. All of this change gives us a chance to examine the workload and pace of a course so that it is manageable for both students and instructors. To that end, I offer three simple things that faculty can do to make their workload more manageable:

Manage expectations
Post time estimates for each activity
Consider your own availability

Manage expectations

One of the most effective ways to help students understand how much they should plan to do each week in the course is to be explicit and specific about the workload, early in the course. Refer to the credit hour policy to help students understand expectations. At OSU, it is expected that students engage with course materials and activities for 3 hours per week for every credit hour. So for a 3-credit course, students should expect to work about 9 hours each week on reading, studying, assignments, discussion boards, and other activities. This information is generally listed in the syllabus, but it’s nice to highlight this in an announcement early in the course, or perhaps even in an intro video or weekly overview video. Being explicit early in the course sets expectations for everyone, builds trust, and cuts down on negative emotions from students who feel there is too much (or not enough) in a course.

Post time estimates for each activity

One complaint that students occasionally have is that there is an uneven workload from week to week. One way to address this is to post estimated times for each activity for the week. This could appear in a task list on a weekly overview page, for example. This helps in several ways. First, it helps students who struggle to manage their time effectively. If they know that the assignment takes about 2 hours to complete, they can plan for that chunk of time in their week. Moreover, perhaps there are six readings posted in one week, but each reading is only about 5-10 minutes long. Posting this helps students understand that there are a number of short readings this week. That way students don’t assume each reading takes too long and decide to skip some of them. Moreover, being explicit about time estimates helps students know that you are sticking with the credit hour policy as well, which is another way to build trust.
If you find that the tasks you’ve outlined exceed the credit hour policy, let your learning objectives for the course guide your decisions for what to keep and what to cut.

Consider your own availability

Lastly, consider your own availability. Be explicit with students about when you are available so that you can be sure to carve out time to recharge your batteries. For example, if you like to have a bit of time to relax on the weekends, you might have your weekly assignments due on Monday of the following week for each module, rather than Sunday. That way, if students have questions about an assignment that they are wrapping up over the weekend, you still have Monday morning to get back to them instead of scrambling to answer multiple emails on Sunday evening.

In part one of Academic Success, we reviewed why it is important to help students develop time management skills and how to design courses that help students manage time. In this post, we will discuss the why, what and how about teaching students how to learn.

By this time, most public schools and higher education institutions are coming to a close for Spring 2020 teaching. Congratulations on overcoming so many challenges and finishing teaching during COVID-19! As we prepare for summer and/or fall teaching, I would like to invite instructors to consider teaching students how to learn in your next teaching adventure, in order to help students achieve academic success.

Why Teach Students How to Learn?

For teachers, teaching students how to learn enables them to facilitate dramatic improvements in student learning and success (McGuire & McGuire, 2015).

For students, metacognition helps them to become self-aware problem solvers and take control of their own learning, through taking stock of what they already know, what they need to work on, and how best to approach learning new material (The Learning Center at UNC Chapel Hill, n.d.).

Teaching students how to learn also aligns tightly with the neuroscience of how humans learn. Dr. Daniela Kaufer pointed out four key learning principles based on the neuroscience of how people learn: (1). Learning involves changing the brain; (2). Moderate stress is beneficial for learning, while mild and extreme stress are detrimental to learning; (3). Adequate sleep, nutrition, and exercise encourage robust learning; and (4). Active learning takes advantage of processes that stimulate multiple connections in the brain and promote memory (Kaufer, 2011).

What to Include in “Teach Students How to Learn”?

Now we have seen why it is important to teach students how to learn from the perspectives of teachers, students and neuroscience, it is time to look into the content of a “Teaching Students How to Learn” training module. Dr. Saundra McGuire suggests getting students’ buy-in as a first step, through early diagnostic assessment which can be used to find out what students already know and what they did not know. Past examples of dramatic increase in assessment performance after receiving “Teaching Students How to Learn” training can also be an effective way to gain students’ buy-in. Secondly, Dr. McGuire suggests teaching students Bloom’s Taxonomy and study cycle to help students self-evaluate what they are learning and where to focus their learning at (the higher levels of learning, such as the applying, analyzing, evaluating and creating). The Study Cycle includes preview, attend, review, study and assess (Cook, Kennedy & McGuire, 2013). Thirdly, Dr. McGuire suggests sharing metacognitive learning strategies with students. The Learning Center at University of North Carolina at Chapel Hill lists eleven specific strategies that students can use to enhance their learning: (1) use your syllabus as a roadmap; (2) summon your prior knowledge; (3) think aloud; (4) ask yourself questions; (5) use writing; (6) organize your thoughts using concept maps or graphic organizers; (7) take notes from memory; (8) review your exams using test analyzer tool; (9) pause and ask yourself why you are doing what you are doing and how what you’re doing relates to the course as a whole and to the learning objectives that your professor has set; (10) test yourself; and (11) figure out how you learn and what learning strategies work best for you.

How: Implementing “Teach Students How to Learn” in Online Course Design

There are many ways teachers and instructional designers can build activities and structures in course design to teach students how to learn. The following list is a starting point:

Provide specific, measurable, attainable, result-focused and time-focused objectives at both course level and module level, and ask students how these objectives connect to their own learning interests and objectives, for example, using an ungraded survey/poll/private check in at the start of the term.
Provide opportunities for students to reflect on prior knowledge they bring to the target topic/course
Provide a list of questions to guide students for targeted reading and better reading comprehension as an active reading strategy, when assigning required readings materials.
Provide questions in video lectures to help students check their understanding and keep students engaged;
Release answer sheet to homework assignments after submission expires and provide opportunity for students to compare what they did right or wrong and how to get it right if they did it wrong initially, to achieve mastery learning;
Provide opportunities for peer review and instructor feedback and make it possible for students to resubmit edited versions based on feedback received for mastery learning;
Allow multiple attempts for assignments and assessments for mastery learning;
Provide opportunities for students to reflect around midterm what learning strategies they use, whether they are effective or not, and how to adjust for better results in the reminding time of the course.
Provide opportunities for students to reflect near the end of the term on what they learned and how they have learned, and how they might use the learning in their lives. For example, using discussion forum, google form survey, quiz or assignment to collect students’ reflective feedback.

The list can go endless. The point is there are many opportunities for teachers and instructional designers to build elements in course design to teach students how to learn! Feel free to share your ideas or experience of teaching students how to learn with us.

References

Cook, E., Kennedy, E., and McGuire, S.Y. (2013). Effect of Teaching metacognitive learning strategies on performance in General Chemistry Courses. Journal of Chemical Education, 2013, 90, 961-967.

Kaufer, D. (2011). Neuroscience and how students learn. University of California Berkeley Graduate Student Instructor Teaching & Resource Center. Retrieved from https://gsi.berkeley.edu/gsi-guide-contents/learning-theory-research/neuroscience/

McGuire, S. Y., and McGuire, S. (2015). Teach Students How to Learn : Strategies You Can Incorporate into Any Course to Improve Student Metacognition, Study Skills, and Motivation. First ed. Sterling, Virginia: Stylus, LLC.

The Learning Center, University of North Carolina at Chapel Hill. (n.d.). Metacognitive Study Strategies. Retrieved from https://learningcenter.unc.edu/tips-and-tools/metacognitive-study-strategies/

Resources on Neuroeducation

Adolphs, R. (2009). The social brain: neural basis of social knowledge. Annual Review Psychology. 2009; 60: 693-716.
Bransford, John., and National Research Council . Committee on Developments in the Science of Learning. How People Learn : Brain, Mind, Experience, and School. Expanded ed. Washington, D.C.: National Academy, 2000. Print.
CAST (2018). UDL and the learning brain. Wakefield, MA: Author. Retrieved from http://www.cast.org/our-work/publications/2018/udl-learning-brain-neuroscience.html
Doyle, Terry, and Zakrajsek, Todd. The New Science of Learning How to Learn in Harmony with Your Brain. Second ed. Sterling, Virginia: Stylus, LLC, 2019. Web.
Eyler, J. (2018). How humans learn : The science and stories behind effective college teaching(First ed.), Teaching and learning in higher education (West Virginia University Press)). Morgantown: West Virginia University Press.
Kaufer, D. (2011). Neuroscience and How Students Learn. Berkeley Graduate Student Instructor Center’s How Students Learn Series talk in Spring 2011. Retrieved from https://gsi.berkeley.edu/gsi-guide-contents/learning-theory-research/neuroscience/
McLagan, Pat. “Unleashing the Unstoppable Learner.” Talent Development7 (2017): 44-49. Web. https://www.td.org/newsletters/atd-links/being-a-lifelong-learner
Perkins, D. N., Goodrich, H. , Tishman, S. & Owen, J. M.(1994). Thinking Connections : Learning to Think and Thinking to Learn. Menlo Park, Calif.: Addison Wesley, 1994. Print.
Schwartz, Daniel L., Tsang, Jessica M., and Blair, Kristen P. The ABCs of How We Learn : 26 Scientifically Proven Approaches, How They Work, and When to Use Them. First ed. New York, NY: W.W. Norton &, 2016. Print. Norton Books in Education.
Südhof, T.C. (2013). Neurotransmitter release: the last millisecond in the life of a synaptic vesicle. Neuron. 2013 Oct 30;80(3):675-90. doi: 10.1016/j.neuron.2013.10.022.
Tokuhama-Espinosa, Tracey (2011). Mind, Brain, and Education Science: A Comprehensive Guide to the New Brain-Based Teaching.New York: W. W. Norton.
Ware, D. (2013). Neurons that fire together wire together. Retrieved from https://www.dailyshoring.com/neurons-that-fire-together-wire-together/

A student persona is a summary of a specific type of student. This persona represents archetypes NOT stereotypes of a broader student segment or group. A student persona summarizes who the student users are and why they are using the learning system, as well as what behaviors, assumptions, and expectations determine their view of the learning system.

Why Create Student Personas?

There are many reasons why instructors and instructional designers and developers create and use student personas, such as:

To represent the major needs of the key student user groups.
To provide a reliable and accurate representation of your targeted student audience.
To enable you to focus on a manageable and memorable group of students.
To help you create different designs for different kinds of students and to tailor the design to meet the needs of the most important student user groups.
To inform on the functionality of the learning system, uncover gaps in instructional design and development, or highlight new ways to deliver learning.

What Makes Up a Student Persona?

Like all personas, student personas generally include several key pieces of information, which are outlined on usability.gov

Here is an example of a student persona that I created for an online Intro to Permaculture MOOC that includes the essential elements of a persona.

Student Persona Example Description of the user research conducted to create the student persona:

Student user research was conducted through an online Welcome survey that was embedded in the online course. As in all persona creations, user research should be conducted and the collected data should be used in order to ensure accurate representations of your users. Student user research can be conducted online or face-to-face through student surveys, interviews, or observations.

Student Persona Example (Enlarged View)

How Are Student Personas Used?

More than one student persona (3-5 student personas) should be used for an instructional development project from the analysis phase to the design, development, implementation and evaluation. As such, these student personas can be used in numerous ways.

Smashing Magazine, A Closer Look at Personas – What They Are and How They Work, discusses some of the general uses of personas:

Build empathy
Develop focus
Communicate and form consensus
Make and defend decisions
Measure effectiveness

Resources

While there is no one way to create and use a persona, there are plenty of examples, free templates, and instructional videos and readings available to help you get started to create personas of the students that you serve and to use them in your instructional developments. These resources are available through the following links.

Examples

Tobi Day
Rita

Templates

Fake Crow Free Persona Template
Persona Core Poster Template | PDF

Video

How to Create UX Personas (3:01)
(Note: This video talks about service design for customers, but for student personas, you will want to keep in mind that the students and learners are the customers)

Readings

Personas by usability.gov
A Closer Look at Personas – What They Are and How They Work by Smashing Magazine

This is a re-publish of a prior blog post that is quite popular and we wanted to bring it to the top of the blog again. Thank you to our original author: Rebecca Pietrowski

Connecting with our students is essential, but how do we do it? Well, I guess it depends on what you mean by connected. Zoom works to see one another on a screen, you can attend activities on campus and possibly see some of your students, or we can take a deeper look into what connected means. When I think of education, connecting could be students to each other, students to the material, the material to real life, you to the student, etc. I’ll focus on the last one here: You to the student.

Think back to a time when you were in school and you had a “favorite” teacher or professor. What was it about them that made them your favorite? Did they open up their classroom at lunch to play cards with students? Did they give you a “good luck” note for a sporting event? Maybe they came to your choir concert, attended a theater production you were in, or maybe they made themselves available in a time of need. Whatever it is, that’s what connects you. What made them your favorite is because of the connection that you formed.

Effective connection is:

Being available
Caring (and showing it)
Treating the student with respect
Being a trustworthy confidant
Showing belief in students
Acting warm and welcoming
Showing compassion
Being on the student’s side
Exuding love for teaching
Showing true interest in students
Being a great listener
Accepting every student

For me, there were lots of teachers I liked and many I’d say were “favorites” but looking back, one made that huge impression and connection. How? By giving me a cut up straw on a string. Yes, you read that correctly, a cut up straw on a string. That teacher listened to what I was saying when she asked a question about how a track meet went. If it was not so good of a meet, I’d reply “I sucked from a big straw.” When it came time for an important meet that year, I got a good luck card with a straw I couldn’t suck from. That was over 20 years ago and I still have that cut up straw. Now that’s a connection!

Connection Do’s and Don’ts.

Be available
Care (for real!)
Treat students with respect
Be a trustworthy confidant
Show belief in students
Be warm and welcoming
Show compassion
Be on the student’s side
Exude love for teaching
Show true interest in students
Be a great listener
Demonstrate acceptance

DON’T

Try too hard to be liked
Gossip about students
Fail to set boundaries
Fail to set high expectations
Be unable to say no
Be sarcastic
Pamper students
Fail to follow through
Pretend to care

Run through the lists and think of a way you can make the do’s happen and ways you can keep the don’ts from happening. Was there a specific example from your examples that really stood out? Use that to help guide you in the other examples. Perhaps you remember a time where you failed to set high expectations, what happened? Reflect on why you thought you had (or know you didn’t) and what you’d like to do differently next time.

Want to know more? Read “You’ve Gotta Connect: Building Relationships That Lead to Engaged Students, Productive Classrooms, and Higher Achievement” by James Alan Sturtevant, 2014

I am writing this blog post on Monday morning, June 1st, 2020. Throughout this past weekend across the country, protests erupted following the death of George Floyd who died while pinned down by a Minneapolis police officer. Social media platforms and news outlets are flooded with tweets, videos, blog posts, hashtags, and images describing the chaos, anger, and destruction. (All of this has happened while the country is still reacting to and absorbing the economic, emotional, and physical health impacts of the COVID-19 outbreak).

What I most want this morning is the ability to turn to someone I trust with the education, perspective, and insight to help me think about the incredibly complex issues that erupted over the weekend:

While I’m troubled by the looting, vandalism, and destruction of property I have been watching on the news, I am more troubled by the fact that minorities fear their lives when interacting with law enforcement. Where can I read different perspectives on this issue?
What lessons can I teach my children about this moment and how to combat systemic racism?
What authors might I read to understand the experience of being black in America right now? How about the history in our country that led to this moment?
What needs to be done to make this a turning point for our country?

Fostering Information Literacy through Content Curation

The ability to research complex problems from multiple perspectives should be a fundamental goal of education. By guiding students through this process, we can help them become well-informed citizens, better parents, and more empathetic human beings. Developing these skills, however, depends on having access to the most relevant and informative resources.

College instructors, as experts in their fields, are in a unique position to provide learners with vetted collections of content. They can not only point students to resources they might not have discovered on their own, but can also provide context, share their point of view, and point out relationships between found materials. All of this will help make the content more meaningful for learners.

For the past several years, educators have started to recognize the value that they can provide to their students by sharing collections of reliably sourced content around a learning topic.

The keynote speaker at the Oregon State Ecampus Virtual Faculty Forum this year, Tracey Tokuhama-Espinosa, spoke about the use of mini-libraries (which she calls “Bundles”) in her courses. Tracey is a neuroscientist and professor with Harvard University Extension School. The Bundles she uses are curated lists of hyperlinked articles, videos, podcasts for each topic that help ensure students are allowed entry points to the same subject from their individual starting point. Tracey uses analytics to see how much time students are spending on the bundles which informs the course and bundle design for future iterations. She also uses them to differentiate homework for cross-listed courses with both graduate and undergraduate students (Tokuhama-Espinosa, 2020).

Online students, like most of us, are continuously dealing with information overload. My Google search for “systematic racism” returned 16,800,000 results in 0.34 seconds. How am I supposed to process close to 17 million results, particularly without prior knowledge of thought leaders and reliable sources in this field?

Students face these same research challenges. The time it takes to go through millions of returned search results looking for something useful and relevant. Time that could be better spent on an in-depth review and analysis of instructor vetted materials.

By providing a narrowed list of references instructors are also helping contribute to students’ information literacy. It is possible to model, through the selection and provided context, what makes a particular source credible. Is it the author? The fact that it comes from a peer-reviewed publication? The way an author sites their sources or the citations this particular content has received? Use this opportunity to support student’s development of their own “crap detector.” (Rheingold, 2009)

What is the Process?

There is more to curation than sharing lists of articles and videos. As the curator, an instructor is adding value through the organization and maintenance of the collection along with the context provided to the collected materials. Here’s a suggested process for instructors gathering curated collections of content for learners:

Identify Themes – Find a topic for which you wish to create a collection of materials. Name this collection and add it to your course in a way that is easy to modify.
Select Sources – Consider where you are going to search for content. You may already have several saved resources around the topics you teach. Can you supplement with scholarly journals you read regularly or blogs you follow? Who are the thought leaders in your field? Who do they follow?
Establish Filtering Criteria – What types of materials won’t you include? What is the learning objective that aligns with this particular collection and how should that inform what material you include?
Organize the Content You Have Selected – Should material be accessed in a particular order? Is there guidance you can provide based on the starting point of your learners? Are there natural sub-topics or patterns?
Provide Context – Why did you select a particular piece? Does it contradict the information in other sources? What key questions should learners be able to answer after consuming the content? How does this piece fit into this collection’s larger theme? Are there emerging patterns? How does it fit in a historical context?
Build a Linked List to the Selected Materials and Provide Attribution – Curation, while benefiting from the organization, context, and insight of the curator is only achieved through the sharing of work from others whose efforts should be recognized.
Create Learning Activities Around the Collected Content – Given the learning outcomes associated with this particular topic or theme, what do you want students to do with the information they acquire going through the content? Are they going to discuss it with their peers? Use it as a basis for a position paper or as research for a project? Maybe you want them to create their own curated collections based on this example, or contribute to yours.
Regularly Update Your List – Review your collections for broken links, outdated content, and supplement with new content. Look for other ways to refine your collection around current news events or new research.

Through effective content curation and inclusion of topic-based “mini-libraries” within their courses, instructors can become a guide for their learners. Instructors will expose students to new ideas and help them quickly access information that has already been reviewed for credibility. By doing so, instructors have the opportunity to model – in an academic setting – what we so desperately need in our personal lives as well: how to grapple with difficult issues from multiple perspectives while sharpening our information literacy skills.

For further reading, you may wish to review the curated Anti-Racist Reading List from Ibram X. Kendi published by the Chicago Public Library (Kendi, 2019)

Postscript: After writing the first draft of this blog post, I found a credible source on Twitter addressing the question, How to Make this Moment the Turning Point for Real Change (Obama, 2020).

References

Kendi, I. X. (2019, February 12). Anti-Racist Reading List from Ibram X. Kendi—Chicago Public Library. BiblioCommons. https://chipublib.bibliocommons.com/list/share/204842963/1357692923

Obama, B. (2020, June 1). How to Make this Moment the Turning Point for Real Change. Medium. https://medium.com/@BarackObama/how-to-make-this-moment-the-turning-point-for-real-change-9fa209806067

Rheingold, H. (2009, June 30). Crap Detection 101. City Brights: Howard Rheingold. https://blog.sfgate.com/rheingold/2009/06/30/crap-detection-101/

Tokuhama-Espinosa, T. (2020, May 5). Faculty Forum 2020—Keynote—Never a Better Time to Be an Educator! Ecampus Faculty Forum Special Virtual Event, Oregon State University Ecampus. https://ecampus.oregonstate.edu/faculty/forum/

Special thanks to OSU Ecampus Assistant Director of Instructional Design Laurie Kirkner for her insightful peer review comments and wording suggestions on this blog post.

The Ecampus multimedia team researches emerging tools, and works with our sibling team of Instructional Designers to help support instructors. So lets take a moment to peek at tools we all might be using in the coming years for communicating with teammates from a distance.

Multimedia developers primarily use a paid tier of Slack (for instant messaging), Outlook (for email), and Zoom (for meetings with live video or audio). While we play around with many other emerging tools, I believe we’re using the same basic trio as most everyone else. Just wanted to be clear that I don’t have a revolutionary new secret tool in my back pocket which you must start using today. We’re all in the same basic boat at the moment.

CDT shares files through a variety of different online services. Documents are usually shared through Box, with Google Drive as a backup. Videos usually end up on Kaltura through OSU’s MediaSpace, but works in progress start out on Frame.io to leverage some handy features for time stamped feedback. We manage our team’s projects through Asana, and store final deliverable files with a wrap-up note in a private internal database tool (that our team created and maintains). So those are handful of tools that might be mentioned when working with us. You may have already been sent a Box folder to upload files into, or a frame.io link to comment on a video.

As we all settled into home office work back in March, there was an interest in new tools for social interaction. I was particularly interested in applications that were connecting Virtual Reality users with phone and desktop users. Mozilla, the creators of the Firefox browser, are quietly building up Hubs, which strikes me as the most promising tool in this space. It’s free, easy to learn, and offers a ton of excellent functionality. Stop by the experimental space I set up for my team. It features a 3D model imported from our sketchfab account, and a video from our YouTube account.

One of the developers of Hubs recently laid out the secret plan for this tool: to build up a persistent global 3D network to rival the world wide web. Exciting stuff for all you fans of the scifi metaverse, and the freedom of early web pages.

There are other interesting tools bubbling around at the moment in the VR space. Facebook is letting anyone sign up for the beta of a shared social universe for Oculus VR users called “horizon.” Microsoft acquired AltspaceVR, which mixes VR users with desktop users and has already hosted multiple conferences during the quarantine. If you’ve invested in a VR headset, it might be worth checking out the bustling communities in VR chat or Rec Room. The makers of Second Life tried out 2 approaches to VR (Sansar and High Fidelity), but recently changed course. My team is currently trying to schedule a time to try out Sketchbox in different VR headsets. I stumbled across “Somnium Space” while writing this blog post. It’s kind of crazy how many things are being developed, but… aren’t quite ready for mass consumption just yet.

There is a cognitive load problem with all the new tools bubbling up in these cauldrons around the world and begging for attention. While Mozilla Hubs is my favorite, it does take a few minutes to go through it’s tutorial and learn what all you can do. These days that’s a lot to ask of people who just seek the simplicity of walking into a room to meaningfully interact with other humans in a natural way. More and more I’m nervous about suggesting new tools to colleagues, because I know they’re already dealing with a lot. And I see a lot of folks casually making a notable pile of work for others without seeming to notice the strain. As a designer, I enjoy walking through a new tool, and once I determine it’ll be useful for others it is hard to appreciate how exhausting it might also be for them. I think the key mistake is to require others learn a tool before they can get back to whatever task they set out to do in the first place. Hopefully we can find ways to design simpler tools, and to help people enjoy learning useful new third party tools. Wait until you’re ready to jump into the ones I’m mentioning here, and take it easy on your coworkers.

Suggestions? Want to meet up and talk about this further, perhaps inside one of the tools mentioned above? Please just leave a comment, or send us an email – we’d love to hang out with you and explore what the world is cooking up!

Dealing with Failure

Succeeding from Failure

Reflecting on Failure

Introduction to Intersectionality

Disability in Higher Ed

Universal Design for Learning

References

Background

Potential

Adaptive Learning

Discussions

More than a Quiz

Future

References

Mud Cards

Potential Benefits

3-2-1 (a similar tool)

A Word of Caution

Conclusion

Resources

Manage expectations

Post time estimates for each activity

Consider your own availability

Why Teach Students How to Learn?

What to Include in “Teach Students How to Learn”?

How: Implementing “Teach Students How to Learn” in Online Course Design

References

Resources on Neuroeducation

Why Create Student Personas?

What Makes Up a Student Persona?

How Are Student Personas Used?

Resources

Examples

Templates

Video

Readings

Fostering Information Literacy through Content Curation

What is the Process?

References

Contact Info