Pandemic Metacognition: Distance Learning in a Crisis

By Jennifer A. McCabe, Ph.D., Center for Psychology, Goucher College

The college “classroom” certainly looks different these days. Due to campus closures in the wake of the COVID-19 pandemic, we no longer travel to a common space to learn together in physical proximity. Though most of us have transitioned to online instruction, there was insufficient time to prepare for this new model – instead, we are in the midst of “emergency distance learning,” with significant implications for teacher and student metacognition.

image of person at computer under emergency red light

New Demands for Self-regulation

Now that certain overt motivators are no longer present, self-regulated learning is more critical than ever (e.g., Sperling et al., 2004; Wolters, 2003). Students are no longer required to hand in work during class, to engage in in-person class discussions about learned material, or to come face-to-face with instructors who know whether students are keeping up with the course. Instead they must figure out how to engage in the work of learning (and to know it is, indeed, still supposed to be work), away from the nearby guidance of instructors, other on-campus support sources, and peers. What are the effects of isolation on student metacognition? We can only find out as the situation evolves, and it will surely prove to be a complex picture. Though some will continue to succeed and even find new sources of motivation and revised strategies during this unusual time, others may experience a decline in metacognitive accuracy in the absence of typically available sources of explicit and implicit feedback on learning.

What metacognitive and motivational challenges face students who began the semester in a traditional in-person classroom, and now log in to a device to “go to class?” When I invited my (now online) students to report their experiences in preparing for our first web-based exam, many reported that the learning strategies themselves do not feel different as implemented at home, but that they are especially struggling with motivation and time management. Though these are common issues for college students even in the best of (face-to-face) circumstances, it seems they may be magnified by the current situation. For example, distractions look very different at home. Even if students already had figured out a system to manage distractions, and to channel their motivation to find focused time to implement effective learning strategies, this campus-based skill set may not translate to their current settings. Students need to recognize barriers to learning in this new context, and should be supported in developing (perhaps new or at least tweaked) strategies for academic success.

Regarding time management, online course deadlines may be timed differently – perhaps more flexibly or perhaps not – on different days of the week (instead of in a class meeting), late at night (or early in the morning), or over the weekend. Students must strategically allocate their time in a manner different from traditional classroom learning. This is compounded by the fact that some courses meet synchronously, some are completely asynchronous, and some are a hybrid. Managing this new schedule requires the metacognitive skill of recognizing how long different types of learning will take, applying the appropriate strategies, and – oh yes – fitting all that in with other non-academic demands that may change day to day. Planning is especially challenging – and anxiety-provoking – with so much unknown about the future.

Stretched Too Thin to Think Well

Looming over the learning, we cannot forget, is the actual threat of the virus, and the myriad ways it is impacting students’ mental and physical health. In my cognition classes, we discuss the implications of cognitive load, or the amount of our limited attentional resources (and therefore working memory capacity) being used for various tasks in a given moment; this current load determines how much is left over for tasks central to learning and performance goals (e.g., Pass et al., 2003). If working memory is consumed with concerns about one’s own health or the health of loved ones, financial concerns, caregiving needs, food availability, or even basic safety, it is no surprise that the ability to focus on coursework would be compromised. Intrusive worries or negative thoughts may be particularly troublesome right now, and again leave fewer resources available for learning new information. Instructors may want to consider evidence-based educational interventions – such as writing about worries to manage anxiety – that have been effective in clearing ‘space’ in mental load for learning tasks (Ramirez & Beilock, 2011).

Most importantly, we all need to understand (and accept) the limitations of our cognitive system, the implications of having limited attentional resources, and how to most effectively manage this shifting load. To better support students in metacognitive awareness, instructors across disciplines can incorporate information about cognitive load management and self-regulated learning strategies as part of their courses.

Teachers should also think carefully about the line between desirable difficulties – those learning conditions that are challenging, slow, and error-prone, but lead to stronger long-term retention – and undesirable difficulties – those challenges that are simply hard but do not result in better learning (e.g., Yan et al., 2017). When faced with a choice to add work or effort, consider whether it is part of the learning that relates to the core learning outcomes for the class. If it does not, given the current uniquely high-load circumstances we find ourselves in, drop it.

Further, be explicit and transparent with students about why assignments were retained or changed (ideally connecting these to those core objectives), and share with them your thought process about course-related design and assessment decisions. Most of all, communicate early and often with students about expectations and assessments to help them with motivation, scheduling, and cognitive load. Acknowledge that this is a highly atypical situation, show compassion, allow flexibility as you can, and let them know we are all learning together.

Imperative Explicitness

Metacognition in the time of COVID-19 must be even more intentionally brought from the implicit “hidden curriculum” of college to the explicit. Factors important to student metacognition, including self-regulated learning, should be named as a skill set central to academic (and life) success. Help them better understand their own learning and memory processes, and how strategies may need to evolve in changing circumstances, which for now means “emergency distance learning.” Perhaps a silver lining is that this investment in metacognitive flexibility will pay off in supporting students’ future endeavors. For teachers, this unexpected transition just might help us improve our student-centered approaches – wherever our classrooms may exist in the future.

Suggested References

Pass, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1-4. https://doi.org/10.1207/S15326985EP3801_1

Ramirez, G., & Beilock, S. L. (2011). Writing about testing worries boosts exam performance in the classroom. Science, 331(6014), 211-213. https://doi.org/ 10.1126/science.1199427

Sperling, R. A., Howard, B. C., Staley, R., & DuBois, N. (2004). Metacognition and self-regulated learning constructs. Educational Research and Evaluation, 10(2), 117–139. doi:10.1076/edre.10.2.117.27905

Wolters, C. A. (2003). Regulation of motivation: Evaluating an underemphasized aspect of self-regulated learning. Educational Psychologist, 38(4), 189–205. doi:10.1207/S15326985EP3804_1

Yan, V. X., Clark, C. M., & Bjork, R. A. (2017). Memory and metamemory considerations in the instruction of human beings revisited: Implications for optimizing online learning. In J. C. Horvath, J. Lodge, & J. A. C. Hattie (Eds.), From the Laboratory to the Classroom: Translating the Learning Sciences for Teachers (pp. 61-78). Routledge.


Wrapping up Metacognition: Pre- and Post-Exam Interventions

By Jennifer A. McCabe, Ph.D., Goucher College

Multiple studies have demonstrated that college students report using less-than-optimal learning strategies when preparing for exams. Without explicit instruction on effective techniques, along with guidance on how to engage in metacognitive monitoring and evaluation of their learning processes, it is not clear how this situation will improve. One of the many ways in which this goal could be achieved is through a specific technique called “exam wrappers.”

"Wrap it up" slogan

An exam wrapper (also known as a “cognitive wrapper”; Bowen, 2017) is a brief activity in which students complete a form to assess their recent exam performance, describe and reflect on how they prepared, and make a strategic plan for future improvement. This would typically be given to students upon receiving exam grades, with the goal to shift the focus from course content and exam outcome (grade) to the learning process itself. Since being introduced by Marsha Lovett in 2013, educators have been encouraged to use this tool to improve student metacognition and, ultimately, performance on exams and assignments.

There is surprisingly little well-controlled research on exam wrappers, and the several studies that have evaluated their impact are lacking in statistical power, internal validity, and/or generalizability. Raechel Soicher and Regan Gurung note this issue at the start of their 2017 article in which they report the results of an exam-wrapper intervention in introductory psychology. They compared an exam wrapper (modeled on Lovett, 2013) to both a “sham wrapper” condition in which students evaluate their incorrect answers and connect each to a relevant course topic, and also to a true control condition in which students simply reviewed their exams without explicit instruction. Results showed no differences among conditions in final grades (even when controlling for pre-intervention metacognition scores), nor on any of the exams, nor on metacognition subscale scores. The authors suggest that exam wrappers may be more successful when used across multiple classes, and that it may also help to make them more interesting and engaging for students. As I suggest below, perhaps having students complete the exam wrappers in the context of having learned about effective study strategies would also improve the benefit of implementing them after exams.

Another recent study, published in 2017 by Patricia Chen and colleagues, reported on outcomes from an exam-wrapper-type of activity called a “Strategic Resource Use” (SRU) intervention. Students in an introductory statistics course were randomly assigned to the SRU intervention or to a control condition that experienced many parts of the activity except for the focused metacognitive components. Importantly, this approach differs from that of traditional exam wrappers in that (1) it was self-administered and fully online; and, more importantly (2) there were both pre- and post-exam components. In the 7-10 days prior to taking the exam, all students completed an online survey in which they reported their predicted exam grade, motivation level, importance of achieving that grade, and confidence in reaching their performance goal. Those in the SRU condition also answered questions about the upcoming exam format, the types of resources available to them during preparation time, why each would be useful, and their plan for using each one. From a checklist of class resources, SRU students provided elaborated answers on usefulness and strategic planning. After the exam, students reported on which they had used, level of perceived usefulness, and how much self-reflection they had engaged in with regard to learning course material. Results showed that in comparison to the control condition, SRU students had higher course grades (about 1/3 of a letter grade), lower self-reports of negative affect toward exams, and higher perceived control over exam performance.

It is interesting that Chen and colleagues do not make the connection to the exam wrapper idea or literature. Both interventions described above have similar implementation and goals surrounding exams – to improve undergraduates’ self-regulated learning by focusing their attention on how they currently learn, how the quality and/or quantity of preparation map on to exam performance, and how they can use various strategies to improve for next time. Both interventions are based on the idea that highlighting the essential metacognitive processes of reflecting and adjusting supports student learning.

What to do with this mixed evidence and varying models for implementing this metacognitive “wrapper” tool? I have personally been using post-exam wrappers (modeled on Lovett) in my Cognitive Psychology course for several years. Though I have not collected empirical data on their effectiveness, based on student comments and my own observations I believe they help and plan to continue to use them. After considering Soicher and Gurung’s methods and results, I think that my implementation may be especially poised for single-course success because, unlike in the two studies discussed above, my exam wrappers are administered on the heels of learning about and engaging in practice with evidence-based learning strategies such as elaboration and frequent, effortful, and distributed (spaced) retrieval practice.

In addition to incorporating these elements into my course structure to provide students with multiple tools for durable learning, they also read the book “Make It Stick” (Brown, Roediger, and McDermott, 2014) early in the semester and engage in writing and peer discussion about effective ways to learn as described in my 2017 blog post Make It Stick in Cognitive Psychology. Thus, when my students complete the post-exam wrapper by reporting strategies they used, and those they will try to increase for future exams, they are doing so in a context of this metacognitive knowledge and accompanying motivation to learn. I am planning to add a pre-exam wrapper component, similar to the SRU model, the next time I teach this course, and given Chen et al.’s promising results, I hope it will even further support my students’ metacognitive development, learning, and, yes, course performance.

I explicitly communicate my perspective on exams to students, early and often: tests are learning events. By incorporating exam wrappers, I am reinforcing this message, and my students see that I care about their learning and my genuinely want them to improve. This also connects to a chapter in “Make It Stick” on the benefits of having what Carol Dweck calls a growth mindset – believing that intelligence is malleable and can be enhanced through practice and strategic effort. I encourage my students to adopt this mindset in multiple ways, and one way I can explicitly support this is to provide opportunities to learn from their experiences, including course exams.

Suggested References

Bowen, J. A. (2017). Teaching naked techniques: A practical guide to designing better classes. San Francisco, CA: Jossey-Bass.

Brown, P. C., Roediger, H. L., & McDaniel, M. A. (2014). Make it stick: The science of successful learning. Cambridge, Massachusetts: The Belknap Press of Harvard University.

Chen, P., Chavez, O., Ong, D. C., & Gunderson, B. (2017). Strategic resource use for learning: A self-administered intervention that guides self-reflection on effective resource use enhanced academic performance. Psychological Science, 28(6), 774-785. https://doi.org/10.1177/0956797617696456

Lovett, M. C. (2013). Make exams worth more than the grade: Using exam wrappers to promote metacognition. In M. Kaplan, N. Silver, D. LaVauge-

Manty & D. Meizlish (Eds.), Using reflection and metacognition to improve student learning: Across the disciplines, across the academy (pp. 18-52).  

Soicher, R. N., & Gurung, R. A. R. (2017). Do exam wrappers increase metacognition and performance? A single course intervention. Psychology Learning & Teaching, 16(1), 64-73. https://doi.org/10.1177/1475725716661872


Metacognition at Goucher II: Training for Q-Tutors

by Dr. Justine Chasmar & Dr. Jennifer McCabe; Goucher College

In the first post of this series, we described various implementations of Goucher College’s metacognition-focused model called the “New 3Rs”: Relationships, Resilience, and Reflection. Here we focus on how elements of metacognition have driven the training of tutors in Goucher’s Quantitative Reasoning (QR) Center.

image from https://www.goucher.edu/explore/ (faculty and student giving a high five)

The QR Center was established in the fall of 2017 to support the development of numeracy in our students and also specifically to bolster our new data analytics general education requirement (part of the Goucher Commons Curriculum, described in depth in our first article). The QR Center started at a time of transition as Goucher shifted from a one-course quantitative reasoning requirement to a set of two required courses: foundational data analytics and data analytics within a discipline. The QR Center mission is to help students with quantitative skill and content development across all disciplines, with a focus on promoting quantitative literacy. To foster these skills, the QR Center offers programming such as appointment-based tutoring, drop-in tutoring, workshops, and academic consultations, with peers (called Q-tutors) as the primary medium of support.

Metacognition is a guiding principle for the QR Center – especially reflection and self-regulated learning. This theme is woven through each piece of QR Center programming, from a newly-developed tutor training course to the focus on academic skill-building at tutoring sessions.

To support the professional development and training of the Q-tutors, the director (co-author of this blog, Dr. Justine Chasmar) created a one-credit course required for all students new to the position. This course combines education, mathematics, quantitative reasoning, and data analytics, and focuses on the intersection of teaching pedagogy within each realm. Because it is primarily set within the context of quantitative content, this course is more focused, and inherently more meaningful, than traditional tutor training. The course is also unique in combining practical exercises with metacognitive reflection. Individual lessons range from basic pedagogy to reviews of essential quantitative content for the tutoring position. Learning is scaffolded by supporting professional practice with continuous reflection and applications toward improved self-regulated learning – both for the tutors and for the students they will assist.

The content of each tutor preparation class meeting is sandwiched by metacognitive prompting. Before class, the Q-tutors prepare, engage, and reflect; for example, they may read a relevant piece of literature and respond to several open-ended reflective prompts about the reading (see “Suggested Readings” below). The synchronous tutor preparation class lesson, attended by all new Q-tutors and the director who teaches the course, involves discussion and other activities relating to the assigned reading, especially emphasizing conversation about issues or concerns the tutors are facing in their new roles. The “metacognition sandwich” is completed by a reflective post to a discussion board, where the Q-tutors respond and build on each other’s reflections, describing what they had learned that day, asking and answering questions, and elaborating on how to apply the lesson to tutoring.

In addition to these explicit reflection activities, the tutor preparation course facilitates discussion of the use and importance of self-regulated learning strategies (SRL) and behaviors. Q-tutors are provided many opportunities to reflect on their own learning. For example, they complete and discuss multiple SRL-based inventories, such as the GAMES (Svinicki, 2006) and the Index of Learning Styles Questionnaire (credit to Richard Felder and Barbara Solomon). Class lessons revolve around evidence-based learning strategies, such as self-testing, help-seeking, and techniques to transform information.

One assignment requires tutors to create and present a “study hack,” an idea adapted from a thread on a popular and supportive listserv for academic support professionals (LRNASST). The assignment, inherently reflective, allows the tutors to consider strategies they successfully utilize, summarize that information, and translate the SRL strategy into a meaningful presentation and worksheet for the tutor group. The Q-tutors present their “study hacks” during class time, with examples from past semesters ranging from mindfulness exercises to taking notes with color coding. These worksheets are also saved as a resource for students so they can learn from SRL strategies endorsed by Q-tutors.

Q-tutors are encouraged to “pay forward” their metacognitive training by focusing on SRL and reflection during their tutoring sessions. They teach study strategies such as self-testing and learning-monitoring, and support student reflection through “checking for understanding” activities at the end of each tutoring session. Tutors know that teaching study skills is one of the major priorities during tutoring sessions; and they close the loop by meeting with other tutors regularly to discuss new and useful skills they can communicate to students they work with. Tutors also get a regular reminder about the importance of study skill development when they read the end-of-appointment survey responses from their tutees, particularly in response to the prompt for “study skill reviewed.”

As a summative assignment in the course, Q-tutors write a Tutoring Philosophy, similar to a teaching statement. By this time, the tutors have gained an awareness of the importance of SRL and metacognitive reflection, as seen in excerpts from sample philosophies from previous semesters:

I strive to strengthen numeracy within our tutees, rid them of their anxieties surrounding quantitative subjects, and build up their skills to become better learners.

Once the tutee gains enough trust and confidence in the material, it is essential for them to begin guiding the direction of the session toward their own learning goals.

By practicing good study habits, self-advocacy, organizational skills, and a     calm demeanor when tutoring, tutees learn what it takes to be a better student.

By thinking intentionally about what it means to be an effective tutor,these students realize that they must model what they teach in a reflective, continuous mutual-learning process: “[In tutoring] my job is to identify what each person needs, use my skills to support their learning, and reflect on these interactions to improve my methods over time.”

In sum, using an intentional metacognitive lens, Q-tutor training at Goucher College supports quantitative skills and general learning strategies in the many students the QR Center reaches. Through this metacognitive cycle, the QR Center supports Goucher’s learning community in improving the Reflection component of the Goucher 3Rs.

Suggested References

Scheaffer, R. L. (2003). Statistics and quantitative literacy. Quantitative Literacy: Why Numeracy Matters for Schools and Colleges, 145-152. Retrieved from https://www.maa.org/sites/default/files/pdf/QL/pgs145_152.pdf

Siegle, D., & McCoach, D. B. (2007). Increasing student mathematics self-efficacy through teacher training. Journal of Advanced Academics, 18, 278–312. https://doi.org/10.4219/jaa-2007-353

Svinicki, M. D. (2006). Helping students do well in class: GAMES. APS Observer, 19(10). Retrieved from https://www.psychologicalscience.org/observer/helping-students-do-well-in-class-games


Williamson, G. (2015). Self-regulated learning: an overview of metacognition, motivation and behaviour. Journal of Initial Teacher Inquiry, 1, 25-27. Retrieved from http://hdl.handle.net/10092/11442


Metacognition at Goucher I: Framework and Implementation

by Jennifer McCabe & Justine Chasmar, Goucher College

Goucher College, a small private liberal arts college in Baltimore, Maryland, has in recent years focused curricular and co-curricular endeavors around metacognitive principles. Shortly after the appointment of Dr. Jose Antonio Bowen as Goucher’s President in 2014, he introduced a framework for all campus endeavors called the “New 3Rs”: Relationships, Resilience, Reflection. President Bowen charged all stakeholders at the college to enhance and highlight elements of the Goucher experience that already held these values; and to intentionally continue to build a community guided by the 3Rs on multiple interacting levels.

For this first blog about how Goucher College has framed the student experience around improving metacognition, we will focus on the 3rd “R”, Reflection, and discuss how this guiding metacognitive principle is embedded in our new curriculum and drove the creation of a new student and faculty support centers on campus.

Reflection is at the core of the Goucher Commons Curriculum, introduced in 2017 (https://www.goucher.edu/learn/curriculum/). Across the curriculum, and scaffolded over years spent at Goucher, students intentionally reflect in various ways, many of which would ideally lead to metacognitive development. In required first-year seminar courses, students are supported in considering their own place and privilege in society, and how this shapes their thought processes and views on the world. The newly developed “Center-Pair Explorations” courses form the breadth of general education study across non-major disciplines; in these courses, students are encouraged to reflect on how disciplinary and interdisciplinary methodologies lead to scholarly innovation. Indeed, the mission of these (and other) courses is for students to develop the skill of  collaborating on complex problems with others who are different from them (https://www.goucher.edu/learn/curriculum/student-learning-goals-and-outcomes/college-learning-goals); this inherently reflects elements of metacognition, with regard to identifying environments and strategies for successful goal-attainment, along with awareness of situations when additional information and/or a change in strategy is needed.

Reflection is a key embedded component in the required Study Abroad experience at Goucher as well – students are explicitly asked to frame their experience from multiple perspectives, to integrate it with their own knowledge and identity, and to think about what they are learning before, during, and after their time abroad. And, as a culminating experience at Goucher, seniors complete a Capstone project either through our Leadership Capstone program or through their disciplinary major. The key questions for the Leadership Capstone are: Who are you now? and Who were you four years ago? Students are asked to articulate this journey of change in an oral presentation. For example, a psychology major may discuss how the combination of coursework, internship experiences, faculty mentorship, and on-campus co-curricular activities shaped her academic and personal journey, and has led to a path forward from Goucher. The specifics of Disciplinary Capstone experiences vary by major (e.g.,  research project, critical literature review, performance piece, community intervention), but inherently the Capstone requirement involves reflective, integrative, and critical thinking. The processes involved in such advanced academic work are equally cognitive and metacognitive in nature.

Ultimately, we want Goucher students to show metacognitive sophistication in understanding their own learning and thinking. Through the use of newly implemented e-portfolios, which are begun and supported with explicit instruction in first-year courses, along the way students will be able to look back at various steps in their learning experiences to reflect on improvements and growth areas. And we hope that by recently changing the name and framing of our end-of-semester student surveys from the more traditional “Course Evaluations” to the metacognitively-focused “Student Reflections,” we are more explicitly encouraging students to think about their learning experiences from multiple perspectives. Instead of focusing on strengths and weaknesses of the course and instructor, the framing starts with the student perspective: what they brought to the course, what they thought they were supposed to learn, how well they think they learned it, and ways in which the course and instructor supported their learning.

In addition to the ways in which Goucher has embedded metacognitive principles into the curriculum and academic practices, structural change has also occurred through the creation of new centers for faculty and student support. Several years ago, the Provost and select faculty planned for two new campus centers – the Center for the Advancement of Scholarship and Teaching (CAST) and the Quantitative Reasoning Center (QR Center). In the external search for directors, both position advertisements emphasized the desire for candidates who understood not only the pertinent content area (e.g., math and data skills for the QR Center) but also a nuanced understanding of growth mindset and metacognitive principles important to student (and faculty) success.

CAST opened its doors in January 2017, to support faculty in teaching and research endeavors. This center, led by Dr. Robin Cresiski, sponsors a variety of workshops, including those that help faculty develop the Center-Pair Exploration courses discussed above. In addition, CAST holds informational and interactive sessions to help faculty understand evidence-based practices for student learning, as well as how to support students in developing metacognitive skills – in particular, the essential lifelong skill of learning how to learn. For example, the popular Transparent Assignment Workshops invite instructors to bring existing assignment instructions, and then use peer feedback to improve with regard to clarity of purpose, directions, and learning measurements. In this way, CAST is helping the educators at Goucher develop more sophisticated metacognition about how to translate their own knowledge into effective and inclusive learning opportunities for students, built on understanding the conditions under which students (humans) learn best.

The QR Center debuted as a student-facing center in August 2017, with Dr. Justine Chasmar (co-author of this blog) as inaugural director. The QR Center supports students with their quantitative skill and content development across all disciplines at Goucher, with a focus on promoting quantitative literacy (www.goucher.edu/qrcenter). To foster these skills, the QR Center offers programming including tutoring, workshops, and academic consultations, using peers (called Q-tutors) as the primary medium of support. Q-tutors complete a training course that combines scaffolded reflection and practical exercises. A major focus of Q-tutoring is on fostering independence through the use of self-regulated learning and study strategies. Q-tutors are trained to teach and model study strategies such as self-testing and metacognitive monitoring, and to support student reflection through “checking for understanding” activities in each tutoring session. Metacognitive reflection is a guiding principle for tutor training and all student programming at the QR Center. A second blog in this series will focus on specifics of Q-tutor training at Goucher (Metacognition at Goucher II: Training for Q-Tutors).

Taken together, these programmatic and structural campus initiatives help to form multiple levels of interacting metacognitive support for our community of learners. Indeed, President Bowen often states the goal that Goucher helps students become “voracious self-regulated learners” (https://blogs.goucher.edu/intheloop/9210/goucher-lauded-by-doe-for-helping-all-students-find-success/). By naming Reflection as one of the “New 3Rs,” metacognition has become an embedded part of campus life with the potential to benefit all constituencies.

Recommended Reading

Bowen, J. A. (2012). Teaching naked: How moving technology out of your college classroom will improve student learning. San Francisco: Jossey-Bass.

Bowen, J. A., & Watson, C. E. (2017). Teaching naked techniques: A practical guide to designing better classes. San Francisco: Jossey-Bass.

Bowen, J. A. (2020). A new 3Rs: Using behavioral science to prepare students for a new learning economy. Baltimore, Maryland: Johns Hopkins University Press.


Small Metacognition – Part II

By Jennifer A. McCabe, Ph.D., Goucher College

Just before the start of this spring semester, I decided to make a change in the structure of readings and discussions in my upper-level seminar course on Cognition, Teaching, and Learning. I had recently read James Lang’s (2016) book, Small Teaching: Everyday Lessons from the Science of Learning, and was inspired to include it in my class. Instead of jumping into a discussion of research articles, with a few popular press articles or book chapters included toward the end of the semester as examples of translational science writing, I flipped the order and instead started the course with three weeks reading, discussing, and applying the information from Lang’s book (syllabus available upon request).

book cover - James Lang's Small Teaching

As described in my previous blog post (Small Metacognition I) the premise of Small Teaching is that evidence-based, incremental shifts in how teachers structure and deliver educational experiences can have a large pay-off in terms of student learning and engagement. The book speaks to multiple aspects of teacher metacognition (knowing about (students’) knowing, thinking about (students’) thinking, and learning about (students’) learning), even though the term itself is never mentioned.

My students were assigned to read one Small Teaching chapter per class day. For each, they prepared ‘Reading Responses’ consisting of three short paragraphs – from the perspective of a student, an educator, and a cognitive psychologist. At the start of each class period, they completed a ‘Comprehension Check’ question meant to give them feedback on their own learning of the day’s readings. This was self-graded with a check-plus/check/check-minus system, and was low-stakes in that only effort and completion counted. I mostly led these class periods, administering the Comprehension Check, engaging them in some type of active learning activity relevant to the day’s topic, and facilitating a discussion of the reading based on their Reading Responses. This first portion of the class was designed to help them learn about effective teaching through Lang’s book, and also through modeling my own class design and delivery.

This became important because after we finished the nine book chapters, we then shifted into primary source readings of research articles related to applied memory and the Scholarship of Teaching and Learning. During each class period with an article assigned, two students took the role of Discussion Leader; using what they learned from Small Teaching, and in consultation with me ahead of time, they curated and led a class period that included a Comprehension Check question (which should be effective for learning based on findings from memory research on testing as described in Lang’s Retrieving chapter), an active learning exercise (known to be effective based on ideas from the Connecting chapter), and an interactive discussion (relevant to elaboration-based strategies described in the Self-Explaining chapter). Students engaged in conversation about how the current article related to their reading of Small Teaching earlier in the semester (which itself highlighted the usefulness of spacing and mixing of topics, as described in the Interleaving chapter).

During these student-led class periods, I essentially became a member of the class, participating in demonstrations and discussions as a contributor but not as a leader. The Discussion Leaders were empowered in their choices of how to make the class period effective and engaging for their peers. Following the class, I provided feedback to the groups, with a particular emphasis early in the semester on strategies for the next time they led the class. The Discussion Leader experience helped to develop their metacognition by thinking intentionally about the most effective learning experiences, and then how to design and deliver them. There were also times when they had to change teaching/learning strategies midstream, if something was not working well (another component of sophisticated metacognition).

In order to better understand the student experience of reading Small Teaching, which is not aimed at an undergraduate audience, and also to more directly connect to topics in metacognition, I gave the thirteen students in my class an optional free-response survey completed during our final class period. In the spirit of transparency, I had them read my Small Metacognition I blog post first, and explained my plan to write a follow-up post about the class experience with Lang’s book. Each decided whether or not to allow me to use their responses. Though I use names below, pseudonyms are used as needed to reflect my students’ preference.  (Students, if you’re reading this, thank you for contributing to this post!)

I first asked about the most important or memorable lessons from Small Teaching. Several mentioned specific topics or chapters that were impactful, namely retrieving, interleaving, practicing, motivating, growing, and expanding. Many wrote about using evidence to inform teaching in ways that are incremental rather than complete overhauls. For example, Elise wrote, “The current way courses are structured are pretty terrible for durable learning. In order to better structure courses, professors can implement small but impactful techniques to encourage better learning in class as well as guide students towards more empirically supported learning and study methods.” Though metacognition did not come up directly, several responses were related. Anna wrote, “The most important lesson is that learning is complex and that there are many factors at play in the classroom.” Megan commented that it is critical that “both parties (teacher and student) understand exactly why they are doing what they do to learn.” And Katherine noted, “It made me reflect on my own experience in academics and my growth as a learner.”

Next I asked in what ways they think that Small Teaching has (or will) changed the way you think or act in the world. Here students clearly referenced metacognitive development, with Addy saying it “introduced a more metacognitive approach in education to me,” and Samantha noting, “I now have this toolbox of ways I can implement effective strategies.” Noah said, “I feel I have a better understanding of how my mindset can affect my ability to learn.” Anna’s response captured multiple aspects of metacognition: “As a student, Small Teaching (and our larger course discussions) has already shifted the way I think about and articulate my learning experiences. I really think the metacognitive awareness of learning how to learn has helped me to think about the strategies I have used and would like to further implement in my future learning.” Two additional students commented on improved metacognitive awareness.

Finally students were asked whether they would recommend keeping Small Teaching as a core reading in this seminar course. Every student responded positively. They appreciated the book coming at the start of the class as a foundation for the research articles they would be reading, as a way to take an educator’s perspective on learning and memory research, and as an example of a translational piece (they created their own translational projects later in the semester).

I came away from this experience feeling pleased with my decision to incorporate Small Teaching into this class, and also feeling as though I myself had a significant learning (and metacognitive!) experience. Hopefully my students – most of whom were seniors, and some of whom will become teachers – will leave this course with a more sophisticated metacognitive perspective not only toward their own learning, but also toward purposeful and transparent design of educational experiences that effectively support others’ learning.

Recommended Reading

Lang, J. M. (2016). Small Teaching. San Francisco, CA: Jossey-Bass.


Small Metacognition – Part I

By Dr. Jennifer A. McCabe, Goucher College

I recently read James Lang’s (2016) book, Small Teaching: Everyday Lessons from the Science of Learning, which is framed by the premise that incremental shifts in how teachers structure and deliver educational experiences can have a large pay-off in terms of student learning and engagement. Each recommendation is grounded in what we know works for learning from memory research, and each is implementable without significant additional resources, time, or grading. Though Lang does not explicitly frame his book around metacognition (in fact, the word is not mentioned!), much of it supports the development of teacher metacognition with regard to several core components: knowing about (students’) knowing, thinking about (students’) thinking, and learning about (students’) learning.

In this first post (Part I), I describe Small Teaching through a metacognitive lens to support the development of teachers’ metacognition about course design and implementation. In Part II, I will discuss my experience of incorporating this book into a senior seminar in Cognition, Teaching, and Learning.

Adding Small Steps leads to Big Changes

The first section of Small Teaching, entitled Knowledge, presents the idea that students do not necessarily know what strategies support durable and flexible learning. This gives teachers the opportunity (and responsibility) to structure experiences that support learning, even though these may feel harder, slower, or show smaller gains in the short term (i.e., desirable difficulties; see Yan et al., 2017 for a recent review). The Retrieving chapter discusses the testing effect, and the many ways teachers can encourage students to practice effortful retrieval of information from long-term memory. Predicting presents the value of pre-testing and predictive opportunities, which boost curiosity and aide subsequent learning. Interleaving discusses the spaced (or distributed) study principle, and the related strategy of interleaving (i.e., mixing instead of, or in addition to, blocking); these strategies help rectify the common metacognitive pitfall of forgetting we (and our students) forget. Student’s ability to produce knowledge at one point in time does not necessarily predict their future ability to remember. Incorporating frequent retrieval practice and cumulative assessments are concrete ways to counter-act the natural process of forgetting.

The second section is focused on Understanding, or deep comprehension. In Connecting, Lang discusses strategies to link and expand knowledge, including the intentional activation and use of students’ prior knowledge, use of explicit frameworks (e.g., outlines, concept maps), and writing exercises that support students in the challenging task of creating new connections. Practicing stresses the metacognitive component of knowing about (students’) knowing; that is, intentionally assessing cognitive skills needed for a large assignment, then making space for practice of those skills to scaffold toward successful assignment completion. Self-Explaining describes the strategy of having students explain what they are thinking and doing during a task – another example of a desirable difficulty.

The third and final section of Small Teaching is framed around Inspiration. This includes Motivating, focusing on the role of emotions in learning. Even teachers who have metacognitive knowledge about the basics of learning from a cognitive perspective, may have low awareness of the impact motivation has on learning, and the ways in which we can intentionally utilize students’ emotion (e.g., cultivating positive rapport, showing enthusiasm, using story-telling and narratives, and supporting the development of self-transcendent purpose). Growing helps teachers understand the value of a growth mindset as connected to student success, and how to create classrooms that model and reward growth. Finally, Expanding offers a discussion about “big teaching” – new frontiers for major shifts in how college courses are structured and offered.

Ultimately, the take-away message from Small Teaching is that relatively minor changes can bring big rewards in our classrooms. As an added bonus, many techniques give teachers tangible feedback about how students are progressing toward course learning goals. Viewing this book from a metacognitive framework encourages teachers to examine their own beliefs about learning, which can lead to an enlightening appraisal of why we make the decisions we do. Metacognitive questions abound: What is the learning goal here? How does the structure of this assignment get students to the learning goal? What cognitive processes am I expecting students to engage in (and how do I know they know how to do them)? Does this assignment have an explicitly stated purpose? Do my assessments engage cognitive processes that support durable and flexible learning? Am I being transparent in communicating the rationale for my pedagogical choices to my students? How are my own learning beliefs and biases influencing my students’ experience?

These “small” principles provide great opportunity, but also potential hazards. Teachers need to consider the line between desirable and undesirable difficulties, ensuring that the work we assign for students is difficult in a way that encourages effort in support of learning, and not in a way that overwhelms or otherwise detracts from learning. That is, paying mindful attention to the cognitive processes involved in coursework, and the ability of students to engage in them, is critical. An effective assessment will be challenging in the manner of engaging processes such as retrieval or elaboration that we know support learning. An undesirably difficult assessment will be challenging in a non-productive way. For example, to make students work harder, teachers may give repetitive busy-work that requires time and energy, but does not aid learning. Or consider assessments so difficult that learners do not have the cognitive (or metacognitive) scaffolding in place to engage effectively, even with great effort. Overly difficult assessments can result in feelings of anxiety, overwhelm, and even anger – all of which are counter-productive to learning. Enter the value of teacher metacognition: A teacher skilled in thinking about how learning works, and what their students know (along with skills they bring to the course), will be better able to navigate their assessments to keep them on the side of desirable difficulties.

In sum, metacognitive awareness and self-regulation are both key components to effective translation of memory principles into effective educational design. Lessons from Small Teaching connect to “small” adjustments toward increased metacognitive awareness in teachers. In Part II I will explain and reflect on my, and my students’, experience with Small Teaching in my seminar course.

Recommended Reading

Lang, J. M. (2016). Small Teaching. San Francisco, CA: Jossey-Bass.

Yan, V. X., Clark, C. M., & Bjork, R. A. (2017). Memory and metamemory considerations in the instruction of human beings revisited: Implications for optimizing online learning. In J. C. Horvath, J. Lodge, & J. A. C. Hattie (Eds.), From the Laboratory to the Classroom: Translating the Learning Sciences for Teachers (pp. 61-78). New York: Routledge.


Boosting Metacognition through In-Class Assessments

By Jennifer A. McCabe, Goucher College

Five years ago, I radically changed the assessment format of my undergraduate Human Learning and Memory course, from a more traditional model with three big exams to a frequent low-stakes testing approach, which involved administering a short quiz to start most class periods (and nixing big exams). This choice came on the heels of a shift from a content-driven focus to an elaboration and integration emphasis in this course, and a shift from a textbook to five popular press books about learning and memory (syllabus available by request). I decided that the assessments should more intentionally reflect a central goal for the course that students would come to class each day prepared to actively engage with and discuss the assigned material. When I first made this change, I gave little explicit thought to metacognitive development in my students; as I describe in this blog post, along the way I tweaked the way the quizzes were framed and administered to more transparently support metacognition.

The first iteration of the daily low-stakes assessment was described as a “KCA Quiz,” designed to assess (and improve) students’ Knowledge, Connection, and Application (“KCA”) of course topics and readings. At the start of most class periods, students had about 10 minutes to complete a 5-item open-book and open-notes quiz, which could include factual questions, connection questions, application questions, and thought/opinion questions. These would mainly focus on the reading assignment for the current day, but could also draw from prior assigned readings/topics. Students were expected to bring all their notes and books to class each day in hard copy (no electronics allowed), for reference. After collecting the quizzes, we discussed the answers as a large group, and then the quizzes were graded on a scale of 0 (absence) to 1 (0 or 1 correct) to 2 (2 or 3 correct) to a maximum of 3 (4 or 5 correct).

Certainly some elements of this assessment strategy had the potential to impact metacognition. For one, there was a consequence for lack of preparation if students could not find the answers in time. Also, receiving immediate feedback in class about whether their answers were correct should have given them insight into their learning. Yet, given what we now know about the power of retrieval practice (i.e., the testing effect; see recommended reading below), namely the inherent memory and metacognitive benefits, I was dissatisfied with the low (or no) expectation that students would retrieve the information from memory without using external sources. Therefore, I worked toward developing a modified version of “KCA Quizzes” that would better support retrieval practice and metacognition, yet preserve the low-stakes and frequent-testing components.

Starting in Fall 2016, I made several changes to this component of the course. First, I started calling them “KCA Assessments” instead of “KCA Quizzes.” Previously, I would get some complaints – in person and on course evaluations – about the pressure and stress of having a quiz every day. Simply shifting the language from “quiz” to “assessment” completely eliminated those complaints. I think that being “assessed” rather than “quizzed” activates a different schema for the students – perhaps representing a metacognitive shift from a performance focus to more of a learning focus.

This is particularly striking given that along with the name change, I made the assessments more challenging. Now they are a hybrid of closed- and open-books/notes, with a unique metacognitive twist. Students start by dividing their paper into left and right columns. For the first five minutes, they answer the five questions from memory (closed-book) in the left column. Then, I announce they can open their books and notes, and anything they want to add or modify about their answers is written in the right column. They know that I grade their answers (using the same generous scale described above) based only on whether they got them correct through the combination of closed- and open-notes. Yet using the left-right column method, they are forced not only to spend time effortfully retrieving the information (or even just trying – which as we discuss in class, still benefits memory), but also have a clear record of how easily and accurately they could arrive at correct answers from long-term memory, without consulting external sources. This supports metacognition by building students’ explicit awareness of their level of learning, which can then be used to guide their further learning behaviors. I encourage them to strive to be able to answer all the questions in the left column, but the pressure of testing is relieved by the back-up plan to consult course materials.

Recently, I administered a brief anonymous feedback survey about the KCA Assessments. Of the 21 students who responded in a class of 25, 86% agreed or strongly agreed that the assessments “improved my metacognition – that is, they helped me think and know more about my own learning and memory.” When asked an open-ended question about which aspect(s) of the assessments supported metacognition, 65% identified the closed/open-book hybrid approach, with comments such as:

“You couldn’t be convinced you know something if you couldn’t get it during the closed- book portion.”

“Helped me see what I actually remembered and what I needed help with or didn’t encode or couldn’t retrieve.”

“This allowed me to use my own memory to remember answers and gave me an idea of what I need to focus on more for when I read for the next class.”

“Having the closed then open note format really obviously shows what you processed more deeply than others.”

Other answers described the focus on deeper processing and application to real-life issues, learning to be more interactive and engaged with course reading assignments, getting immediate feedback after the assessments, and the reduced-pressure grading scale. The majority (90%) probably or definitely “would recommend keeping the KCA Assessments for future classes.”

The current iteration of this in-class assessment strategy grew from my own metacognitive insight as an instructor, with regard to balancing student learning, engagement, and incentives for examining and potentially changing learning strategies. Based on observing student performance, and on student feedback on course evaluations and from this survey, this approach is palatable (even enjoyable) for students, encourages deep and elaborative reading, supports durable memory for course material, and – at least by way of self-report – boosts metacognition in undergraduates.

Recommended Reading

Putnam, A. L., Sungkhasettee, V. W., & Roediger, H. L. (2016). Optimizing learning in college: Tips from cognitive psychology. Perspectives on Psychological Science, 11, 652-660. doi: 10.1177/1745691616645770

Roediger, H. L., & Pyc, M. A. (2012). Inexpensive techniques to improve education: Applying cognitive psychology to enhance educational practice. Journal of Applied Research in Memory and Cognition, 1, 242-248. http://dx.doi.org/10.1016/j.jarmac.2012.09.002