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2017 ASEE Annual Conference & Exposition

Board # 28 : Beginning to Understand Student Indicators of Metacognition

Presented at NSF Grantees Poster Session

Metacognition, defined as the knowledge and regulation of one’s own cognitive processes, is critically important to student learning and particularly instrumental in problem-solving. Despite the importance of metacognition, much of the research has occurred in controlled research settings such that much less is known about how to help students develop metacognitive skills in classroom settings. Further, there are significant bodies of research on the role of metacognition in writing and solving math problems, but little work has been done on the role of metacognition within engineering disciplines.

The purpose of this project is to generate transferable tools which can be used to teach and evaluate undergraduate engineering students’ metacognitive skills. This present paper reports on our development of a metacognitive indicator rubric for assessing students’ metacognitive processes and tracking their growth. Up to this point in the project we have created a six-module metacognitive intervention, piloted the intervention in a sophomore engineering course at a small private undergraduate-focused institution and translated the intervention to two more engineering education contexts including a first-year and upper-level engineering course each at different universities. Each module is made up of paired pre-class video, in-class activity, and post-class assignment elements. The videos provide a general view of metacognition situated within a STEM higher education context, while the in-class activities and post-class assignments are specialized for the particular context (e.g., problem solving, lab, or project based courses).

To develop a metacognitive indicator rubric, we analyzed student responses to the metacognitive module assignments collected during intervention pilot. We tested and refined the indicators using student data from subsequent implementations. Later we will work with instructors to ensure their utility and ease-of-use. In developing the indicator rubric, we first identified a question from each assignment that exemplified the main purpose of each module. Then all of the student responses from that question were pooled and ranked on a “low”, “medium”, or “high” level of metacognitive processing for that question. Since each module had a main topic, students responses with at least a mention of the topic were ranked as a “medium”. A “high” level answer related topics from the current module to ones they had seen before and made plans for implementing their new knowledge. A “low” level answer generally revealed that the student made little attempt to engage in the metacognition module. As such, the metacognitive indicator rubric serves as a translation of common student behavior to the formal elements of metaconition.

The metacognitive indicator rubric is designed to assist instructors in assessing how their students are engaging in the metacognition modules and in giving students specific and actionable feedback to improve their approaches to learning in their course. The rubric provides specific examples of student behavior in the students’ own words categorized by level and metacognitive dimension. As students progress through the modules, instructors will be able to track individual students’ metacognitive growth and target their feedback accordingly, praising progress and gently challenging less effective approaches to learning.

Authors
  1. Dr. Patrick Cunningham Rose-Hulman Institute of Technology [biography]

    Patrick Cunningham is a Professor of Mechanical Engineering at Rose-Hulman Institute of Technology. His professional development is focused on researching and promoting metacognition, self-regulated learning, and reflection among students and faculty in E

  2. Dr. Holly M Matusovich Virginia Polytechnic Institute and State University [biography]

    Dr. Holly Matusovich is the Associate Dean for Graduate and Professional Studies in the College of Engineering at Virginia Tech and a Professor in the Department of Engineering Education where she has also served in key leadership positions. Dr. Matusovich is recognized for her research and leadership related to graduate student mentoring and faculty development. She won the Hokie Supervisor Spotlight Award in 2014, received the College of Engineering Graduate Student Mentor Award in 2018, and was inducted into the Virginia Tech Academy of Faculty Leadership in 2020. Dr. Matusovich has been a PI/Co-PI on 19 funded research projects including the NSF CAREER Award, with her share of funding being nearly $3 million. She has co-authored 2 book chapters, 34 journal publications, and more than 80 conference papers. She is recognized for her research and teaching, including Dean’s Awards for Outstanding New Faculty, Outstanding Teacher Award, and a Faculty Fellow. Dr. Matusovich has served the Educational Research and Methods (ERM) division of ASEE in many capacities over the past 10+ years including serving as Chair from 2017-2019. Dr. Matusovich is currently the Editor-in-Chief of the journal, Advances in Engineering Education and she serves on the ASEE committee for Scholarly Publications.

  3. Dr. Deirdre-Annaliese Nicole Hunter La Gran Familia De Gregory [biography]

    Dr. Deirdre Hunter is a lecturer at the Oshman Engineering Design Kitchen at Rice University. She develops and teaches courses in support of the engineering design minor. Her current research is in the areas of problem-based learning facilitation and teaching metacognition. Her research strengths include research design and implementation using qualitative methods. She has a Ph.D. in Engineering Education from Virginia Tech and a B.S. in Mechanical Engineering from Syracuse University

  4. Sarah Anne Blackowski Virginia Tech
  5. Dr. Sreyoshi Bhaduri Amazon Web Services [biography]

    Dr. Sreyoshi Bhaduri is an Engineering Educator and People Research Scientist. As part of Global Talent Management Science at Amazon, she employs innovative and ethical mixed-methods research approaches to uncover insights about the 21st century workforce.
    Sreyoshi has a doctorate in Engineering Education, and Masters degrees in Applied Statistics (M.A.) and Mechanical Engineering (M.S.). She earned her Bachelors degree in Mechatronics Engineering from Manipal University in India. Sreyoshi has been recognized as a Graduate Academy for Teaching Excellence (VTGrATE) Fellow, a Global Perspectives Program (GPP) Fellow, a Diversity scholar, and was inducted in the Bouchet Honor Society in 2017.
    Sreyoshi is passionate about improving belonging among women in Engineering. She serves as Senator at SWE (Society of Women Engineers) - the world’s largest advocate and catalyst for change for women in engineering and technology with over 42,000 global members. She also champions and serves as advisor at Sisters in STEM - a not-for-profit led by school students, aimed at increasing interest, engagement, and allyship in STEM. Learn more about her work at - www.ThatStatsGirl.com

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