ASPECT: A Survey to Assess Student Perspective of Engagement in an Active-Learning Classroom
Open accessAbstract
The primary measure used to determine relative effectiveness of in-class activities has been student performance on pre/posttests. However, in today’s active-learning classrooms, learning is a social activity, requiring students to interact and learn from their peers. To develop effective active-learning exercises that engage students, it is important to gain a more holistic view of the student experience in an active-learning classroom. We have taken a mixed-methods approach to iteratively develop and validate a 16-item survey to measure multiple facets of the student experience during active-learning exercises. The instrument, which we call Assessing Student Perspective of Engagement in Class Tool (ASPECT), was administered to a large introductory biology class, and student responses were subjected to exploratory factor analysis. The 16 items loaded onto three factors that cumulatively explained 52% of the variation in student response: 1) value of activity, 2) personal effort, and 3) instructor contribution. ASPECT provides a rapid, easily administered means to measure student perception of engagement in an active-learning classroom. Gaining a better understanding of students’ level of engagement will help inform instructor best practices and provide an additional measure for comprehensively assessing the impact of different active-learning strategies.
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Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 33,219 · see citing works
Motivational processes affecting learning.
Dweck, C. S. (1986) · American Psychologist · doi:10.1037/0003-066x.41.10.1040 · Cited by 6,971 · see citing works
The four-phase model of interest development
Hidi, S., & Renninger, K. A. (2006) · Educational Psychologist · doi:10.1207/s15326985ep4102_4 · Cited by 4,702 · see citing works
Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (Mslq)
Pintrich, P. R., Smith, D. A. F., Garcia, T., & Mckeachie, W. J. (1993) · Educational and Psychological Measurement · doi:10.1177/0013164493053003024 · Cited by 3,646 · see citing works
Handbook of Research on Student Engagement
(2012) · doi:10.1007/978-1-4614-2018-7 · Cited by 3,050 · see citing works
Getting Under the Hood: How and for Whom Does Increasing Course Structure Work?
Eddy, S. L., & Hogan, K. A. (2014) · CBE—Life Sciences Education · doi:10.1187/cbe.14-03-0050 · Cited by 553 · cited 3× · see citing works
“Furthermore, different student populations are disproportionally affected by active-learning activities (Springer et al., 1999; Haak et al., 2011; Eddy and Hogan, 2014).”
BackgroundSelf-citationDasgupta, N., & Stout, J. G. (2014) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/2372732214549471 · Cited by 471 · see citing works
Eddy, S. L., Converse, M., & Wenderoth, M. P. (2015) · CBE—Life Sciences Education · doi:10.1187/cbe.14-06-0095 · Cited by 182 · cited 2× · see citing works
“…engagement between two instructors; paired with additional classroom observation data about instructor habits (for example from a tool like PORTAAL [Eddy et al., 2015] or COPUS [Smith et al., 2013]), instructors may be able to enhance their own soft skills to increase engagement in their own…”
BackgroundMethodSelf-citationSeidel, S. B., Reggi, A. L., Schinske, J. N., Burrus, L. W., & Tanner, K. D. (2015) · CBE—Life Sciences Education · doi:10.1187/cbe.15-03-0049 · Cited by 134 · see citing works
Flagged first, then by citations
Research works printed but not linked: 25
- Andrews TM Leonard MJ Colgrove CA Kalinowski ST Active learning not associated with student learning in a random sample of college biology courses CBE Life Sci Educ 2011 10 394 405 22135373 PMC3228657
- Burnham KP Anderson DR Model Selection and Multimodel Inference: A Practical Information-Theoretical Approach 2002 New York Springer Science
- Corwin LA Runyon C Robinson A Dolan EL The laboratory course assessment survey: a tool to measure three dimensions of research-course design CBE Life Sci Educ 2015 14 ar37 26466990 PMC4710398
- Dillman DA Smyth JD Christian LM Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method 2014 Hoboken, NJ Wiley
- Eccles JS Wigfield A Motivational beliefs, values, and goals Annu Rev Psychol 2002 53 109 132 11752481
- Freeman S Eddy SL McDonough M Smith MK Okoroafor N Jordt H Wenderoth MP Active learning increases student performance in science, engineering, and mathematics Proc Natl Acad Sci USA 2014 111 8410 8415 24821756 PMC4060654
- Graham MJ Frederick J Byars-Winston A Hunter AB Handelsman J Science education. Increasing persistence of college students in STEM Science 2013 341 1455 1456 24072909 PMC10167736
- Grunspan DZ Wiggins BL Goodreau SM Understanding classrooms through social network analysis: a primer for social network analysis in education research CBE Life Sci Educ 2014 13 167 179 26086650 PMC4041496
- Haak DC HilleRisLambers J Pitre E Freeman S Increased structure and active learning reduce the achievement gap in introductory biology Science 2011 332 1213 1216 21636776
- Hagerty BMK Patusky K Developing a measure of sense of belonging Nurs Res 1995 44 9 13 7862549
- Hart D Authentic Assessment: A Handbook for Educators 1994 Menlo Park, CA Addison-Wesley
- Henningsen A 2016 Package ‘censReg.’: 1–10. https://cran.r-project.org/web/packages/censReg/censReg.pdf 27455913
- London B Downey G Romero-Canyas R Rattan A Tyson D Gender-based rejection sensitivity and academic self-silencing in women J Pers Soc Psychol 2012 102 961 979 22180999
- Malcom S Feder M Barriers and Opportunities for 2-Year and 4-Year STEM Degrees: Systemic Change to Support Students’ Diverse Pathways 2016 Washington, DC National Academies Press 27336114
- National Academy of Sciences, National Academy of Engineering, and Institute of Medicine Rising above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future 2007 Washington, DC National Academies Press
- National Research Council BIO2010: Transforming Undergraduate Education for Future Research Biologists 2003 Washington, DC National Academies Press 20669482
- Ryan RM Mims V Koestner R Relation of reward contingency and interpersonal context to intrinsic motivation: a review and test using cognitive evaluation theory J Pers Soc Psychol 1983 45 736
- Sekaquaptewa D Waldman A Thompson M Solo status and self-construal: being distinctive influences racial self-construal and performance apprehension in African American women Cultur Divers Ethnic Minor Psychol 2007 13 321 327 17967100
- Smith MK Jones FH Gilbert SL Wieman CE The Classroom Observation Protocol for Undergraduate STEM (COPUS): a new instrument to characterize university STEM classroom practices CBE Life Sci Educ 2013 12 618 627 24297289 PMC3846513
- Springer L Stanne ME Donovan SS Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: a meta-analysis Rev Educ Res 1999 69 21 51
- Steele CM A threat in the air: how stereotypes shape intellectual identity and performance Am Psychol 1997 52 613 629 9174398
- Tanner KD Structure matters: twenty-one teaching strategies to promote student engagement and cultivate classroom equity CBE Life Sci Educ 2013 12 322 331 24006379 PMC3762997
- Visschers-Pleijers AJ Dolmans DH Wolfhagen IH van der Vleuten CP Development and validation of a questionnaire to identify learning-oriented group interactions in PBL Med Teach 2005 27 375 381 16024424
- Wigfield A Eccles JS Expectancy-value theory of achievement motivation Contemp Educ Psychol 2000 25 68 81 10620382
- Zuur A Ieno E Walker N Saveliev A Smith G Mixed Effects Models and Extensions in Ecology with R 2009 New York Springer
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Baissane, O. (2026) · Journal of Information Technology Education: Innovations in Practice · doi:10.28945/5704
“After completing the post - test, all participants responded to a 16 - item questionnaire adapted from Wiggins et al. (2017), which assessed learners ’ engagement and perceptions of the instructional approach using a five -point Likert scale ( T able 2).”
- Authors
- Wiggins, B. L., Eddy, S. L., Wener-Fligner, L., Freisem, K., Grunspan, D. Z., Theobald, E. J., Timbrook, J., & Crowe, A. J.
- Affiliations
- University of Washington (US)
- Florida International University (US)
- Arizona State University (US)
- University of Nebraska–Lincoln (US)
- Corresponding author
- Crowe, Alison J.
- ORCID
- Venue
- CBE—Life Sciences Education
- Published
- 2017-06
- Volume
- 16
- Issue
- 2
- Pages
- ar32
- ISSN
- 1931-7913 (ISSN-L)
- PMC
- PMC5459250
- OpenAlex
- W2613004058
- Cited by
- 125
- References
- 9
- Citations by year
- 2026: 6 · 2025: 17 · 2024: 20 · 2023: 12 · 2022: 16 · 2021: 18 · 2020: 19 · 2019: 12 · 2018: 3 · 2017: 2
- FWCI
- 35.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- CBE—Life Sciences Education (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Florida International University Digital Commons (Florida International University) (submittedVersion, cc-by-nc-sa)
- Lincoln (University of Nebraska) (submittedVersion)
- Funders
- National Science Foundation (1244847)
- University of Washington
- Topics
- Social Sciences › Education › Innovative Teaching Methods
- Social Sciences › Education › Evaluation of Teaching Practices
- Social Sciences › Education › Problem and Project Based Learning
- Keywords
- active learning, student engagement, student perceptions, student experience, peer interaction, introductory biology, student effort, questionnaire development, factor analysis
- MeSH terms
- Biology, Humans, Learning, Perception, Surveys and Questionnaires, Students, Problem-Based Learning
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