Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses
Open accessAbstract
Informed by cognitive theories of learning, this work examined how students' self-reported study patterns (spacing vs. cramming) corresponded to their engagement with the Learning Management System (LMS) across two years in a large biology course. We specifically focused on how students accessed non-mandatory resources (lecture videos, lecture slides) and considered whether this pattern differed by underrepresented minority (URM) status. Overall, students who self-reported utilizing spacing strategies throughout the course had higher grades than students who reported cramming throughout the course. When examining LMS engagement, only a small percentage of students accessed the lecture videos and lecture slides. Applying a negative binomial regression model to daily counts of click activities, we also found that students who utilized spacing strategies accessed LMS resources more often but not earlier before major deadlines. Moreover, this finding was not different for underrepresented students. Our results provide some initial evidence showing how spacing behaviors correspond to accessing learning resources. However, given the lack of general engagement with LMS resources, our results underscore the value of encouraging students to utilize these resources when studying course material.
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Rodriguez et al. (2019) found that undergraduate biology students who said they used spacing performed better than students with the same academic preparation who did not.
“Rodriguez et al. (2019) surveyed students in an undergraduate biology course and found that students who said they used spacing performed better in the course than students with the same academic preparation who did not.”
From Moving the Needle: Evidence of an Effective Study Strategy Intervention in a Community College Biology Course (2022) · cites this paper as Rodriguez et al. (2019)
The Results section reports that surveyed students who said they maintained spacing throughout the biology course earned higher final grades than those who said they maintained cramming. It does not establish that the groups had the same academic preparation or that the grade comparison accounted for prior preparation. (LLM, conf=0.87)
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Cites
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013) · Psychological Science in the Public Interest · doi:10.1177/1529100612453266 · Cited by 3,138 · see citing works
Distributed practice in verbal recall tasks: A review and quantitative synthesis.
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.3.354 · Cited by 1,888 · cited 1× · see citing works
“One such behavior is spacing, which refers to splitting up study sessions across multiple days, as opposed to ‘cramming’ one’s studying into a single session [1, 2].”
BackgroundThe Critical Importance of Retrieval for Learning
Karpicke, J. D., & Roediger, H. L. (2008) · Science · doi:10.1126/science.1152408 · Cited by 1,791 · cited 1× · see citing works
“One of the reasons that spaced studying benefits learning is that it allows one to forget information [3, 6].”
BackgroundAcademic procrastination: Frequency and cognitive-behavioral correlates.
Solomon, L. J., & Rothblum, E. D. (1984) · Journal of Counseling Psychology · doi:10.1037/0022-0167.31.4.503 · Cited by 1,788 · cited 1× · see citing works
“While cramming may work in the very short term, it is detrimental for meaningful, long-term learning [10, 12].”
BackgroundStudy strategies of college students: Are self-testing and scheduling related to achievement?
Hartwig, M. K., & Dunlosky, J. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-011-0181-y · Cited by 477 · cited 1× · see citing works
“We used a slight modification of a study strategies survey developed for college students [5, 7].”
MethodInstructor and student knowledge of study strategies.
Morehead, K., Rhodes, M. G., & DeLozier, S. (2016) · Memory · doi:10.1080/09658211.2014.1001992 · Cited by 230 · see citing works
Rodriguez, F., Rivas, M. J., Matsumura, L. H., Warschauer, M., & Sato, B. K. (2018) · PLOS ONE · doi:10.1371/journal.pone.0200767 · Cited by 64 · see citing works
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Research works printed but not linked: 4
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- Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth, and Mark Warschauer. 2018. Understanding student procrastination via mixture models. Proceedings of the 11th International Conference on Educational Data Mining (2018), 187-197.
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Vemu, S., Denaro, K., Sato, B. K., & Williams, A. E. (2022) · CBE—Life Sciences Education · doi:10.1187/cbe.21-08-0216 · Cited by 15 · see citing works
“Rodriguez et al. (2019) surveyed students in an undergraduate biology course and found that students who said they used spacing performed better in the course than students with the same academic preparation who did not.”
Self-citation
- Authors
- Rodriguez, F., Yu, R., Park, J., Rivas, M. J., Warschauer, M., & Sato, B. K.
- Affiliations
- University of California, Irvine (US)
- Venue
- Proceedings of the 9th International Conference on Learning Analytics & Knowledge
- Publisher
- ACM
- Published
- 2019-03-04
- Pages
- 456-460
- OpenAlex
- W2915569398
- Cited by
- 20
- References
- 7
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 6 · 2019: 1
- FWCI
- 3.76
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Conference on Learning Analytics and Knowledge (LAK) (publishedVersion)
- Funders
- National Science Foundation (1535300)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Innovations in Educational Methods
- Social Sciences › Education › Online and Blended Learning
- Keywords
- learning analytics, study habits, spacing effect, cramming, clickstream data, lecture slides, underrepresented minority students, biology course, STEM education, student engagement, cognitive learning theory
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