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DOI: https://www.doi.org/10.15219/em107.1688

The article is in the printed version on pages 47-53.

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How to cite

Kolitsky, M. A. (2024). Study pace reveals differences in online learning using R-squared analysis. e-mentor, 5(107), 47-53. https://www.doi.org/10.15219/em107.1688

E-mentor number 5 (107) / 2024

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About the author

Study pace reveals differences in online learning using R-squared analysis

Michael A. Kolitsky

New trends in education

Abstract

Highly-enrolled fully online lectures and laboratory classes in Anatomy and Physiology, and higher-level Histology courses, were used to calculate R-squared values that could be linked to how the study method chosen by students impacted their exam grades. Student performance on major exams containing only T/F and multiple-choice questions exhibited better exam results, as did the R-squared values for those who studied using tiny quizzes at a slow pace rather than those who studied with them at a fast pace, indicating that learning was done using the flashcard method. There was a difference in grade distribution, with a peak in the A category for the slow pace quiz group, to a peak in the B category for the fast pace group. The use of Respondus with Blackboard also permitted video observation of students following the submission of exams, which did not indicate that any major cheating efforts or use of AI had taken place during major exams. The lack of evidence for cheating or AI usage makes the observation of higher R-squared values from the slow-paced quiz method a significant factor in future online course design.

Keywords: retrieval practice, R-squared, Tiny Quizzes, online learning, grade distribution

References

About the author

Author's photo Michael A. Kolitsky
Michael A. Kolitsky

The author has a Ph.D. from Temple University in Philadelphia, PA., and is now retired but teaching online for The University of Texas at El Paso (UTEP). Mike was a tenured professor of Biology at UTEP, and was also appointed Associate Vice President for Instructional Technology overseeing the technology design and faculty training for a new Undergraduate Learning Center. He was the Principal Investigator for a 2.5 million dollar NASA grant to establish an instructional support and training center at UTEP for University and regional K-12 instructors. Mike also received a University of Texas Chancellor's Distinguished Teaching Award at UTEP, and was also awarded a Distinguished Natural Sciences Curriculum Innovation award for his Embryology videodisc and HyperEmbryo courseware from EDUCOM. After leaving UTEP, he was appointed a founding board member for NJEDge.Net, the higher education network for New Jersey, and served as Dean of Academic Computing and Distance Education at Atlantic Cape Community College prior to retirement. He was also a consultant for the Rutgers University Library FIPSE grant to establish the New Jersey Digital Highway, and assisted in the production of several shared content objects (SCOs) with The University of Wisconsin-Madison Academic ADL Co-Lab FIPSE-sponsored effort to support effective online teaching. Mike is currently exploring how 3D laser cutting technology can be used in making audio-responsive tactile templates for learning cell biology and anatomy by blind or visually impaired students.