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Physical Review Physics Education Research
written by Zhongzhou Chen, Mengyu Xu, Geoffrey Garrido, and Matthew W. Guthrie
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students' pass-fail events in a sequence of online learning modules with their normalized total course score. Each model takes into account an additional level of contextual information than the previous one, such as student learning strategy and duration of assessment attempts. Each of the latter three models is also accompanied by a visual representation of students' interaction states on each learning module. We found that the best performing model is the one that includes the most contextual information, including instruction condition, internal condition, and learning strategy. The model shows that while most students failed on the most challenging learning module, those with normal learning behavior are more likely to obtain higher total course scores, whereas students who resorted to guessing on the assessments of subsequent modules tended to receive lower total scores. Our results suggest that considering more contextual information related to each event can be an effective method to improve the quality of learning analytics, leading to more accurate and actionable recommendations for instructors.
Physical Review Physics Education Research: Volume 16, Issue 1, Pages 010138
Subjects Levels Resource Types
Classical Mechanics
- Work and Energy
Education Foundations
- Achievement
- Research Design & Methodology
= Data
= Validity
Education Practices
- Technology
= Distance Education
General Physics
- Physics Education Research
- Lower Undergraduate
- Reference Material
= Research study
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Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution-Noncommercial 4.0 license.
Rights Holder:
American Physical Society
DOI:
10.1103/PhysRevPhysEducRes.16.010138
NSF Number:
DUE-1845436
Keywords:
Obojobo Learning Modules, contextual data analysis
Record Creator:
Metadata instance created June 15, 2020 by Lyle Barbato
Record Updated:
December 23, 2022 by Caroline Hall
Last Update
when Cataloged:
June 15, 2020
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AIP Format
Z. Chen, M. Xu, G. Garrido, and M. Guthrie, , Phys. Rev. Phys. Educ. Res. 16 (1), 010138 (2020), WWW Document, (https://doi.org/10.1103/PhysRevPhysEducRes.16.010138).
AJP/PRST-PER
Z. Chen, M. Xu, G. Garrido, and M. Guthrie, Relationship between students’ online learning behavior and course performance: What contextual information matters?, Phys. Rev. Phys. Educ. Res. 16 (1), 010138 (2020), <https://doi.org/10.1103/PhysRevPhysEducRes.16.010138>.
APA Format
Chen, Z., Xu, M., Garrido, G., & Guthrie, M. (2020, June 15). Relationship between students’ online learning behavior and course performance: What contextual information matters?. Phys. Rev. Phys. Educ. Res., 16(1), 010138. Retrieved February 27, 2024, from https://doi.org/10.1103/PhysRevPhysEducRes.16.010138
Chicago Format
Chen, Z, M. Xu, G. Garrido, and M. Guthrie. "Relationship between students’ online learning behavior and course performance: What contextual information matters?." Phys. Rev. Phys. Educ. Res. 16, no. 1, (June 15, 2020): 010138, https://doi.org/10.1103/PhysRevPhysEducRes.16.010138 (accessed 27 February 2024).
MLA Format
Chen, Zhongzhou, Mengyu Xu, Geoffrey Garrido, and Matthew W. Guthrie. "Relationship between students’ online learning behavior and course performance: What contextual information matters?." Phys. Rev. Phys. Educ. Res. 16.1 (2020): 010138. 27 Feb. 2024 <https://doi.org/10.1103/PhysRevPhysEducRes.16.010138>.
BibTeX Export Format
@article{ Author = "Zhongzhou Chen and Mengyu Xu and Geoffrey Garrido and Matthew W. Guthrie", Title = {Relationship between students’ online learning behavior and course performance: What contextual information matters?}, Journal = {Phys. Rev. Phys. Educ. Res.}, Volume = {16}, Number = {1}, Pages = {010138}, Month = {June}, Year = {2020} }
Refer Export Format

%A Zhongzhou Chen %A Mengyu Xu %A Geoffrey Garrido %A Matthew W. Guthrie %T Relationship between students' online learning behavior and course performance: What contextual information matters? %J Phys. Rev. Phys. Educ. Res. %V 16 %N 1 %D June 15, 2020 %P 010138 %U https://doi.org/10.1103/PhysRevPhysEducRes.16.010138 %O text/html

EndNote Export Format

%0 Journal Article %A Chen, Zhongzhou %A Xu, Mengyu %A Garrido, Geoffrey %A Guthrie, Matthew W. %D June 15, 2020 %T Relationship between students' online learning behavior and course performance: What contextual information matters? %J Phys. Rev. Phys. Educ. Res. %V 16 %N 1 %P 010138 %8 June 15, 2020 %U https://doi.org/10.1103/PhysRevPhysEducRes.16.010138


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