home - login - register

Conference Proceedings Detail Page

A tale of two guessing strategies: interpreting the time students spend solving problems through online log data
written by Matthew W. Guthrie, Tom Zhang, and Zhongzhou Chen
Interpretation of student behavior in online learning platforms based on log data is complicated by not being able to directly observe the learner. In this paper, we attempt to identify data patterns that signal either guessing on assessment problems or disengaging from the task for students while working through homework modules in an introductory physics class by contrasting data from the general student population with those who completed homework modules in controlled, observed environments. We found that abnormally short problem solving attempts that were previously modeled as a single guessing or answer copying behavior actually consisted of two different types of "guessing" behavior: rapid and strategic guessing. Both types were associated with lower levels of self-confidence, but had different distribution among proctored and unproctored student populations. More importantly, the fraction of rapid guessing increased significantly after campus closure due to COVID-19, but the fraction of strategic guessing remained constant.
Physics Education Research Conference 2020
Part of the PER Conference series
Virtual Conference: July 22-23, 2020
Pages 185-190
Subjects Levels Resource Types
Education - Applied Research
- Technology
= Distance Education
= Homework System
Education - Basic Research
- Behavior
- Lower Undergraduate
- Reference Material
= Research study
PER-Central Type Intended Users Ratings
- PER Literature
- Researchers
  • Currently 0.0/5

Want to rate this material?
Login here!


Format:
application/pdf
Mirror:
https://doi.org/10.1119/perc.2020…
Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution 4.0 license. Further distribution of this work must maintain attribution to the published article's author(s), title, proceedings citation, and DOI.
Rights Holder:
American Association of Physics Teachers
DOI:
10.1119/perc.2020.pr.Guthrie
NSF Number:
1845436
Keyword:
PERC 2020
Record Creator:
Metadata instance created August 27, 2020 by Lyle Barbato
Record Updated:
September 1, 2020 by Lyle Barbato
Last Update
when Cataloged:
September 1, 2020
ComPADRE is beta testing Citation Styles!

Record Link
AIP Format
M. Guthrie, T. Zhang, and Z. Chen, presented at the Physics Education Research Conference 2020, Virtual Conference, 2020, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329).
AJP/PRST-PER
M. Guthrie, T. Zhang, and Z. Chen, A tale of two guessing strategies: interpreting the time students spend solving problems through online log data, presented at the Physics Education Research Conference 2020, Virtual Conference, 2020, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329>.
APA Format
Guthrie, M., Zhang, T., & Chen, Z. (2020, July 22-23). A tale of two guessing strategies: interpreting the time students spend solving problems through online log data. Paper presented at Physics Education Research Conference 2020, Virtual Conference. Retrieved October 27, 2020, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329
Chicago Format
Guthrie, M, T. Zhang, and Z. Chen. "A tale of two guessing strategies: interpreting the time students spend solving problems through online log data." Paper presented at the Physics Education Research Conference 2020, Virtual Conference, July 22-23, 2020. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329 (accessed 27 October 2020).
MLA Format
Guthrie, Matthew W., Tom Zhang, and Zhongzhou Chen. "A tale of two guessing strategies: interpreting the time students spend solving problems through online log data." Physics Education Research Conference 2020. Virtual Conference: 2020. 185-190 of PER Conference. 27 Oct. 2020 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329>.
BibTeX Export Format
@inproceedings{ Author = "Matthew W. Guthrie and Tom Zhang and Zhongzhou Chen", Title = {A tale of two guessing strategies: interpreting the time students spend solving problems through online log data}, BookTitle = {Physics Education Research Conference 2020}, Pages = {185-190}, Address = {Virtual Conference}, Series = {PER Conference}, Month = {July 22-23}, Year = {2020} }
Refer Export Format

%A Matthew W. Guthrie
%A Tom Zhang
%A Zhongzhou Chen
%T A tale of two guessing strategies: interpreting the time students spend solving problems through online log data
%S PER Conference
%D July 22-23 2020
%P 185-190
%C Virtual Conference
%U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329
%O Physics Education Research Conference 2020
%O July 22-23
%O application/pdf

EndNote Export Format

%0 Conference Proceedings
%A Guthrie, Matthew W.
%A Zhang, Tom
%A Chen, Zhongzhou
%D July 22-23 2020
%T A tale of two guessing strategies: interpreting the time students spend solving problems through online log data
%B Physics Education Research Conference 2020
%C Virtual Conference
%P 185-190
%S PER Conference
%8 July 22-23
%U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15481&DocID=5329


Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.

Citation Source Information

The AIP Style presented is based on information from the AIP Style Manual.

The AJP/PRST-PER presented is based on the AIP Style with the addition of journal article titles and conference proceeding article titles.

The APA Style presented is based on information from APA Style.org: Electronic References.

The Chicago Style presented is based on information from Examples of Chicago-Style Documentation.

The MLA Style presented is based on information from the MLA FAQ.

A tale of two guessing strategies: interpreting the time students spend solving problems through online log data:


Know of another related resource? Login to relate this resource to it.
Save to my folders

Contribute

Related Materials

Similar Materials