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Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements
written by N. Sanjay Rebello, Minh Hoai Nguyen, Yang Wang, Tianlong Zu, John Hutson, and Lester C. Loschky
Research has shown that students' responses to conceptual questions correlate with their eye movements. However, to what extent is it possible to predict whether a particular learner might answer a question correctly by monitoring their eye movements in real time? To answer this question, we used spatial-temporal eye-movement data from about 400 participants, as well as their responses to four conceptual physics questions with diagrams. Half of these data were used as a training set for a machine learning algorithm (MLA) that would predict the correctness of students' responses to these questions. The other half of the data were used as a test set to determine the performance of the MLA in terms of the accuracy of the prediction. We will discuss the results of our study with specific attention to the prediction accuracy of the MLA under different conditions.
Physics Education Research Conference 2018
Part of the PER Conference series
Washington, DC: August 1-2, 2018
Subjects Levels Resource Types
Education - Applied Research
- Technology
Education - Basic Research
- Assessment
- Behavior
- Lower Undergraduate
- Reference Material
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Format:
application/pdf
Mirror:
http://dx.doi.org/10.1119/perc.20…
Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution 3.0 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.2018.pr.Rebello
NSF Number:
1348857
Keyword:
PERC 2018
Record Creator:
Metadata instance created January 21, 2019 by Lyle Barbato
Record Updated:
January 21, 2019 by Lyle Barbato
Last Update
when Cataloged:
December 31, 2018
ComPADRE is beta testing Citation Styles!

Record Link
AIP Format
N. Rebello, M. Nguyen, Y. Wang, T. Zu, J. Hutson, and L. Loschky, presented at the Physics Education Research Conference 2018, Washington, DC, 2018, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032).
AJP/PRST-PER
N. Rebello, M. Nguyen, Y. Wang, T. Zu, J. Hutson, and L. Loschky, Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements, presented at the Physics Education Research Conference 2018, Washington, DC, 2018, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032>.
APA Format
Rebello, N., Nguyen, M., Wang, Y., Zu, T., Hutson, J., & Loschky, L. (2018, August 1-2). Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements. Paper presented at Physics Education Research Conference 2018, Washington, DC. Retrieved April 20, 2019, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032
Chicago Format
Rebello, N, M. Nguyen, Y. Wang, T. Zu, J. Hutson, and L. Loschky. "Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements." Paper presented at the Physics Education Research Conference 2018, Washington, DC, August 1-2, 2018. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032 (accessed 20 April 2019).
MLA Format
Rebello, N. Sanjay, Minh Hoai Nguyen, Yang Wang, Tianlong Zu, John Hutson, and Lester Loschky. "Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements." Physics Education Research Conference 2018. Washington, DC: 2018. of PER Conference. 20 Apr. 2019 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032>.
BibTeX Export Format
@inproceedings{ Author = "N. Sanjay Rebello and Minh Hoai Nguyen and Yang Wang and Tianlong Zu and John Hutson and Lester Loschky", Title = {Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements}, BookTitle = {Physics Education Research Conference 2018}, Address = {Washington, DC}, Series = {PER Conference}, Month = {August 1-2}, Year = {2018} }
Refer Export Format

%A N. Sanjay Rebello
%A Minh Hoai Nguyen
%A Yang Wang
%A Tianlong Zu
%A John Hutson
%A Lester Loschky
%T Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements
%S PER Conference
%D August 1-2 2018
%C Washington, DC
%U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032
%O Physics Education Research Conference 2018
%O August 1-2
%O application/pdf

EndNote Export Format

%0 Conference Proceedings
%A Rebello, N. Sanjay
%A Nguyen, Minh Hoai
%A Wang, Yang
%A Zu, Tianlong
%A Hutson, John
%A Loschky, Lester
%D August 1-2 2018
%T Machine Learning Predicts Responses to Conceptual Questions Using Eye Movements
%B Physics Education Research Conference 2018
%C Washington, DC
%S PER Conference
%8 August 1-2
%U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=14973&DocID=5032


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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.

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