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Using natural language processing to predict student problem solving performance
In this work we report on a pilot study where we used machine learning to predict whether students will correctly solve the classic "ballistic pendulum" problem based on an essay written by students elucidating their approach to solving the problem. Specifically, students were asked to describe the "principles, assumptions, and approximations" they used to solve the problem. Student essays were codified using the practices of natural language processing. Essays from two non-consecutive semesters were used for training/validation (N = 1441) and testing (N=1480). The final model used to make predictions was an ensemble classification scheme using random forest, eXtreme Gradient Boosting classifier (XGBoost), and logistic regression as estimators. Our accuracy in predicting students' correctness was around 80% with slightly higher accuracy in identifying students who incorrectly solved the problem and slightly lower in predicting student who correctly solved the problem.
Physics Education Research Conference 2021
Part of the PER Conference series Virtual Conference: August 4-5, 2021 Pages 295-300
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Record Link
<a href="https://www.per-central.org/items/detail.cfm?ID=15767">Munsell, J, N. Rebello, and C. Rebello. "Using natural language processing to predict student problem solving performance." Paper presented at the Physics Education Research Conference 2021, Virtual Conference, August 4-5, 2021.</a>
AIP Format
J. Munsell, N. Rebello, and C. Rebello, , presented at the Physics Education Research Conference 2021, Virtual Conference, 2021, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499).
AJP/PRST-PER
J. Munsell, N. Rebello, and C. Rebello, Using natural language processing to predict student problem solving performance, presented at the Physics Education Research Conference 2021, Virtual Conference, 2021, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499>.
APA Format
Munsell, J., Rebello, N., & Rebello, C. (2021, August 4-5). Using natural language processing to predict student problem solving performance. Paper presented at Physics Education Research Conference 2021, Virtual Conference. Retrieved February 9, 2025, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499
Chicago Format
Munsell, J, N. Rebello, and C. Rebello. "Using natural language processing to predict student problem solving performance." Paper presented at the Physics Education Research Conference 2021, Virtual Conference, August 4-5, 2021. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499 (accessed 9 February 2025).
MLA Format
Munsell, Jeremy, N. Sanjay Rebello, and Carina Rebello. "Using natural language processing to predict student problem solving performance." Physics Education Research Conference 2021. Virtual Conference: 2021. 295-300 of PER Conference. 9 Feb. 2025 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499>.
BibTeX Export Format
@inproceedings{
Author = "Jeremy Munsell and N. Sanjay Rebello and Carina Rebello",
Title = {Using natural language processing to predict student problem solving performance},
BookTitle = {Physics Education Research Conference 2021},
Pages = {295-300},
Address = {Virtual Conference},
Series = {PER Conference},
Month = {August 4-5},
Year = {2021}
}
Refer Export Format
%A Jeremy Munsell %A N. Sanjay Rebello %A Carina Rebello %T Using natural language processing to predict student problem solving performance %S PER Conference %D August 4-5 2021 %P 295-300 %C Virtual Conference %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499 %O Physics Education Research Conference 2021 %O August 4-5 %O application/pdf
EndNote Export Format
%0 Conference Proceedings %A Munsell, Jeremy %A Rebello, N. Sanjay %A Rebello, Carina %D August 4-5 2021 %T Using natural language processing to predict student problem solving performance %B Physics Education Research Conference 2021 %C Virtual Conference %P 295-300 %S PER Conference %8 August 4-5 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15767&DocID=5499 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. Using natural language processing to predict student problem solving performance:Know of another related resource? Login to relate this resource to it. |
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