Automated Gaze-Based Identification of Students’ Strategies in Histogram Tasks through an Interpretable Mathematical Model and a Machine Learning Algorithm

As a first step toward automatic feedback based on students’ strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students’ gazes. A previous study showed how students’ task-specific strategies can be inferred from their gazes. The research questi...

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Vydané v:	International journal of artificial intelligence in education Ročník 34; číslo 3; s. 931 - 973
Hlavní autori:	Boels, Lonneke, Moreno-Esteva, Enrique Garcia, Bakker, Arthur, Drijvers, Paul
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer New York 01.09.2024 Springer Nature B.V
Predmet:	Algorithms Arithmetic Artificial Intelligence Automation Classification Computer Science Computers and Education Cooperative Learning Data analysis Data science Distance learning Education Educational Researchers Educational Technology Electronic Learning Eye movements Feedback Histograms Identification Learning Processes Literacy Machine learning Mathematical models Mathematics Mathematics Education Motor Reactions Online Courses Online instruction Researchers Short Term Memory Statistical Data Statistics Education Students Supervised learning User Interfaces and Human Computer Interaction Histograms Graphs Computer in education Mathematica Classify Function Problem-solving strategy Eye-tracking
ISSN:	1560-4292, 1560-4306
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