ERIC Number: EJ1024539
Record Type: Journal
Publication Date: 2013
Abstractor: As Provided
Reference Count: 27
Predicting Robust Learning with the Visual Form of the Moment-by-Moment Learning Curve
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M.
Journal of the Learning Sciences, v22 n4 p639-666 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker, Goldstein, & Heffernan, 2010, 2011). Two coders labeled data from students who used an intelligent tutoring system for college genetics. They coded in terms of 7 forms that the moment-by-moment learning curve can take. These labels are correlated to test data on the robustness of students' learning. We find that different visual forms are correlated with very different learning outcomes. This work suggests that analysis of moment-by-moment learning curves may be able to shed light on the implications of students' different patterns of learning over time.
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development, Data Collection, Problem Solving, Learning Modules, Pretests Posttests, Graphs, Predictor Variables, Regression (Statistics), Models, Coding, Undergraduate Students, Evaluation Methods, Genetics, Correlation, Biology
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A
Identifiers - Location: Pennsylvania