Session S19b (Monday, 2pm, Wartik 107)

P242: Item Response Theory (IRT) analysis of homework problems from the Online Web-Based Learning (OWL) database

John Moody (University of Georgia, USA)

Item Response Theory (IRT) analysis on general chemistry exams has been used successfully at the University of Georgia (UGA) to identify ten key topics that students have difficulty with, and also to predict the probability of student success. Our new research involves IRT analysis of the Online Web-Based Learning (OWL) homework database. Our goal is to see if the ten key topics identified at UGA are also topics that students nationwide find difficult. The research will also address some of the problems with analyzing homework response data versus exam response data, as well as examining how limiting the number of attempts on homework affects the data. Results and implications  will be discussed.


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