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As emphasized by the Common Core State Standards (CSSS), interest in modeling in mathematics word problems has been on the rise. However, there is lack of empirical evidence on the relationship of word problem characteristics and modeling performance. This study aims to investigate this relationship using data from a math problem online game. The sample included 166 grade 4-6 players and their performance on 24 items across two booklets. In this analysis, regression was used to investigate the effect of operation step, model type, problem type, keyword implicitness, inconsistency, and reading time on CDM item difficulty. The results found that operation type, problem type, and inconsistency significantly impacted item difficulty. The sequence analysis results provided visualization of student modeling strategies.
Phonraphee Thummaphan, University of Washington - Seattle
Alec Kennedy, University of Washington
Min Li, University of Washington
Zoran Popovic, University of Washington
Robert Duisberg
Roy Szeto, University of Washington - Seattle
Gabriella Gorsky, University of Washington - Seattle