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This study examines the structure of a learning map used for dynamic assessment in grades 3 through high school. Students were assessed on items measuring 307 nodes, a dramatically larger number of skills when compared previous diagnostic assessment analyses. Student response data was used to model mastery probabilities at the node level, and these values were used to make recommendations regarding node-to-node connections in the map as well as node granularity. These findings were shared with content teams to serve as supporting evidence in their decision-making process for map revisions pertaining to the order and size of cognitive skills.
Feng Chen, The University of Kansas
Amy Clark, The University of Kansas
Russell E. Swinburne Romine, The University of Kansas