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Challenges To Informed Peer Review Matching Algorithms, Matthew Verleger, Heidi Diefes-Dux, Matthew W. Ohland, Mary Besterfield-Sacre, Sean Brophy
Challenges To Informed Peer Review Matching Algorithms, Matthew Verleger, Heidi Diefes-Dux, Matthew W. Ohland, Mary Besterfield-Sacre, Sean Brophy
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Background Peer review is a beneficial pedagogical tool. Despite the abundance of data instructors often have about their students, most peer review matching is by simple random assignment. In fall 2008, a study was conducted to investigate the impact of an informed algorithmic assignment method, called Un‐weighted Overall Need (UON), in a course involving Model‐Eliciting Activities (MEAs). The algorithm showed no statistically significant impact on the MEA Final Response scores. A study was then conducted to examine the assumptions underlying the algorithm.
Purpose (Hypothesis) This research addressed the question: To what extent do the assumptions used in making informed peer …