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Universities around the world continue to adapt the Learning Assistant (LA) model (Otero et al., 2006; Otero et al., 2010) in an effort to improve student achievement outcomes. In this study, a quasi-experimental, multi-level, matched-pairs design on outcomes of posttest scores and final course grades was used to examine a large LA program at a public university in the southeast U.S. involving multiple disciplines. Impacts varied by courses and subject areas. Findings include mostly null and small negative effects associated with participation in LA-supported courses, with the exception of an intermediate biology course. The results highlight the importance of controlling for possible selection-biases and the need for rigorous effectiveness evidence as LA programs expand into new disciplines.
Carl Westine, University of North Carolina - Charlotte
Presenting Author
Tong Wu, Riverside Insights
Presenting Author
Nianbo Dong, University of North Carolina - Chapel Hill
Non-Presenting Author
Derek Maher, East Carolina University
Non-Presenting Author
Stella Yun Kim, University of North Carolina - Charlotte
Non-Presenting Author