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The present study unpacked the effects of intrinsic and extrinsic motivation on affective mathematics engagement. A structural equation modeling analysis revealed that affective mathematics engagement variables were directly related to motivation variables. In the hypothesized model, attitude and emotion were better explained by extrinsic motivation than intrinsic motivation, while self-acknowledgement and value were better explained by intrinsic motivation than extrinsic motivation. The findings indicated that the hypothesized theoretical model fitted the data. The key outcome for this research was that it is impossible to disentangle students’ mathematical motivation from the complex emotional and cognitive structures.
Yujin Lee, University of North Dakota
Robert M. Capraro, Texas A&M University - College Station
Mary Margaret Capraro, Texas A&M University - College Station
Ali BICER, University of Wyoming