Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10255
Title: Anxiety, Achievement, and Self-Regulated Learning in CueThink
Authors: Andres, J. M. Alexandra L.
Baker, Ryan S.
Hutt, Stephen J.
Mills, Caitlin
Zhang, Jiayi
Rhodes, Sam
DePiro, Allison
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Andres, J. M., Baker, R. S., Hutt, S. J., Mills, C., Zhang, J., Rhodes, S., & DePiro, A. (2023). Anxiety, achievement, and self-regulated learning in CueThink. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 258-265). International Society of the Learning Sciences.
Abstract: The effects of educational anxiety have been observed across multiple disciplines; anxiety negatively influences cognition, self-regulation, performance, and educational outcomes. However, there has been limited research on anxiety within the context of interactive learning environments. In the current research, we expand this by assessing whether and how trait-level anxiety (assessed as a pre- and post-measure in a year-long study) is related to students’ self-regulated learning strategies, behaviors, belief, and achievement in the context of an open-ended math problem-solving platform, called CueThink. Results indicate that anxiety is negatively related to key constructs involving math achievement. Altogether, our findings generally imply that students with higher anxiety may avoid interacting with their stressors, in this case, math content, effectively contributing to poorer outcomes. We discuss our findings within the context of research and pedagogical and system design.
Description: Long Paper
URI: https://doi.org/10.22318/icls2023.737540
https://repository.isls.org//handle/1/10255
Appears in Collections:ISLS Annual Meeting 2023

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