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Title: Examining Learning Opportunities for Integrating AI Education in English Language Art Classrooms
Authors: Tatar, Cansu
Jiang, Shiyan
Chao, Jie
Wiedemann, Kenia
Fiacco, James
Finzer, William
Rosé, Carolyn P.
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Tatar, C., Jiang, S., Chao, J., Wiedemann, K., Fiacco, J., Finzer, W., & Rosé, C. P. (2022). Examining learning opportunities for integrating AI education in english language art classrooms. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 2106-2107). International Society of the Learning Sciences.
Abstract: We conducted a co-design study with high school ELA teachers to investigate their perspectives in the integration of a technology-enhanced AI curriculum. The teachers explored the AI and text mining activities and reflected on them from teaching and learning perspectives. The findings of this study suggest that building models with texts positioned ELA teachers as experts in AI teaching and they were empowered to identify existing learning resources and opportunities in ELA classrooms that could be leveraged in integrating AI learning in their classrooms.
Description: Poster
Appears in Collections:ISLS Annual Meeting 2022

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