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Title: Artificial Intelligence and Ambitious Learning Practices
Authors: Hmelo-Silver, Cindy E.
Puntambekar, Sadhana
Glazewski, Krista D.
Lawrence, LuEttaMae
Rummel, Nikol
Aleven, Vincent
Biswas, Gautam
Uttamchandani, Suraj
Saleh, Asmalina
Bae, Haesol
Brush, Thomas
Mott, Bradford
Lester, James
Goss, William
Gnesdilow, Dana
Passonneau, Rebecca
Singh, Purushartha
Kim, ChanMin
Worsley, Marcelo
Keywords: CSCL
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Hmelo-Silver, C. E., Puntambekar, S., Glazewski, K. D., Lawrence, L., Rummel, N., Aleven, V., Biswas, G., Uttamchandani, S., Saleh, A., Bae, H., Brush, T., Mott, B., Lester, J., Goss, W., Gnesdilow, D., Passonneau, R., Singh, P., Kim, C., & Worsley, M. (2022). Artificial intelligence and ambitious learning practices. In Weinberger, A. Chen, W., Hern├índez-Leo, D., & Chen, B. (Eds.), Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 525-532). International Society of the Learning Sciences.
Abstract: This symposium will provide opportunities for discussion about how Artificial Intelligence can support ambitious learning practices in CSCL. To the extent that CSCL can be a lever for educational equitable educational change, AI needs to be able to support the kinds of practices that afford agency to students and teachers. However, AI also brings to the fore the need to consider equity and ethics. This interactive session will provide opportunities to discuss these issues in the context of the examples presented here.
Description: Symposium
Appears in Collections:ISLS Annual Meeting 2022

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