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https://repository.isls.org//handle/1/8978| Title: | Aspiring for Equity: Perspectives From Design of AI Education |
| Authors: | Walsh, Benjamin Dalton, Bridget Forsyth, Stacey Haberl, Ellie Smilack, Jackie Yeh, Tom Zhang, Helen Lee, Irene Lin, Grace C. Kim, Yoon Jeon Stump, Glenda S. Stoiber, Andy Altuwaiyan, Amal Abelson, Hal Klopfer, Eric Breazeal, Cynthia Wilson, Eryka Aliabadi, Roozbeh Tian, Jingxian Carter, James Long, Duri Magerko, Brian Sengupta-Irving, Tesha |
| Keywords: | Learning Sciences |
| Issue Date: | 2022 |
| Publisher: | International Society of the Learning Sciences |
| Citation: | Walsh, B., Dalton, B., Forsyth, S., Haberl, E., Smilack, J., Yeh, T., Zhang, H., Lee, I., Lin, G. C., Kim, Y. J., Stump, G. S., Stoiber, A., Altuwaiyan, A., Abelson, H., Klopfer, E., Breazeal, C., Wilson, E., Aliabadi, R., Tian, J., Carter, J., Long, D., Magerko, B., & Sengupta-Irving, T. (2022). Aspiring for equity: Perspectives from design of AI education. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 1771-1778). International Society of the Learning Sciences. |
| Abstract: | The explosion of Artificial Intelligence (AI) applications along with findings of algorithmic bias toward marginalized populations requires that we redouble our efforts to make AI education equitable to all youth so they can become informed consumers and responsible creators of AI, and can thoughtfully engage with others around equity issues in AI. This symposium focuses on the discussion of five AI literacy programs/projects from across the United States, each attempting to incorporate equity in diverse ways. Together, the five projects explore AI education using multiple pedagogical approaches and learning contexts with unique affordances and constraints. |
| Description: | Symposium |
| URI: | https://dx.doi.org/10.22318/icls2022.1771 https://repository.isls.org//handle/1/8978 |
| Appears in Collections: | ISLS Annual Meeting 2022 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ICLS2022_1771-1778.pdf | 349.75 kB | Adobe PDF | View/Open |
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