Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education

Shiyan Jiang, Kayla DesPortes, Yoav Bergner, Helen Zhang, Irene Lee, Katherine Moore, Yihong Cheng, Beatriz Perret, Benjamin Walsh, Aaron Guggenheim, Bridget Dalton, Stacey Forsyth, Tom Yeh, Bita Akram, Spencer Yoder, William Finzer, Jie Chao, Carolyn P. Rosé, William Payne, Francisco Castro-NorwoodKathleen McDermott

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial Intelligence (AI) is proliferating in both visible and invisible ways across our society. It is imperative for our new generation to gain a fundamental understanding of how intelligence is created, applied, and also its potential to perpetuate biases and unfairness. Because of the nature of AI, it is important that we take an interdisciplinary approach in order to ground the systems and models in real and meaningful contexts for learner exploration. This symposium explores these approaches with a multi-disciplinary group of researchers presenting empirical studies on designing and studying AI learning environments. These studies provide unique insights towards design recommendations, challenges, and opportunities in the rapidly emerging area of study in K-12 education.

Original languageEnglish
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
EditorsClark Chinn, Edna Tan, Carol Chan, Yael Kali
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1763-1770
Number of pages8
ISBN (Electronic)9781737330653
StatePublished - 2022
Event16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan
Duration: 6 Jun 202210 Jun 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference16th International Conference of the Learning Sciences, ICLS 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/06/2210/06/22

Bibliographical note

Publisher Copyright:
© ISLS.

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