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-Norwood; Kathleen McDermott

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

Department of Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	International Collaboration toward Educational Innovation for All
Subtitle of host publication	Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
Editors	Clark Chinn, Edna Tan, Carol Chan, Yael Kali
Publisher	International Society of the Learning Sciences (ISLS)
Pages	1763-1770
Number of pages	8
ISBN (Electronic)	9781737330653
State	Published - 2022
Event	16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan Duration: 6 Jun 2022 → 10 Jun 2022

Publication series

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

Conference

Conference	16th International Conference of the Learning Sciences, ICLS 2022
Country/Territory	Japan
City	Virtual, Online
Period	6/06/22 → 10/06/22

Bibliographical note

Publisher Copyright:
© ISLS.

Cite this

Jiang, S., DesPortes, K., Bergner, Y., Zhang, H., Lee, I., Moore, K., Cheng, Y., Perret, B., Walsh, B., Guggenheim, A., Dalton, B., Forsyth, S., Yeh, T., Akram, B., Yoder, S., Finzer, W., Chao, J., Rosé, C. P., Payne, W., ... McDermott, K. (2022). Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education. In C. Chinn, E. Tan, C. Chan, & Y. Kali (Eds.), International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022 (pp. 1763-1770). (Proceedings of International Conference of the Learning Sciences, ICLS). International Society of the Learning Sciences (ISLS).

Jiang, Shiyan ; DesPortes, Kayla ; Bergner, Yoav et al. / Agents, Models, and Ethics : Importance of Interdisciplinary Explorations in AI Education. International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022. editor / Clark Chinn ; Edna Tan ; Carol Chan ; Yael Kali. International Society of the Learning Sciences (ISLS), 2022. pp. 1763-1770 (Proceedings of International Conference of the Learning Sciences, ICLS).

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

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.",

author = "Shiyan Jiang and Kayla DesPortes and Yoav Bergner and Helen Zhang and Irene Lee and Katherine Moore and Yihong Cheng and Beatriz Perret and Benjamin Walsh and Aaron Guggenheim and Bridget Dalton and Stacey Forsyth and Tom Yeh and Bita Akram and Spencer Yoder and William Finzer and Jie Chao and Ros{\'e}, {Carolyn P.} and William Payne and Francisco Castro-Norwood and Kathleen McDermott",

note = "Publisher Copyright: {\textcopyright} ISLS.; 16th International Conference of the Learning Sciences, ICLS 2022 ; Conference date: 06-06-2022 Through 10-06-2022",

year = "2022",

language = "English",

series = "Proceedings of International Conference of the Learning Sciences, ICLS",

publisher = "International Society of the Learning Sciences (ISLS)",

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Jiang, S, DesPortes, K, Bergner, Y, Zhang, H, Lee, I, Moore, K, Cheng, Y, Perret, B, Walsh, B, Guggenheim, A, Dalton, B, Forsyth, S, Yeh, T, Akram, B, Yoder, S, Finzer, W, Chao, J, Rosé, CP, Payne, W, Castro-Norwood, F & McDermott, K 2022, Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education. in C Chinn, E Tan, C Chan & Y Kali (eds), International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022. Proceedings of International Conference of the Learning Sciences, ICLS, International Society of the Learning Sciences (ISLS), pp. 1763-1770, 16th International Conference of the Learning Sciences, ICLS 2022, Virtual, Online, Japan, 6/06/22.

Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education. / Jiang, Shiyan; DesPortes, Kayla; Bergner, Yoav et al.
International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022. ed. / Clark Chinn; Edna Tan; Carol Chan; Yael Kali. International Society of the Learning Sciences (ISLS), 2022. p. 1763-1770 (Proceedings of International Conference of the Learning Sciences, ICLS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Agents, Models, and Ethics

T2 - 16th International Conference of the Learning Sciences, ICLS 2022

AU - Jiang, Shiyan

AU - DesPortes, Kayla

AU - Bergner, Yoav

AU - Zhang, Helen

AU - Lee, Irene

AU - Moore, Katherine

AU - Cheng, Yihong

AU - Perret, Beatriz

AU - Walsh, Benjamin

AU - Guggenheim, Aaron

AU - Dalton, Bridget

AU - Forsyth, Stacey

AU - Yeh, Tom

AU - Akram, Bita

AU - Yoder, Spencer

AU - Finzer, William

AU - Chao, Jie

AU - Rosé, Carolyn P.

AU - Payne, William

AU - Castro-Norwood, Francisco

AU - McDermott, Kathleen

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:85145774428

T3 - Proceedings of International Conference of the Learning Sciences, ICLS

SP - 1763

EP - 1770

BT - International Collaboration toward Educational Innovation for All

A2 - Chinn, Clark

A2 - Tan, Edna

A2 - Chan, Carol

A2 - Kali, Yael

PB - International Society of the Learning Sciences (ISLS)

Y2 - 6 June 2022 through 10 June 2022

ER -

Jiang S, DesPortes K, Bergner Y, Zhang H, Lee I, Moore K et al. Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education. In Chinn C, Tan E, Chan C, Kali Y, editors, International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022. International Society of the Learning Sciences (ISLS). 2022. p. 1763-1770. (Proceedings of International Conference of the Learning Sciences, ICLS).

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

Abstract

Publication series

Conference

Bibliographical note

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