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research-article

Building Inclusive and Equitable Artificial Intelligence for Education

Published: 12 April 2023 Publication History

Abstract

Four "who-ristic" questions to ask yourself when designing artificially intelligent educational technologies that will actually benefit people.

References

[1]
Blikstein, P. and Worsley, M. Multimodal learning analytics and educational data mining: Using computational technologies to measure complex learning tasks. Journal of Learning Analytics 3, 2 (2016), 220--238
[2]
Crossley, S. A., and McNamara, D. S. Adaptive Educational Technologies for Literacy Instruction. Routledge, New York, 2017
[3]
Roscoe, R. D. et al. Inclusion and equity as a paradigm shift for artificial intelligence in education. In F. Ouyang, P. Jiao., B. M. McLaren, and A. H. Alavi (Eds.), Artificial Intelligence in STEM Education: The paradigmatic shifts in research, education, and technology. CRC Press, Boca Raton, FL, 2022, 359--374
[4]
Baker, R. S. and Hawn, A. Algorithmic bias in education. International Journal of Artificial Intelligence in Education 32, 4 (2022), 1052--1092
[5]
Roscoe, R. D. and Craig, S. D. A heuristic assessment framework for the design of self-regulated learning technologies. Journal of Formative Design in Learning 6, 2 (2022), 77--94
[6]
Roscoe, R. D., Chiou, E. K., Wooldridge, A. R. Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering. CRC Press, Boca Raton, FL, 2019

Cited By

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  • (2024)Enhancing visual communication design educationJournal of Computational Methods in Sciences and Engineering10.3233/JCM-24747124:4-5(2469-2483)Online publication date: 1-Jan-2024
  • (2024)Toward Asset-based Instruction and Assessment in Artificial Intelligence in EducationInternational Journal of Artificial Intelligence in Education10.1007/s40593-023-00382-xOnline publication date: 16-Jan-2024

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Published In

cover image XRDS: Crossroads, The ACM Magazine for Students
XRDS: Crossroads, The ACM Magazine for Students  Volume 29, Issue 3
Transforming the Future of Education
Spring 2023
60 pages
ISSN:1528-4972
EISSN:1528-4980
DOI:10.1145/3592770
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 April 2023
Published in XRDS Volume 29, Issue 3

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Cited By

View all
  • (2024)Enhancing visual communication design educationJournal of Computational Methods in Sciences and Engineering10.3233/JCM-24747124:4-5(2469-2483)Online publication date: 1-Jan-2024
  • (2024)Toward Asset-based Instruction and Assessment in Artificial Intelligence in EducationInternational Journal of Artificial Intelligence in Education10.1007/s40593-023-00382-xOnline publication date: 16-Jan-2024

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