A framework for inclusive AI learning design for diverse learners
As artificial intelligence (AI) becomes more prominent in children's lives, an increasing number of researchers and practitioners underscored the importance of integrating AI as learning content in K-12. Despite the recent efforts in developing AI curricula and guiding frameworks in AI educatio...
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Format: | Article |
Language: | English |
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Elsevier
2024-06-01
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Series: | Computers and Education: Artificial Intelligence |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24000134 |
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author | Yukyeong Song Lauren R. Weisberg Shan Zhang Xiaoyi Tian Kristy Elizabeth Boyer Maya Israel |
author_facet | Yukyeong Song Lauren R. Weisberg Shan Zhang Xiaoyi Tian Kristy Elizabeth Boyer Maya Israel |
author_sort | Yukyeong Song |
collection | DOAJ |
description | As artificial intelligence (AI) becomes more prominent in children's lives, an increasing number of researchers and practitioners underscored the importance of integrating AI as learning content in K-12. Despite the recent efforts in developing AI curricula and guiding frameworks in AI education, the educational opportunities often do not provide equally engaging and inclusive learning experiences for all learners. To promote equality and equity in society and increase competitiveness in the AI workforce, it is essential to broaden participation in AI education. However, the framework that guides teachers and learning designers into inclusive learning design tailored for AI education is lacking. Universal Design for Learning (UDL) provides guidelines for making learning more inclusive across disciplines. Based on the principles of UDL, this paper proposes a framework to guide the design of inclusive AI learning. We conducted a systematic literature review to identify AI learning design-related articles and synthesized them into our proposed framework. Our new framework includes the core component of AI learning content (i.e., five big ideas), anchored by the three UDL principles (the “why,” “what,” and “how” of learning), and six praxes with pedagogical examples of AI education. Alongside this, we present an illustrative example of the application of our proposed framework in the context of a middle school AI summer camp. We hope this paper will guide researchers and practitioners in designing more inclusive AI learning experiences. |
first_indexed | 2024-03-07T19:08:26Z |
format | Article |
id | doaj.art-7fc7a729ec244cc796fb59a49679cf41 |
institution | Directory Open Access Journal |
issn | 2666-920X |
language | English |
last_indexed | 2024-03-07T19:08:26Z |
publishDate | 2024-06-01 |
publisher | Elsevier |
record_format | Article |
series | Computers and Education: Artificial Intelligence |
spelling | doaj.art-7fc7a729ec244cc796fb59a49679cf412024-03-01T05:07:39ZengElsevierComputers and Education: Artificial Intelligence2666-920X2024-06-016100212A framework for inclusive AI learning design for diverse learnersYukyeong Song0Lauren R. Weisberg1Shan Zhang2Xiaoyi Tian3Kristy Elizabeth Boyer4Maya Israel5School of Teaching & Learning, College of Education, University of Florida, Gainesville, FL 32611, USA; Corresponding author.School of Teaching & Learning, College of Education, University of Florida, Gainesville, FL 32611, USASchool of Teaching & Learning, College of Education, University of Florida, Gainesville, FL 32611, USADepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USADepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USASchool of Teaching & Learning, College of Education, University of Florida, Gainesville, FL 32611, USAAs artificial intelligence (AI) becomes more prominent in children's lives, an increasing number of researchers and practitioners underscored the importance of integrating AI as learning content in K-12. Despite the recent efforts in developing AI curricula and guiding frameworks in AI education, the educational opportunities often do not provide equally engaging and inclusive learning experiences for all learners. To promote equality and equity in society and increase competitiveness in the AI workforce, it is essential to broaden participation in AI education. However, the framework that guides teachers and learning designers into inclusive learning design tailored for AI education is lacking. Universal Design for Learning (UDL) provides guidelines for making learning more inclusive across disciplines. Based on the principles of UDL, this paper proposes a framework to guide the design of inclusive AI learning. We conducted a systematic literature review to identify AI learning design-related articles and synthesized them into our proposed framework. Our new framework includes the core component of AI learning content (i.e., five big ideas), anchored by the three UDL principles (the “why,” “what,” and “how” of learning), and six praxes with pedagogical examples of AI education. Alongside this, we present an illustrative example of the application of our proposed framework in the context of a middle school AI summer camp. We hope this paper will guide researchers and practitioners in designing more inclusive AI learning experiences.http://www.sciencedirect.com/science/article/pii/S2666920X24000134K-12 AI educationAI learning designInclusive learning designUniversal Design for Learning (UDL) |
spellingShingle | Yukyeong Song Lauren R. Weisberg Shan Zhang Xiaoyi Tian Kristy Elizabeth Boyer Maya Israel A framework for inclusive AI learning design for diverse learners Computers and Education: Artificial Intelligence K-12 AI education AI learning design Inclusive learning design Universal Design for Learning (UDL) |
title | A framework for inclusive AI learning design for diverse learners |
title_full | A framework for inclusive AI learning design for diverse learners |
title_fullStr | A framework for inclusive AI learning design for diverse learners |
title_full_unstemmed | A framework for inclusive AI learning design for diverse learners |
title_short | A framework for inclusive AI learning design for diverse learners |
title_sort | framework for inclusive ai learning design for diverse learners |
topic | K-12 AI education AI learning design Inclusive learning design Universal Design for Learning (UDL) |
url | http://www.sciencedirect.com/science/article/pii/S2666920X24000134 |
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