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Designing GenAI Tools for Personalized Learning Implementation: Theoretical Analysis and Prototype of a Multi-Agent System

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Title: Designing GenAI Tools for Personalized Learning Implementation: Theoretical Analysis and Prototype of a Multi-Agent System
Language: English
Authors: Ling Zhang (ORCID 0000-0002-9449-6283), Zijun Yao, Arya Hadizadeh Moghaddam
Source: Journal of Teacher Education. 2025 76(3):280-293.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 14
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development, Individualized Instruction, Inclusion, Teaching Methods, Intelligent Tutoring Systems, Instructional Design, Vignettes, Teacher Education Programs, Technological Literacy, Pedagogical Content Knowledge
DOI: 10.1177/00224871251325109
ISSN: 0022-4871
1552-7816
Abstract: Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical complexities and technological constraints. This article provides a theoretical analysis of the complex interconnectedness among these systems guided by the Cultural-Historical Activity Theory (CHAT). Building on the analysis, we introduce CoPL, a multi-agent system consisting of multiple agents with distinct functions that facilitate the complex PL design and engage pre-service teachers (PSTs) in dynamic conversations while prompting them to reflect on the inclusivity of agent-generated instructional suggestions. We describe the affordances and limitations of the system as a professional learning tool for PSTs to develop competencies for designing inclusive PL to meet diverse learning needs of all learners. Finally, we discuss future research on refining CoPL and its practical applications.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1469402
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Ling+Zhang%22">Ling Zhang</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9449-6283">0000-0002-9449-6283</externalLink>)<br /><searchLink fieldCode="AR" term="%22Zijun+Yao%22">Zijun Yao</searchLink><br /><searchLink fieldCode="AR" term="%22Arya+Hadizadeh+Moghaddam%22">Arya Hadizadeh Moghaddam</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Teacher+Education%22"><i>Journal of Teacher Education</i></searchLink>. 2025 76(3):280-293.
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
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  Data: Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical complexities and technological constraints. This article provides a theoretical analysis of the complex interconnectedness among these systems guided by the Cultural-Historical Activity Theory (CHAT). Building on the analysis, we introduce CoPL, a multi-agent system consisting of multiple agents with distinct functions that facilitate the complex PL design and engage pre-service teachers (PSTs) in dynamic conversations while prompting them to reflect on the inclusivity of agent-generated instructional suggestions. We describe the affordances and limitations of the system as a professional learning tool for PSTs to develop competencies for designing inclusive PL to meet diverse learning needs of all learners. Finally, we discuss future research on refining CoPL and its practical applications.
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        Value: 10.1177/00224871251325109
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        Type: general
      – SubjectFull: Computer Software
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      – SubjectFull: Technology Integration
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      – SubjectFull: Intelligent Tutoring Systems
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      – SubjectFull: Pedagogical Content Knowledge
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      – TitleFull: Designing GenAI Tools for Personalized Learning Implementation: Theoretical Analysis and Prototype of a Multi-Agent System
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