Augmenting Gifted Education through Artificial Intelligence: A Four-Dimensional Framework for AI Tutoring Integration

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Bibliographic Details
Title: Augmenting Gifted Education through Artificial Intelligence: A Four-Dimensional Framework for AI Tutoring Integration
Language: English
Authors: Josh Ecker (ORCID 0000-0001-5164-5122), Greg Eckert (ORCID 0000-0002-7759-9272), Erin Cummings (ORCID 0009-0004-8063-3699)
Source: Journal of Advanced Academics. 2025 36(4):879-896.
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: 18
Publication Date: 2025
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Gifted Education, Artificial Intelligence, Tutoring, Technology Integration, Individualized Instruction, Learner Engagement
DOI: 10.1177/1932202X251356326
ISSN: 1932-202X
2162-9536
Abstract: This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key dimensions: affect, content, process, and product. The framework addresses persistent challenges in gifted education, including the need for personalized instruction, advanced content delivery, and meaningful mentor relationships. By augmenting traditional gifted programming with AI tutoring, this approach enables more scalable differentiation while supporting student autonomy and engagement. The integration of AI across these dimensions represents a significant advancement in how educators can approach gifted instruction, moving beyond traditional constraints to create dynamic learning environments. Through systematic integration of AI tools across these dimensions, educators can provide more personalized, challenging, and engaging learning experiences that better align with gifted students' accelerated developmental needs in modern educational environments.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1485844
Database: ERIC
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Description
Abstract:This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key dimensions: affect, content, process, and product. The framework addresses persistent challenges in gifted education, including the need for personalized instruction, advanced content delivery, and meaningful mentor relationships. By augmenting traditional gifted programming with AI tutoring, this approach enables more scalable differentiation while supporting student autonomy and engagement. The integration of AI across these dimensions represents a significant advancement in how educators can approach gifted instruction, moving beyond traditional constraints to create dynamic learning environments. Through systematic integration of AI tools across these dimensions, educators can provide more personalized, challenging, and engaging learning experiences that better align with gifted students' accelerated developmental needs in modern educational environments.
ISSN:1932-202X
2162-9536
DOI:10.1177/1932202X251356326