Mapping theory to practice: AI-enhanced teaching theories for fostering diverse perspectives in business education

Purpose This paper aims to explore the integration of Generative Artificial Intelligence (GenAI) with established educational theories to enhance business education in diverse classrooms. It demonstrates how GenAI can personalize learning experiences, foster critical thinking and support multicultural classrooms by providing inclusive, culturally relevant content. Design/methodology/approach The study aligns GenAI capabilities with Cognitive Load Theory, Constructivist Learning Theory, Multicultural Education, Sociocultural Theory and Universal Design for Learning. A comprehensive review of literature and theoretical frameworks underpins a novel approach to integrating these theories with GenAI to enhance business education. Findings Integrating GenAI with educational theories can personalize learning, manage cognitive load, foster active and reflective learning, promote cultural inclusivity and support social interaction. Each theory contributes distinct benefits, such as enhancing students’ critical thinking, supporting diverse learning needs and creating dynamic, interactive learning environments. Research limitations/implications While this framework proposes integrating GenAI into business education, it lacks empirical validation. Future research should focus on the long-term effects on student retention and performance, particularly among diverse populations. Comparative studies with traditional teaching methods are needed to assess the benefits and challenges of GenAI-enhanced learning environments. Practical implications Implementing GenAI-driven strategies in business education can create dynamic, responsive learning environments, preparing students for the global marketplace with improved skills in critical thinking and cultural competence. Social implications Incorporating GenAI in business education supports diverse student populations by addressing their specific educational needs and cultural contexts. This approach fosters social equity by providing inclusive learning experiences, helping students from various backgrounds thrive academically and professionally. Originality/value This paper uniquely combines GenAI with multiple educational theories, offering a comprehensive framework for creating culturally responsive and personalized business education. It addresses a gap in the literature by demonstrating how GenAI can align with educational frameworks to support diverse learning environments.

Authors

Publication Details

Journal
Journal of International Education in Business
Published
2025-05-20
DOI
https://doi.org/10.1108/jieb-07-2024-0081
Citations
3
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
6.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping theory to practice: AI-enhanced teaching theories for fostering diverse perspectives in business education

Mine Üçok Hughes, Jeffrey E. Anderson, Carlin A. Nguyen
3 citations
Journal of International Education in Business
Big Data and Business Intelligence
6.85
article

Mapping theory to practice: AI-enhanced teaching theories for fostering diverse perspectives in business education

Mine Üçok Hughes, Jeffrey E. Anderson, Carlin A. Nguyen
article en
3 citations

Abstract

Purpose This paper aims to explore the integration of Generative Artificial Intelligence (GenAI) with established educational theories to enhance business education in diverse classrooms. It demonstrates how GenAI can personalize learning experiences, foster critical thinking and support multicultural classrooms by providing inclusive, culturally relevant content. Design/methodology/approach The study aligns GenAI capabilities with Cognitive Load Theory, Constructivist Learning Theory, Multicultural Education, Sociocultural Theory and Universal Design for Learning. A comprehensive review of literature and theoretical frameworks underpins a novel approach to integrating these theories with GenAI to enhance business education. Findings Integrating GenAI with educational theories can personalize learning, manage cognitive load, foster active and reflective learning, promote cultural inclusivity and support social interaction. Each theory contributes distinct benefits, such as enhancing students’ critical thinking, supporting diverse learning needs and creating dynamic, interactive learning environments. Research limitations/implications While this framework proposes integrating GenAI into business education, it lacks empirical validation. Future research should focus on the long-term effects on student retention and performance, particularly among diverse populations. Comparative studies with traditional teaching methods are needed to assess the benefits and challenges of GenAI-enhanced learning environments. Practical implications Implementing GenAI-driven strategies in business education can create dynamic, responsive learning environments, preparing students for the global marketplace with improved skills in critical thinking and cultural competence. Social implications Incorporating GenAI in business education supports diverse student populations by addressing their specific educational needs and cultural contexts. This approach fosters social equity by providing inclusive learning experiences, helping students from various backgrounds thrive academically and professionally. Originality/value This paper uniquely combines GenAI with multiple educational theories, offering a comprehensive framework for creating culturally responsive and personalized business education. It addresses a gap in the literature by demonstrating how GenAI can align with educational frameworks to support diverse learning environments.

Journal of International Education in Business
Openalex Percentile: Top 4%
Big Data and Business Intelligence
6.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.