Artificial Intelligence in Learning and Development

Éditeurs invités

  • Sehoon Kim, University of Minnesota
  • Alexandre Ardichvili, University of Minnesota
  • Dae Seok Chai, Texas A&M University

Synthèse

This special issue advances scholarship on artificial intelligence's role in learning and development. It publishes conceptual, theoretical, and empirical studies examining how AI transforms formal and informal learning, workforce development, and organizational learning, contributing to human resource development theory and practice.

The issue reconceptualizes AI beyond a technological tool to address how it reshapes the purposes, processes, outcomes, and values of workplace learning. It encourages theory-building, critical examinations, cross-cultural insights, and rigorous methodologies, combining peer-reviewed scholarly papers with selected practice-oriented perspective papers reflecting current organizational AI applications.

Thèmes proposés

  • Theoretical and conceptual frameworks for AI in learning and development
  • Role of HRD professionals and learning staff in AI-enabled systems
  • Effectiveness and impact of AI-driven learning interventions
  • Cross-cultural and international perspectives on AI integration in learning and development
  • AI, ethics, equity, and inclusion in learning and development
  • Practice-oriented perspectives on AI applications and organizational lessons