Scopus Journal call for paper: European Journal of Training and Development (Artificial Intelligence in Learning and Development)

This special issue aims to advance future-oriented scholarship on artificial intelligence (AI) in learning and development. It will invite conceptual, theoretical, and empirical studies that examine how AI is reshaping formal and informal learning, workforce development, knowledge sharing, and organizational learning. The issue will prioritize papers that make contributions to HRD theory, research, and practice. In addition, the issue will include a small number of separately labelled practice-oriented perspective papers to capture emerging organizational practices, tools, challenges, and lessons that may not yet be found in traditional scholarly research. Perspective papers will be reviewed by the guest editors.

The special issue will make an original contribution by conceptualizing AI not merely as a technological innovation but as a major HRD issue. Existing discussions often emphasize productivity, tool adoption, and user attitudes and experiences. This issue will move beyond such immediate concerns by asking how AI changes the purposes, processes, outcomes, and values of learning and development in the workplace. It will encourage theory-building, critical inquiries, cross-cultural perspectives, and rigorous methods (quantitative, qualitative, and mixed-methods). A distinctive feature will be the integration of peer-reviewed scholarly papers with selected practice-oriented perspective papers, enabling the issue to make a meaningful academic contribution while incorporating timely evidence from organizational AI practice.

List of Topic Areas

Theoretical and conceptual frameworks for understanding AI in learning and development.
The changing role of HRD professionals, trainers, instructional designers, coaches, managers, and employees in AI-enabled learning systems.
Empirical studies on the effectiveness, adoption, and impact of AI-driven learning interventions in organizational and workforce development contexts.
Cross-cultural and international perspectives on AI integration in learning and development, with attention to contextual, institutional, and cultural factors.
AI, ethics, equity, and inclusion in learning and development.
Practice-oriented perspectives that introduce contemporary AI applications, implementation challenges, emerging tools, organizational lessons, and critical issues in learning and development practice.

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available at: https://mc.manuscriptcentral.com/ejtd

Author guidelines must be strictly followed. Please see: https://www.emeraldgrouppublishing.com/journal/ejtd

Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”.

Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

Journal Information: Scopus journal Q1, H-Index 77