Artificial Intelligence (AI) is rapidly transforming industries and businesses, revolutionizing the way daily tasks are performed. However, the adoption of AI may have unintended consequences on employee behavior, leading to burnout and decreased motivation for on-the-job learning. To address this issue, adaptive learning (AL) has emerged as a digitally-led learning approach that identifies skill gaps and has the potential to transform how employees learn, retain, and apply new knowledge. To provide employees with an effective learning experience, organizations must offer flexible learning options that allow them to learn according to their preferences and needs, rather than forcing them to learn according to the organization's strategy. This requires organizations to redefine their learning methodologies and align them with employee development goals. Consequently, organizations are seeking to optimize their training programs and help their staff acquire new skills more efficiently. Training courses can be personalized to meet each employee's unique skills, goals, and abilities, thereby promoting job success.

This special issue welcomes original research articles, reviews, and case studies that address the topics of interest listed above. The research methods may include quantitative, qualitative, or mixed-methods approaches.