Mobile technologies have reshaped the landscape of education and workforce training; however, research on mobile training (m-training) pedagogy remains fragmented and is often conflated with broader mobile learning (m-learning) approaches. This systematic review addresses these issues by delineating m-training as a distinct, skills-oriented approach and by synthesizing recent evidence on research trends, technological modalities, methodologies, targeted skills, and training outcomes. In line with Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, 92 relevant studies from 2014 to 2024 were analyzed. Findings indicate a marked growth in m-training research output since 2017, with a strong focus on applications in medical, engineering, and language education. Scenario-based training emerged as the predominant modality, while the adoption of augmented and virtual reality tools signals new directions in the field. Research methodologies were dominated by design/development, experimental, and mixed-methods studies, with technical skills as the primary training outcome; nevertheless, there is a rising emphasis on soft skills and the integration of multiple competencies. Notably, all studies reported positive impacts on learner proficiency and knowledge acquisition. These results highlight the unique contributions of m-training to digital education, provide actionable insights for practitioners and developers, and identify priorities for future research, particularly in underexplored domains and with emerging technologies.
No takes yet. Share an insight, caveat, or question.
Juera et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: