Article 2025

Intelligent tutoring platform for improving psychomotor skills in STEM workforce education: XR enhanced ITP

Interactive Learning Environments
Journal
Abstract

Psychomotor skills are essential in STEM workforce education, enabling learners to transfer theoretical knowledge into practical application and improving job readiness. However, current teaching methods, particularly lab-based group activities, often fail to fully develop these skills, creating gaps between workforce outcomes and industry expectations. To address this challenge, we designed, developed, and evaluated an Intelligent Tutoring Platform (ITP) aimed at enhancing psychomotor skill acquisition in manufacturing and logistics education. The proposed ITP leverages Extended Reality (XR) to provide immersive, adaptive training environment. To systematically design and develop XR enhanced ITP, we propose a structured methodology that integrates the Design Science Research Framework (DSRF) and the Co-Design Process. This methodology ensures the holistic incorporation of psychological principles into skill training during the design process, resulting in a learner-centered, and adaptive system. The proposed platform utilized real-time feedback, step-by-step procedural guidance, and dynamic difficulty adjustments, simulating real-world training scenarios to enhance engagement and skill acquisition. We evaluated the system through two industrial case studies—wood pallet repair and forklift truck driving—using a quasi-experimental pretest–posttest control group design. Results show that learners using XR-enhanced ITP demonstrated greater psychomotor skill acquisition, faster response times, stronger science motivation, and improved self-efficacy compared to traditional lab instruction. These findings highlight the potential of XR-driven platforms to bridge the skills gap and better prepare STEM learners for industry roles. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

Author Keywords

STEM education workforce training co-design process and design science research framework extended reality Intelligent tutoring platform psychomotor skills

Index Keywords

Author Affiliations
Department of Mechanical Engineering, New Mexico Institute of Mining and Technology, Socorro, NM, United States, College of Engineering, Atlanta, GA, United States
College of Engineering, Atlanta, GA, United States, Physical Internet Center, Georgia Institute of Technology, Atlanta, GA, United States
Funding & Acknowledgements
No funding information
References 10 References
1 Applied Assistive Technologies and Informatics for Students with Disabilities, (2024)
2 Adefila, Arinola, Students’ engagement and learning experiences using virtual patient simulation in a computer supported collaborative learning environment, Innovations in Education and Teaching International, 57, 1, pp. 50-61, (2020)
3 Ambrogio, Giuseppina, Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic, Computers and Industrial Engineering, 169, (2022)
4 Ates, Huseyin, Integrating augmented reality into intelligent tutoring systems to enhance science education outcomes, Education and Information Technologies, 30, 4, pp. 4435-4470, (2025)
5 Bandura, Albert, Analysis of self-efficacy theory of behavioral change, Cognitive Therapy and Research, 1, 4, pp. 287-310, (1977)
6 Inted2025 Proceedings, (2025)
7 Proceedings of the Iise Annual Conference Expo, (2024)
8 Information, (2024)
9 Journal of Science Policy Governance, (2018)
10 Birdi, Kamal, The impact of human resource and operational management practices on company productivity: A longitudinal study, Personnel Psychology, 61, 3, pp. 467-501, (2008)
Quick Actions
Full Text via DOI
Citation Metrics
1
Times Cited (Scopus)

References 10
Document Identifiers