# Innovative strategies for reconstructing medical education through technology: a literature review

**Authors:** Bingxue Li, Guodong Wu, Linxi Shi, Feng Wang, Zhihong Yang

PMC · DOI: 10.3389/fpsyg.2025.1609589 · Frontiers in Psychology · 2025-10-16

## TL;DR

This paper reviews how advanced technologies are transforming medical education by enabling personalized learning and collaboration.

## Contribution

The paper synthesizes the potential of multiple technologies in reshaping medical education through a literature review.

## Key findings

- Technologies like VR, AR, and NLP are enhancing personalized and collaborative learning in medical education.
- Integration of big data and adaptive learning technologies improves educational outcomes.
- Ethical stewardship and data privacy are highlighted as critical considerations in this transformation.

## Abstract

Grounded in educational psychology, the landscape of medical education is experiencing a transformative evolution, catalyzed by the synergistic application of advanced technologies. This review synthesizes the burgeoning potential of neuroscientific research, big data analytics, mobile learning, virtual reality (VR), augmented reality (AR), social network analysis, natural language processing (NLP), physical activity monitoring, experimental economics, and adaptive learning technologies. These innovations are revolutionizing the educational paradigm by enabling personalized learning experiences, enhancing cognitive engagement, and fostering a collaborative ecosystem. The integration of these technologies not only promises to improve educational outcomes but also underscores the critical need for ethical stewardship and data privacy. As we navigate this new educational frontier, the prospects for nurturing a new generation of medical professionals are vast, with the potential to advance the quality and impact of healthcare delivery.

## Full-text entities

- **Diseases:** inflammation (MESH:D007249), SCFE (MESH:D060048), cuff (MESH:D000070636), demyelination (MESH:D003711)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12584108/full.md

## References

62 references — full list in the complete paper: https://tomesphere.com/paper/PMC12584108/full.md

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Source: https://tomesphere.com/paper/PMC12584108