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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Psychiatry. Sep 19, 2026; 16(9): 121002
Published online Sep 19, 2026. doi: 10.5498/wjp.121002
Technology-enhanced learning and self-regulated learning: A pathway to enhance medical students’ outcomes
Wei Wu
Wei Wu, School of Clinical Medicine, Yunnan Medical Health College, Kunming 650033, Yunnan Province, China
Author contributions: Wu W conceptualized the review, initially conducted the literature search, and wrote the initial manuscript. The author reviewed and approved the final version of the manuscript.
AI contribution statement: DeepL was used for language polishing. No any other AI tools was used.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Wei Wu, MD, Affiliate Associate Professor, School of Clinical Medicine, Yunnan Medical Health College, No. 296 Haitun Road, Kunming 650033, Yunnan Province, China. wuweiynzyjj@163.com
Received: March 25, 2026
Revised: April 24, 2026
Accepted: June 30, 2026
Published online: September 19, 2026
Processing time: 151 Days and 21.3 Hours
Core Tip

Core Tip: This minireview proposes an integrated model combining technology-enhanced learning and self-regulated learning to improve psychological adaptability and clinical outcomes in medical students. It highlights three pathways, emotional regulation, cognitive optimization, and metacognitive awakening, supported by tools like virtual simulation and learning analytics. The model forms a virtuous cycle: Technical support enhances self-regulation, which boosts learning outcomes and psychological resilience. Challenges and future directions, including generative artificial intelligence, are also discussed.

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