Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)

An Exploration of Pathways to Enhancing Educational Adaptability via an AI-Enabled System for Cultivating Process Skills

Authors
Wei Dong1, *, You-wang Dai1
1Dalian University of Science and Technology, Dalian, 116052, China
*Corresponding author. Email: 715296876@qq.com
Corresponding Author
Wei Dong
Available Online 31 May 2026.
DOI
10.2991/978-94-6239-691-3_27How to use a DOI?
Keywords
AI-Enabled; Educational Adaptability; Process Skills; Cognition; Metacognition
Abstract

Grounded in the core tenet of “developing process skills and enhancing professional competence”, an adaptive educational framework for constructing an “AI-Enabled System for Cultivating Process Skills” is introduced in this paper, taking into consideration the transformative impact of AI technology on occupational environments. This framework involves establishing a standardized workflow that seamlessly blends virtual and real-world elements through the integration of digital twin technology. It leverages an AI-assisted cognitive system to conduct personalized skills mapping analysis and fosters the integrated development of critical and algorithmic thinking through human-machine collaborative cognitive and metacognitive skills application and operational training. By harnessing the interplay between emotions and behaviors, it cultivates professional ethos and awareness, explores the developmental trajectories of technical professionals, and establishes an effective learning guidance mechanism. This framework is designed to nurture individuals with both “AI + major” expertise and moral integrity, who are proficient in applying intelligent tools and innovative methodologies while also adhering to the ethical standards of human-machine collaboration, thereby forming a three-dimensional capability structure that aligns with the demands of an intelligent society, encompassing “technical acumen, humanistic empathy, and innovative leadership”. Empirical evidence indicates that this training model significantly enhances students’ skills proficiency and professional qualities, better meeting the employment needs of enterprises.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 May 2026
ISBN
978-94-6239-691-3
ISSN
2667-128X
DOI
10.2991/978-94-6239-691-3_27How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Wei Dong
AU  - You-wang Dai
PY  - 2026
DA  - 2026/05/31
TI  - An Exploration of Pathways to Enhancing Educational Adaptability via an AI-Enabled System for Cultivating Process Skills
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 259
EP  - 267
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_27
DO  - 10.2991/978-94-6239-691-3_27
ID  - Dong2026
ER  -