Your new experience awaits. Try the new design now and help us make it even better

CURRICULUM, INSTRUCTION, AND PEDAGOGY article

Front. Educ.

Sec. Digital Education

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1659412

This article is part of the Research TopicGenerative AI Tools in Education and its Governance: Problems and SolutionsView all 17 articles

Research on Curriculum and Instruction in Digital Intelligence Empowered Engineering Education Based on First Principles

Provisionally accepted
Zheng  XiaotaoZheng XiaotaoMa  LinweiMa Linwei*
  • Wuhan Institute of Technology, Wuhan, China

The final, formatted version of the article will be published soon.

Facing the challenges of cultivating complex and innovative engineering talents, this study explores the innovation of engineering education and teaching empowered by digital intelligence based on first principles. By deconstructing the core connotations of education and learning, it emphasizes that university education needs to stimulate students' proactive exploration abilities and metacognitive development while respecting individual differences and implementing tailored teaching. The study finds that the first principles of education (holistic education) and learning (active construction) jointly drive the realization of educational goals through a six-dimensional dialectical unity. To further address the current problems in engineering education, such as insufficient student motivation and insufficient scientific nature of teaching evaluation, the study constructs a four-dimensional implementation path integrating digital intelligence. This includes using big data analysis to understand student learning situations and intelligent agents to achieve smart companion learning, using AI algorithms to recommend resources for personalized learning path planning, using project-led teaching to enhance engineering innovation training, and improving the digital capability development system for teachers to promote the knowledge graph integration of teaching resources. The study shows that digital intelligence technology, by reconstructing the resource supply model and optimizing process evaluation standards, has become a key way to implement first principles teaching strategies. It not only promotes teaching from "experience-driven" to "data-driven" but also supports lifelong capability development through the full life cycle learning portrait. Based on theoretical research, the study also demonstrates the promoting effect of digital intelligence empowerment on students' ability development through the innovative teaching practice of mechanical engineering students in the past three years.

Keywords: First principles, Data-Intelligence Empowerment, Engineering Education, Teaching innovation, artificial intelligence

Received: 04 Jul 2025; Accepted: 29 Sep 2025.

Copyright: © 2025 Xiaotao and Linwei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ma Linwei, maw919@126.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.