Syntegrative Entrepreneurship Education for Engineers: AI-Enhanced Module Through Project-Based Learning

The exponential rise in the use of Artificial Intelligence (AI) software has garnered significant attention in the education field, driven by recent advancements and increasing popularity. This transformative technology is reshaping how educators conduct research, transform teaching through innovative curriculum and assessment designs, while also enhancing students' learning experiences and developing their skills and entrepreneurial competencies. This paper introduces the Creative Innovator's Toolkit (CIT) module, an innovative entrepreneurship educational initiative implemented at XJTLU. The module showcases cutting-edge approaches to integrating AI as a complementary tool within the project-based learning pedagogy. It emphasizes the development of AI literacy, alongside fostering critical thinking, teamwork, and a structured, iterative process for coursework. This approach mitigates the risk of over-reliance on AI for generating repetitive content instead of promoting continuous reflection, refinement and meaningful learning. By exploring the potential of AI tools to enhance entrepreneurship education, this study provides valuable insights for educators, students and institutions, seeking to effectively integrate AI into academic settings. It aims to serve as a catalyst for broader discussions on the use of AI and the project-based learning approach in entrepreneurship education for engineers in this evolving field.

Authors

Institutions

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icaie64856.2025.11158234
Citations
2
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Syntegrative Entrepreneurship Education for Engineers: AI-Enhanced Module Through Project-Based Learning

Tong Wu, Bintao Hu, Weize Huang, B.L. Zhang et al.
2 citations
Biomedical and Engineering Education
1.35
article

Syntegrative Entrepreneurship Education for Engineers: AI-Enhanced Module Through Project-Based Learning

Tong Wu, Bintao Hu, Weize Huang, B.L. Zhang, Ying-Tuan Lo
article en
2 citations

Abstract

The exponential rise in the use of Artificial Intelligence (AI) software has garnered significant attention in the education field, driven by recent advancements and increasing popularity. This transformative technology is reshaping how educators conduct research, transform teaching through innovative curriculum and assessment designs, while also enhancing students' learning experiences and developing their skills and entrepreneurial competencies. This paper introduces the Creative Innovator's Toolkit (CIT) module, an innovative entrepreneurship educational initiative implemented at XJTLU. The module showcases cutting-edge approaches to integrating AI as a complementary tool within the project-based learning pedagogy. It emphasizes the development of AI literacy, alongside fostering critical thinking, teamwork, and a structured, iterative process for coursework. This approach mitigates the risk of over-reliance on AI for generating repetitive content instead of promoting continuous reflection, refinement and meaningful learning. By exploring the potential of AI tools to enhance entrepreneurship education, this study provides valuable insights for educators, students and institutions, seeking to effectively integrate AI into academic settings. It aims to serve as a catalyst for broader discussions on the use of AI and the project-based learning approach in entrepreneurship education for engineers in this evolving field.

Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 17%
Biomedical and Engineering Education
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.