The 2025 EVERC International Conference concluded with inspiring exchanges among global scholars and educators at NTUST. Centered on “Rethinking Vocational Education in the Age of AI,” the event sparked new ideas across discourse, data, and design. During the roundtable discussions, international scholars and students engaged in lively debates on the challenges and future of AI in vocational education, creating a dynamic and collaborative atmosphere that opened a new chapter for educational innovation and sustainability.
The conference will focus on three interconnected dimensions: conceptual discourse, data-driven insights, and design-oriented implementation. It will bring together scholars, educators, and industry leaders from across the globe to share cutting-edge research and practical case studies, fostering cross-disciplinary and international dialogue. Through these exchanges, the event aims to identify strategies for integrating AI into vocational education, enabling innovation, responsiveness to industry needs, and sustainable growth in the context of global digital transformation.
The conference spans three days. During the first two days, domestic and international experts will share the latest advancements in digital education for vocational education, offering cutting-edge technologies and perspectives. All attendees are welcome to join the roundtable discussions on the first two days for idea exchange and speaker interaction.
On the third day, the award ceremony for vocational education lesson plans will take place.
The third day affternoon features an innovative research presentation competition for vocational education, open to master’s and PhD students.
The concluding highlight of the first two days is the roundtable discussion, which provided participants with the opportunity to engage closely with international scholars, explore key issues in depth, and collectively foster innovative thinking.
We have invited the winners of the vocational education lesson plan competition to share their innovative lesson plans that utilize digital technologies. There will also be a static display of these lesson plans. We believe this event will inspire both teachers and students in attendance to develop creative teaching ideas.
We encourage students to transform their insights from the conference into innovative research proposals. This competition aims to foster creative ideas in vocational education, providing a platform for students to showcase their knowledge and engage in intellectual competition. The goal is to enhance academic research skills and promote creative thinking.
Introduction：
The purpose of this competition is to encourage students to propose solutions to real-world issues encountered in vocational education. The contestants need to propose a solution in conjunction with the six themes specified in this competition.
Six topics of this conference：
1. Adaptive eLearning
2. Educational Robotics
3. STEM and Entrepreneurship
4. Sustainable Employability
5. Innovation for New Education
6. Metaverse Counseling
Eligibility：
Contestants in this competition must be undergraduate, master’s, and doctoral students (including on-job students) from universities and colleges across the country.
Monash University, Australia
Research Area：
Robotics Computer
Vision Machine
Learning Robot
Learning Control systems
Title：
From Lecture Halls to Labs: Insights on AI in Assessment, Learning and Workforce Readiness
North Carolina State University, USA
Research Area：
Data Science
Mathematics Education
Title：
All-campus Data Science and AI Project-based Teaching and Learning
Korea University, Korea
Research Area：
Life-long Development
Vocational Identity
Career Choice
Career Counseling and Development
Title：
Timeless Questions in a Time of Change: Rethinking Vocational Education
National Yunlin University of Science & Technology, Taiwan
Research Area：
Career Psychological Testing and Counseling, Educational Statistics, Multivariate Statistics, Educational Testing and Assessment, Career Development and Planning
Title：
Applying AI-Assisted Technology for Competency Assessment and Development of College Students and Industry Employees
