introduction
Monograph
Monograph contents
A list of sections and page ranges. Chapter text is not published on this site.
Front matter
Cover—–—
Publication details2–2
Preface3–5
Foreword6–11
Abstract12–13
Abbreviations and symbols14–15
Contents in the original layout18–30
List of figures31–32
List of tables33–35
Chapter 01
Chapter 1. Paradigm shifts in engineering education and the role of the physics–mathematics core
Chapter 02
Chapter 2. Changing didactic paradigms: from knowledge transfer to model building, design, and collaboration with AI
Chapter 03
Chapter 3. The Russian/Soviet model: regulatory hierarchy, the foundational core, and the transition to Engineering Thinking 4.0
Chapter 04
Chapter 4. The American model: ABET accreditation, outcomes-based education, and learning as an evidence system
Chapter 05
Chapter 5. The European model: the Bologna Process, ECTS/ESG, and engineering quality frameworks in the AI era
Chapter 06
Chapter 6. The Chinese model: New Engineering, the reform governance chain, and redesigning the core for digitalization and AI
Chapter 07
Chapter 7. Rebuilding the physics–mathematics core for Engineering Education 4.0
Chapter 08
Chapter 8. Teaching methods 4.0: designing learning experiences and the role of the teacher
Chapter 09
Chapter 9. Assessment and quality: proving understanding in the age of generative AI
Chapter 10
Chapter 10. An implementation roadmap for Engineering Education 4.0: from pilot to institutionalization
conclusion
Conclusion
Appendices
Appendix A. Research and coding protocol204–205
Appendix B. Artifact templates and evidence package206–207
Appendix C. Physics and mathematics module redesign template208–208
Appendix D. Assessment rubrics and AI-use protocol209–209
Appendix E. Pilot study protocol210–211
Appendix F. Minimum data and visualization catalog212–213
Appendix G. Workload and credit normalization214–216
Appendix H. Completed evidence package example217–219
Appendix I. Pilot data-analysis plan220–223
Appendix J. Codebook and content-analysis matrix for university AI policies224–228
Appendix K. Effectiveness and reproducibility calculation example229–232
Appendix L. Bank of AI-resistant tasks233–235
Appendix M. Governance of Core 4.0 implementation236–239
Appendix N. Core 4.0 teacher competencies240–242
References and bibliography243–269
Colophon—–—