Yume Menghe Xu

Tufts University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Yume Menghe Xu is an emerging scholar in engineering education, with a focused interest on the integration of generative artificial intelligence (AI) into introductory engineering curricula. Her most cited work, "Re-Design Introductory Engineering Course for Tinkering with Generative AI and the Shifts in Students’ Perceptions of Using AI for Learning" (2024), examines how redesigning foundational engineering courses to include hands-on "tinkering" with generative AI can transform students’ perceptions of AI as a learning tool. This research contributes to the critical conversation on how young engineers form their professional identities and relationships with emerging technologies. While her citation count is currently modest, her work is positioned to influence pedagogical shifts in engineering education, particularly as institutions grapple with the role of AI in learning. Dr. Xu’s research underscores the importance of early exposure to AI in shaping future engineers’ competencies and ethical frameworks, making her a notable voice in the evolving landscape of engineering pedagogy.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Re-Design Introductory Engineering Course for Tinkering with Generative AI and the Shifts in Students’ Perceptions of Using AI for Learning
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tufts University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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