Karen Miel
Social Sciences · Indiana University
Publications
16
Citations
20
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
Karen Miel studies how engineering is taught and learned, spanning from elementary school classrooms through undergraduate courses and the training of faculty who teach engineering. Her work examines how students develop engineering reasoning and identity, including how they make judgments and assumptions when solving problems, and how instructors design and improve their teaching. She also looks at questions of diversity and equity, such as gender differences in how students see themselves as engineers.
After a burst of activity in 2020, publication output has been modest but steady, averaging under two publications per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Engineering Faculty as Instructional Designers
Journal of College Science Teaching · 2026
- A taxonomy of emerging engineering modeling judgment in undergraduate engineering courses
Journal of Engineering Education · 2025
- Emergent Engineering Judgment: Making Assumptions in Engineering Science Homework (Research)
2024
- Pre-Service Faculty Learning Processes and Teaching Approaches
2022 IEEE Frontiers in Education Conference (FIE) · 2022
- Board 110: Work in Progress: Elementary Students’ Disciplinary Talk in a Classroom with an Explicit Engineering Decision-making Scaffold
2020
- “Because I’m Not Always Constantly Getting Everything Right”: Gender Differences in Engineering Identity Formation in Elementary Students
2020 ASEE Virtual Annual Conference Content Access Proceedings · 2020
- Journal of Engineering Education×2
- 2020 ASEE Virtual Annual Conference Content Access Proceedings×2
- 2022 IEEE Frontiers in Education Conference (FIE)×1
- 2021 ASEE Virtual Annual Conference Content Access Proceedings×1
- Journal of Pre-College Engineering Education Research (J-PEER)×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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