LabCompass

Muhsin Menekşe

Psychology · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2007Rising activity
Innovative Teaching and Learning MethodsInnovative Teaching MethodsEducational Strategies and EpistemologiesScience Education and PedagogyTeaching and Learning Programming

Publications

90

Citations

1,817

Est. group size

~7

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

Muhsin Menekşe studies how students learn in STEM courses (science, technology, engineering, math), with a focus on emotions like confusion and interest, self-reflection practices, and how natural language processing (NLP) and AI tools such as chatbots can be used to analyze or support student learning. Much of the recent work examines undergraduate engineering and physics courses, using student-written reflections as data to understand engagement and academic performance.

Student reflection and self-regulated learningNLP and AI applications in educationEngineering and physics educationStudent engagement and motivationEmotions in learning (confusion, interest)

Publication output has fluctuated over the past decade but shows a recent increase, with higher yearly counts from 2023-2025 compared to the mid-2010s.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.2/year recently
2017: 3 publications172018: 6 publications182019: 3 publications192020: 16 publications16202021: 4 publications212022: 3 publications222023: 8 publications232024: 14 publications242025: 8 publications252026: 3 publications26
Recent publications
Publishes in
  • Journal of Engineering Education×5
  • 2020 ASEE Virtual Annual Conference Content Access Proceedings×3
  • Review of Education×2
  • European Journal of Engineering Education×2
  • The Journal of Experimental Education×2
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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 20, 2026.

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