معرفی
Muhsin Menekse serves as an Associate Professor at Purdue University with a joint appointment between the School of Engineering Education and the Department of Curriculum & Instruction. His academic journey includes a Ph.D. in Curriculum and Instruction (Science Education specialization) from Arizona State University, complemented by advanced degrees in Educational Psychology and Physics from the same institution and Bogazici University.
- Ph.D. in Curriculum and Instruction (Science Education), Arizona State University
- M.A. in Educational Psychology (Measurement and Statistics), Arizona State University
- M.S. in Physics (Teaching specialization), Bogazici University
- B.S. in Physics (Teaching specialization), Bogazici University
Menekse's research centers on engineering and science education with emphasis on student cognition, collaborative learning dynamics, metacognition, and technology-enhanced environments. His work bridges cognitive science with practical classroom applications through tools like CourseMIRROR, which leverages natural language processing to analyze student reflections. Current investigations explore AI-driven scaffolding, reflection quality metrics, and large-scale implementation of mobile learning platforms.
Analysis of his recent publications reveals strong thematic continuity in reflection-based learning technologies, with increasing integration of NLP and AI methodologies since 2020. His work consistently addresses scalability challenges in engineering education while maintaining rigorous experimental designs across diverse classroom settings.
- Seed for Success Excellence in Research Awards (2017-2021)
- William Elgin Wickenden Award for best Journal of Engineering Education article (2014)
- NSF Fellow for Summer Institute in Advanced Research Methods (2021-2024)
- School of Engineering Education Excellence in Undergraduate Teaching Award (2020)
- AAAS scholarship for Next Generation Science Learning Goals workshop (2014)
Menekse mentors doctoral students through dissertation committees while leading the CourseMIRROR project adopted across 15+ institutions including Purdue, University of Pittsburgh, and Bogazici University. His research has secured over $1 million in external funding annually since 2017. The CourseMIRROR platform, developed through collaborative grants, serves as both research instrument and pedagogical tool across engineering, computer science, and physics courses.
His laboratory work focuses on the CourseMIRROR ecosystem, integrating mobile interfaces with NLP pipelines to analyze reflection data from thousands of students. Current initiatives involve large language model applications for sentiment analysis and adaptive scaffolding, with deployments spanning undergraduate engineering courses and middle school STEM classrooms.
