Faculty

Dr. Edwin Marte Zorrilla is an Instructional Assistant Professor and Graduate Program Coordinator in the Department of Engineering Education at the University of Florida. His research sits at the intersection of educational technology, physiological and emotional learning metrics, and culturally responsive pedagogy, using tools such as electrodermal activity monitoring, salivary biomarkers, and natural language processing to understand the student experience in STEM education. His doctoral work examined the relationship between academic performance and stress indicators during engineering exams through multimodal sensing.
As an educator, he has taught Foundations of Engineering Education for the PhD program, Computer Programming for Engineers (MATLAB), and Engineering Design and Society, and currently teaches the Capstone Projects courses for both the master’s in data science and Master’s in Intelligent Systems programs, alongside workshops on embedded machine learning, digital design, and quantitative analysis. As Graduate Program Coordinator, he oversees graduate admissions, advising, and curriculum, working closely with faculty and students to support the graduate program.

Research Interests

• Artificial Intelligence in Education
• Learning Analytics with Multimodal Data
• Computational and Technology-Enhanced Engineering Education
• Exploration of motivation and learning pathways in STEM education
• Emerging Learning Technologies in STEM
• Computer Science Education

Education

• Ph.D. Engineering Education, 2023, University of Florida
• M.S. Electrical and Computer Engineering, 2022, University of Florida
• M.S. Educational Technology, 2016, UTESA
• B.S. Electronics Engineering, 1998, PUCMM

Publications

Dr. Marte Zorrilla’s recent work spans multimodal stress sensing in engineering exams, AI-driven personalized tutoring systems, and natural language processing applied to the hidden curriculum in engineering education. Selected recent publications include:

• Marte Zorrilla, E. (2026). Exploring the relationship between academic performance and subjective and physiological stress measures during an engineering exam. European Journal of Engineering Education, Article 2626383.
• Then, R., Marte Zorrilla, E., Texier, J., & Larrondo-Petrie, M. (2026). Personalized learning in engineering: Validation of an intelligent tutoring system. In Smart Technologies for an All-Electric Society (Vol. 1663, pp. 34–45). Springer, Cham.
• Marte Zorrilla, E., Stubbs, K., Mendoza-Garcia, J., & Then, R. (2025). Enhancing grading efficiency in engineering education through automation on a flipped classroom. 2025 IEEE Frontiers in Education Conference (FIE), Nashville, TN.

See full list on Google Scholar.