Biography
Dr. Edwin Marte Zorrilla is an Instructional Assistant Professor in the Department of Engineering Education at the University of Florida. His research lies at the intersection of educational technology, physiological and emotional learning metrics, and culturally responsive pedagogy. His doctoral work investigated the relationship between academic performance and both subjective and physiological stress indicators during engineering exams, using multimodal sensing and advanced data analytics. His broader research agenda incorporates tools such as electrodermal activity monitoring, salivary biomarkers, and natural language processing to deepen understanding of the student experience in STEM education. As an educator, Dr. Marte Zorrilla is deeply committed to inclusive, experiential, and application-oriented engineering instruction. At the University of Florida, he has recently taught courses such as Engineering Design and Society and Computer Programming for Engineers, which emphasize real-world problem-solving, interdisciplinary collaboration, and equitable access to technology. He has designed and led workshops on embedded machine learning, digital design, and quantitative analysis.
Research Interests
- Exploration of motivation and learning pathways in STEM education
- Computational and Technology-Enhanced Engineering Education
- Learning Analytics with Multimodal Data
- Emerging Learning Technologies in STEM
- Computer Science Education
- Artificial Intelligence in Education
Education
- B.S. Electronics Engineering, 1998, PUCMM
- M.S. Educational Technology, 2016, UTESA
- M.S. Electrical and Computer Engineering, 2022, University of Florida
- Ph.D. Engineering Education, 2023, University of Florida
Publications
Recent publications include the design and validation of smart tutoring systems that leverage AI—such as ChatGPT—to personalize engineering education. Dr. Marte Zorrilla has also examined students’ emotional responses to the hidden curriculum using natural language processing and investigated the academic and psychological challenges experienced by engineering students during the COVID-19 pandemic.
See full list on Google Scholar.