Marcelo Worsley
Papers
1
Total Citations
438
H-Index
1
About
Marcelo Worsley is a leading voice in the emerging field of multimodal learning analytics, where he pioneers the use of computational technologies to decode the rich, complex data generated during hands-on, project-based learning. His highly influential 2016 paper, "Multimodal Learning Analytics and Education Data Mining" (438 citations), established a foundational framework for using high-frequency sensors and machine learning to capture and analyze student interactions—from gestures and speech to eye gaze and tool use—as they build robots, write code, or solve engineering challenges. By moving beyond traditional clickstream data, Worsley’s work reveals how learners construct understanding through physical and collaborative activity, offering educators unprecedented insight into the processes behind problem-solving. His contributions have been recognized with multiple best paper awards and have shaped a new generation of research at the intersection of computer science, education, and human-computer interaction. For students and researchers, Worsley’s work is a compelling invitation to rethink how we measure learning in authentic, maker-centered environments.
Research Focus
Key Achievements
Top Papers
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