Faculty Directory
Marcelo Worsley

Assistant Professor of Computer Science

Assistant Professor of Education and Social Policy


2120 Campus Drive
Annenberg Room 332
Evanston, IL 60208

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Marcelo Worsley's Lab


Computer Science

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Ph.D. Learning Sciences, Stanford University, Stanford, CA

M.S. Computer Science, Stanford University, Stanford, CA

B.S. Chemical Engineering, Stanford University, Stanford, CA

B.A. Portuguese Language and Literature, Stanford University, Stanford, CA


Marcelo Worsley is an Assistant Professor in Computer Science and Learning Sciences. He directs the technological innovations for inclusive learning and teaching (tiilt) lab, which aims to develop pedagogical and technological solutions for supporting learning among diverse populations in hands-on, collaborative, environments. More specifically, the goal of his research is to promote equity and advance society's understanding of how students learn in complex learning environments by forging new opportunities for using multimodal technology. The use of multimodal technology is multi-fold. First, the environments that he studies allow students to experience learning across a range of modalities. Second, he uses multimodal signal processing and artificial intelligence to study how student learning is demonstrated across different modalities and time scales. Third, he designs multimodal interfaces that support inclusivity and deepen student learning, while also considering ways to use multimodal data to support student and teacher reflection.

Research Interests

Worsley's work examines technological innovations for supporting inclusive learning and teaching. Specifically he directs the tiilt (Technological Innovations for Inclusive Learning and Teaching) Lab. tiilt aims to improve learning opportunities for students from under-served communities. Our work with technological innovations includes: 1) co-designing activities with teachers and learners; 2) creating interfaces that broaden participation in meaningful learning experience; and 3) tools and analytic techniques for studying and supporting complex learning environments. We position our work as inclusive, in that we endeavor to address historic and contemporary disparities in accessibility, inclusivity and social, racial and economic inequity. Furthermore, we work with teachers, students, community members and parents, in hope of supporting the development of positive learning ecosystems.

Selected Publications

  • Worsley, Marcelo; Bar-El, David, Inclusive Making, Computer Science Education (2022).
  • Gorson, Jamie; Cunningham, Kathryn; Worsley, Marcelo; O'Rourke, Eleanor, Using Electrodermal Activity Measurements to Understand Student Emotions While Programming, Association for Computing Machinery, Inc (2022).
  • Worsley, Marcelo, PE++, Association for Computing Machinery, Inc (2022).
  • Abrahamson, Dor; Worsley, Marcelo; Pardos, Zachary A.; Ou, Lu, Learning analytics of embodied design, International Journal of Child-Computer Interaction (2022).
  • Bodon, Herminio; Worsley, Marcelo; Kumar, Vishesh, Youth Experiences with Authentically Embedded Computer Science in Sport, Association for Computing Machinery, Inc (2022).
  • Turakhia, Dishita G.; Blikstein, Paulo; Holbert, Nathan R.; Worsley, Marcelo; Jacobs, Jennifer; Anderson, Fraser; Gong, Jun; Desportes, Kayla; Mueller, Stefanie, Reimagining Systems for Learning Hands-on Creative and Maker Skills, Association for Computing Machinery (2022).
  • Worsley, Marcelo, Exploring ideation strategies as an opportunity to support and evaluate making, Information and Learning Science 12(3-4):127-146 (2021).
  • Worsley, Marcelo; Martinez-Maldonado, Roberto; D’angelo, Cynthia, A New Era in Multimodal Learning Analytics, Journal of Learning Analytics (2021).