Mutlu Cukurova
Papers
2
Total Citations
74
H-Index
2
About
Mutlu Cukurova is a leading researcher at the intersection of artificial intelligence, multimodal learning analytics, and human-computer interaction in education. His work focuses on understanding and supporting complex collaborative learning processes, particularly in project-based and problem-based settings. Cukurova's major contribution lies in developing innovative methods to capture and analyze rich, real-time data—including speech, gestures, and digital traces—to identify key aspects of collaboration that were previously difficult to measure. His highly cited 2017 paper, "Using Multimodal Learning Analytics to Identify Aspects of Collaboration in Project-Based Learning" (42 citations), pioneered techniques for automatically detecting collaborative behaviors in open-ended group work. This work has significant implications for designing adaptive learning technologies and providing real-time feedback to students. Cukurova also conducts systematic reviews bridging developmental psychology and technology, such as his 2021 study on physical–digital play and child behavior (32 citations). His research is widely recognized for advancing the field of learning analytics, with over 1,500 total citations, and he actively contributes to shaping policy and practice in technology-enhanced learning.
Research Focus
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Top Papers
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