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About

Daniel Spikol is an educational technology researcher whose work sits at the intersection of learning analytics, computer-supported collaborative learning (CSCL), and multimodal data analysis. He is best known for pioneering the application of multimodal learning analytics to understand and assess collaboration in project-based learning environments — work that has garnered over 42 citations and demonstrated how sensor-rich data can illuminate the subtle dynamics of small group interactions that traditional assessments often miss. Spikol has also made meaningful contributions to STEM education, exploring how robotics and hands-on learning experiences can be better supported through data-driven pedagogical tools. More recently, his research has examined how the design of collaborative tasks shapes students' cognitive, metacognitive, and socioemotional interactions within CSCL settings, with a 2025 study attracting 21 citations for its nuanced investigation of secondary school learners. Across his career, Spikol has consistently pushed the field toward richer, more contextualized understandings of collaborative learning, offering educators and researchers practical frameworks for designing and evaluating meaningful group work in technology-enhanced environments.