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Download full textPaquette, Luc; Rowe, Jonathan; Baker, Ryan; Mott, Bradford; Lester, James; DeFalco, Jeanine; Brawner, Keith; Sottilare, Robert; Georgoulas, Vasiliki – International Educational Data Mining Society, 2016
Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…
Descriptors: Models, Affective Behavior, Intelligent Tutoring Systems, Games
Titus, Simone – International Association for Development of the Information Society, 2013
Over the past few years, the virtual landscape of South African higher education institutions has changed as a result of ubiquitous and ever-present technological initiatives that can potentially provide students with a flexible learning space. Within these learning spaces, Web 2.0 tools have transformed educators' pedagogical approaches to…
Descriptors: Web Sites, Web 2.0 Technologies, Undergraduate Study, Electronic Publishing
