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Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
Bailey, Matthew; Ifenthaler, Dirk; Gosper, Maree; Kretzschmar, Mandy; Ware, Cheryl – Technology, Knowledge and Learning, 2015
Despite the expansion of online and blended learning, as well as open education, until relatively recently little research has been undertaken on what motivates students to enrol in particular study modes at university level. This project contributes to recent scholarship in the field by exploring the reasons why humanities students choose to…
Descriptors: Performance Factors, Preferences, Intermode Differences, Delivery Systems
Ifenthaler, Dirk; Widanapathirana, Chathuranga – Technology, Knowledge and Learning, 2014
Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…
Descriptors: Data Analysis, Case Studies, Higher Education, Context Effect