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Paassen, Benjamin; Hammer, Barbara; Price, Thomas William; Barnes, Tiffany; Gross, Sebastian; Pinkwart, Niels – Journal of Educational Data Mining, 2018
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next. However, engineering such next-step hints manually or via an expert model becomes infeasible if the space of possible states is too large. Therefore, several approaches have emerged to infer next-step hints automatically,…
Descriptors: Intelligent Tutoring Systems, Cues, Educational Technology, Technology Uses in Education
Heckner, Markus; Schworm, Silke; Wolff, Christian – Journal of Educational Technology Systems, 2010
Many current (online) help systems fail because users refuse to use them or, even if they do so, they do not perceive them as helpful. There is an obvious gap between the intentions of the help content authors and the achievement of objectives concerning the perceived usefulness by help users. Problems may be divided into psychological and…
Descriptors: Feedback (Response), Prior Learning, Psychology, Internet
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers

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