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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
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Xu, Kate M.; Koorn, Petra; de Koning, Björn; Skuballa, Irene T.; Lin, Lijia; Henderikx, Maartje; Marsh, Herbert W.; Sweller, John; Paas, Fred – Journal of Educational Psychology, 2021
Many large-scale, school-based interventions have attempted to improve academic performance through promoting students' growth mindset, defined as the belief that one's intellectual ability can increase with practice and time. However, most have shown weak to no effects. Thus, it is important to examine how growth mindset might affect retention…
Descriptors: Cognitive Ability, Learning Motivation, Learning Processes, Retention (Psychology)
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Katz, Marco; van Bruggen, Jan; Giesbers, Bas; Waterink, Wim; Eshuis, Jannes; Koper, Rob – Educational Technology & Society, 2014
This paper discusses Latent Semantic Analysis (LSA) as a method for the assessment of prior learning. The Accreditation of Prior Learning (APL) is a procedure to offer learners an individualized curriculum based on their prior experiences and knowledge. The placement decisions in this process are based on the analysis of student material by domain…
Descriptors: Semantics, Student Evaluation, Prior Learning, Individualized Instruction
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Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning
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Peeck, J.; And Others – Journal of Educational Psychology, 1982
Mobilizing relevant preexisting knowledge significantly facilitated retention of information inconsistent with prior knowledge but did not affect retention of congruous information. A topically organized passage was not better remembered than a topically disorganized one. (Author/PN)
Descriptors: Foreign Countries, Intermediate Grades, Learning Processes, Multiple Choice Tests
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Schmidt, Henk G.; And Others – Journal of Educational Psychology, 1989
Two experiments assessed the effects of activation of prior knowledge through small-group discussion. College students (n=39) and Dutch secondary school students (n=88) were asked to elaborate on possible explanations of a natural phenomenon. Data suggested that such activation of prior knowledge can be a successful instructional strategy. (SLD)
Descriptors: College Students, Foreign Countries, Higher Education, Knowledge Level
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