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- W4200216500 abstract "The motivation for this chapter is to show the evolutionary nature from earlier student tracking and 'intelligent tutoring systems' until the current stages of advanced learning analytics. This chapter's added value is its illustration of how learning analytics contributes to learners’ meta-cognitive awareness and how indirectly a teachers’ 'dashboard' allows teachers, parents, and remedial teachers to trace the more subtle cognitive entailments in the student’s mind. The sources for the chosen direction rest upon earlier research into media-support for conceptual learning. This chapter may elicit the discussion on how far technology-driven innovations can bypass the existing repertoire of earlier didactic solutions." @default.
- W4200216500 created "2021-12-31" @default.
- W4200216500 creator A5082300404 @default.
- W4200216500 date "2021-12-05" @default.
- W4200216500 modified "2023-09-23" @default.
- W4200216500 title "Machine Learning for Learning Analytics for Meta-cognitive Support" @default.
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- W4200216500 doi "https://doi.org/10.1007/978-3-030-86316-6_10" @default.
- W4200216500 hasPublicationYear "2021" @default.
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