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Titlebook: Artificial Intelligence in Education; 22nd International C Ido Roll,Danielle McNamara,Vania Dimitrova Conference proceedings 2021 Springer

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Family Caregiving in Aging Populations ways that personal data is harvested and used. This makes it timely to draw on the decades of AIED research towards creating systems and interfaces that enable learners to truly harness and control their learning data. This invited keynote will present a whirlwind tour of my learner modelling resea
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National Symposium on Family Issuess higher-order learning activities such as creating resources, creating solutions, rating the quality of resources, and giving feedback. In response to this trend, this paper proposes an interpretable and open learner model called MA-Elo that capture an abstract representation of a student’s knowled
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Diane S. Lauderdale,Jen-Hao Chencompared and contrasted concerns raised and principles applied. We found that while AIEdK-12 ethics guidelines employed many principles common to non-AIEd policy statements (e.g., transparency), new ethical principles were being engaged including pedagogical appropriateness and children’s rights.
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