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Scaffolded Self-Explanation with Visual Representations Promotes Efficient Learning in Early Algebra
Autor:
Tomohiro Nagashima, Anna N. Bartel, Stephanie Tseng, Nicholas Allan Vest, Elena M Silla, Martha W. Alibali, Vincent Aleven
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43
Although visual representations are generally beneficial for learners, past research also suggests that often only a subset of learners benefits from visual representations. In this work, we designed and evaluated anticipatory diagrammatic self- expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c17fd99da947d9cb59cbfde76edc6022
https://doi.org/10.31219/osf.io/sbwfj
https://doi.org/10.31219/osf.io/sbwfj
