Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Linda R. Kauffman"'
Publikováno v:
Journal of Educational Computing Research. 42:219-239
Genetics is a unifying theme of biology that poses a major challenge for students across a wide range of post-secondary institutions, because it entails complex problem solving. This article reports a new intelligent learning environment called the G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2175e1afccd9caf6042ed1937ac0762
https://doi.org/10.2190/ec.42.2.e
https://doi.org/10.2190/ec.42.2.e
Autor:
Benjamin A. MacLaren, Angela Z. Wagner, Aaron P. Mitchell, Linda R. Kauffman, Ryan S. Baker, Albert T. Corbett
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642391118
AIED
AIED
This paper describes two types of Conceptually Grounded Learning Activities designed to foster more robust learning in the Genetics Cognitive Tutor: interleaved worked examples and genetic-process reasoning scaffolds. We report three empirical studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e93c22d3f4730ae0e5b8b3daae95ebc
https://doi.org/10.1007/978-3-642-39112-5_33
https://doi.org/10.1007/978-3-642-39112-5_33
Autor:
Aaron P. Mitchell, Linda R. Kauffman, Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Stephen Giguere, Sujith M. Gowda, Ryan S. Baker
Publikováno v:
User Modeling, Adaptation, and Personalization ISBN: 9783642134692
UMAP
UMAP
Intelligent tutoring systems that utilize Bayesian Knowledge Tracing have achieved the ability to accurately predict student performance not only within the intelligent tutoring system, but on paper post-tests outside of the system Recent work has su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b942e216d30f024a8d995296c48b9b
https://doi.org/10.1007/978-3-642-13470-8_7
https://doi.org/10.1007/978-3-642-13470-8_7