Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Benjamin A. MacLaren"'
Autor:
Albert T. Corbett, Benjamin A. MacLaren, Michael Eagle, Angela Z. Wagner, John C. Stamper, Aaron P. Mitchell, Bruce M. McLaren, Ryan S. Baker
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319614243
AIED
AIED
Bayesian Knowledge Tracing (BKT) has been employed successfully in intelligent learning environments to individualize curriculum sequencing and help messages. Standard BKT employs four parameters, which are estimated separately for individual knowled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ef9eb5e26a5f085e5347fc2b36b8dee
https://doi.org/10.1007/978-3-319-61425-0_48
https://doi.org/10.1007/978-3-319-61425-0_48
Autor:
Bruce M. McLaren, Benjamin A. MacLaren, Michael Eagle, Angela Z. Wagner, Ryan S. Baker, John C. Stamper, Albert T. Corbett, Aaron P. Mitchell
Publikováno v:
UMAP
This study examines how accurately individual student differences in learning can be predicted from prior student learning activities. Bayesian Knowledge Tracing (BKT) predicts learner performance well and has often been employed to implement cogniti
Autor:
Aaron P. Mitchell, Bruce M. McLaren, Albert T. Corbett, Benjamin A. MacLaren, Michael Eagle, Angela Z. Wagner, John C. Stamper
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783319395821
ITS
ITS
Past studies have shown that Bayesian Knowledge Tracing BKT can predict student performance and implement Cognitive Mastery successfully. Standard BKT individualizes parameter estimates for skills, also referred to as knowledge components KCs, but no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a02ec2e64b6c2374c4feceea98d91dc
https://doi.org/10.1007/978-3-319-39583-8_13
https://doi.org/10.1007/978-3-319-39583-8_13
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
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783540437505
Intelligent Tutoring Systems
Intelligent Tutoring Systems
Research in machine learning is making it possible for instructional developers to perform formative evaluations of different curricula using simulated students (VanLehn, Ohlsson & Nason, 1993). Experiments using simulated students can help clarify i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456bf4e2882b1805fb56d74713f9109d
https://doi.org/10.1007/3-540-47987-2_39
https://doi.org/10.1007/3-540-47987-2_39