Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sujith M. Gowda"'
Publikováno v:
Journal of Education for Students Placed at Risk (JESPAR). 25:28-54
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse schoo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5ef6443dff2fd479b49eadf35103b63
https://doi.org/10.1080/10824669.2019.1670065
https://doi.org/10.1080/10824669.2019.1670065
At-risk prediction and early warning initiatives have become a core part of contemporary practice in American high schools, with the goal of identifying students at-risk of poorer outcomes, determining which factors are associated with these risks, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a911a48a44ac84f9f14a925431db6e42
https://doi.org/10.35542/osf.io/cetxj
https://doi.org/10.35542/osf.io/cetxj
Publikováno v:
British Journal of Educational Technology. 45:487-501
Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2dc048dbf6c68af9350dd2553f9a77f
https://doi.org/10.1111/bjet.12156
https://doi.org/10.1111/bjet.12156
Publikováno v:
Journal of Educational Psychology. 105:946-956
Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9954a31d983f79de4fab8ddbd59964de
https://doi.org/10.1037/a0033216
https://doi.org/10.1037/a0033216
Publikováno v:
International Journal of Artificial Intelligence in Education. 23:50-70
Recent research has extended student modeling to infer not just whether a student knows a skill or set of skills, but also whether the student has achieved robust learning—learning that enables the student to transfer their knowledge and prepares t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fced9e6ae7ca19bf17cd3f1af2138f31
https://doi.org/10.1007/s40593-013-0006-4
https://doi.org/10.1007/s40593-013-0006-4
Publikováno v:
Journal of the Learning Sciences. 22:639-666
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880b239f554072f441951582bbd32868
https://doi.org/10.1080/10508406.2013.836653
https://doi.org/10.1080/10508406.2013.836653
Publikováno v:
ACM SIGKDD Explorations Newsletter. 13:37-44
Many competing models have been proposed in the past decade for predicting student knowledge within educational software. Recent research attempted to combine these models in an effort to improve performance but have yielded inconsistent results. Whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7533121f26ce9f9a13c21996263bdcb6
https://doi.org/10.1145/2207243.2207249
https://doi.org/10.1145/2207243.2207249
Autor:
Maria Ofelia Clarissa Z. San Pedro, Supreeth M. Gowda, Zachary A. Pardos, Sujith M. Gowda, Ryan S. Baker
Publikováno v:
Journal of Learning Analytics; Vol 1 No 1 (2014): Inaugural issue; 107-128
In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1404ec7e4054f98b83a6da0fad5704fd
https://epress.lib.uts.edu.au/journals/index.php/JLA/article/view/3536
https://epress.lib.uts.edu.au/journals/index.php/JLA/article/view/3536
Publikováno v:
User Modeling, Adaptation, and Personalization ISBN: 9783319087856
UMAP
UMAP
The application of educational data mining (EDM) techniques to interactive learning software is increasingly being used to broaden the range of constructs typically incorporated in student models, moving from traditional assessment of student knowled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966cf772a92ab7afab8410a7abbdfb27
https://doi.org/10.1007/978-3-319-08786-3_25
https://doi.org/10.1007/978-3-319-08786-3_25
Autor:
Sujith M. Gowda, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, Zachary A. Pardos, Supreeth M. Gowda
Publikováno v:
LAK
In this paper, we investigate the correspondence between student affect in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year, on a high-stakes mathematics exam. The relationships between affect and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94029af50a532f0495ee1ca519918ad2
https://doi.org/10.1145/2460296.2460320
https://doi.org/10.1145/2460296.2460320