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This paper presents a hybrid approach to learner modeling into MUSE-Logic, an ITS for logical reasoning learning. A Bayesian network built by experts is first proposed, followed by a model built from data that improves both the Bayesian network struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed3a4aa238ea2e9667fe7796b6d0a6f5
Publikováno v:
IJCNN
Deep learning has been successfully applied to many tasks such as image classification, feature learning, Text classification (sentiments analysis or opinion mining) etc. However, little research has focused on extracting polarity of sentiments expre
Publikováno v:
Adaptive & Adaptable Learning; 2016, p627-631, 5p
Publikováno v:
Symbiotic Interaction: 4th International Workshop, Symbiotic 2015, Berlin, Germany, October 7-8, 2015, Proceedings; 2015, p460-466, 7p
Autor:
D.A, Janeera1 (AUTHOR) dr.janeera@gmail.com, Sasipriya, S.1 (AUTHOR) sasipriyas@skcet.ac.in
Publikováno v:
IETE Journal of Research. Oct2023, Vol. 69 Issue 10, p6888-6901. 14p.
Autor:
Kothari, Arun, Vashishtha, Purvit, Hussien, Nadia Mahmood, Singh, Prabhishek, Diwakar, Manoj, Joshi, Kapil, Kimothi, Sanjeev
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2771 Issue 1, p1-6, 6p
Autor:
Reier Forradellas, Ricardo Francisco1 ricardo.reier@ucavila.es, Náñez Alonso, Sergio Luis1, Jorge-Vazquez, Javier1, Rodriguez, Marcela Laura1
Publikováno v:
Social Sciences (2076-0760). Jan2021, Vol. 10 Issue 1, p4. 1p.
Publikováno v:
Adaptive & Adaptable Learning; 2016, p683-686, 4p
Publikováno v:
Intelligent Tutoring Systems (9783319395821); 2016, p437-552, 116p