Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Avi Segal"'
Publikováno v:
IEEE Transactions on Learning Technologies. :1-14
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting 'bug-fix-time', the expected duration between when a soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d57674ab8abeccb97b863b8db4099e1
Autor:
Eric Rice, Milind Tambe, Avi Segal, Anthony Fulginiti, Jennifer Wilson, Carl A. Castro, Chyna Hill
Publikováno v:
Journal of the Society for Social Work and Research. 13:327-352
Autor:
Hyunsoo G. Kim, Shay A. Geller, David Karger, Avi Segal, Nicholas Hoernle, Michele M. Igo, Kobi Gal, Kamali Sripathi, Marc T. Facciotti
Publikováno v:
IEEE Transactions on Learning Technologies, vol 14, iss 5
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision t
Autor:
Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Gander, Blanka Palfi, Aleksandra Berditchevskiaia, Francois Grey, Kobi Gal, Avi Segal, Mike Wamsley, Joshua Miller, Dominik Dellermann, Mordechai Haklay, Pietro Michelucci, Jacob Sherson
Publikováno v:
Rafner, J F, Gajdacz, M, Kragh, G, Hjorth, H A, Gander, A, Palfi, B S, Berditchevskiaia, A, Grey, F, Gal, K, Segal, A, Walmsley, M, Miller, J, Dellermann, D, Haklay, M, Michelucci, P & Sherson, J 2022, ' Mapping Citizen Science through the Lens of Human-Centered AI ', Human Computation, vol. 9, no. 1, pp. 66-95 . https://doi.org/10.15346/hc.v9i1.133
Artificial Intelligence (AI) can augment and sometimes even replace human cognition. Inspired by efforts to value human agency alongside productivity, we discuss and categorize the potential of solving Citizen Science (CS) tasks with Hybrid Intellige
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e06d16231a552fffad38920f9cf2796
https://pure.au.dk/ws/files/297375931/133_Article_Text_766_2_10_20221118.pdf
https://pure.au.dk/ws/files/297375931/133_Article_Text_766_2_10_20221118.pdf
Autor:
Eliane Sommerfeld, Avi Segal, J. John Mann, Loona Ben-Dayan, Gil Zalsman, Avi Valevski, Dana Assa, Yael Levy
Publikováno v:
Journal of Psychiatric Research
Background A COVID-19 pandemic-related rise in suicide rates has been predicted due to social isolation, fear, uncertainty, economic turndown and grief. Detecting an increase in suicide rates is difficult in the absence of real-time data. Alternative
Publikováno v:
Conference on Information Technology for Social Good.
Publikováno v:
Conference on Information Technology for Social Good.
This paper studies the use of Reinforcement Learning (RL) policies for optimizing the sequencing of learning materials to maximize learning as measured by expected future student performance. We conduct the training completely offline based on the pu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ab68b922e8a6d90f1d7d0c49d6f90e6
Publikováno v:
Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization.