Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chloé Mercier"'
Autor:
Chloé Mercier
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems
IEEE Transactions on Cognitive and Developmental Systems, 2022, pp.1-1. ⟨10.1109/tcds.2022.3210234⟩
IEEE Transactions on Cognitive and Developmental Systems, 2022, pp.1-1. ⟨10.1109/tcds.2022.3210234⟩
International audience; Our study is set in an educational context: to better teach and assess twenty-first century skills, such as computational thinking or creative problem solving, we propose to formalize a specific activity that involves these co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb69403e30c5ef6e26d757c8c943be53
https://inria.hal.science/hal-03791482/document
https://inria.hal.science/hal-03791482/document
Publikováno v:
KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021
KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam
HAL
KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam
HAL
International audience; Some human cognitive tasks may involve tightly interleaved logical and numerical computations. On the one hand, ontologies allow us to describe symbolic structured knowledge and perform logical inference, providing a rather na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5db2bce79f454533021eadef05240ddf
https://hal.inria.fr/hal-03360307v3/document
https://hal.inria.fr/hal-03360307v3/document
Publikováno v:
ICANN 2021-30th International Conference on Artificial Neural Networks
ICANN 2021-30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava / Virtual, Slovakia
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
ICANN 2021-30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava / Virtual, Slovakia
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
International audience; Complex problem solving involves representing structured knowledge, reasoning and learning, all at once. In this prospective study, we make explicit how a reinforcement learning paradigm can be applied to a symbolic representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7c1ef63e0f31f2eee6340ae34f6c99a
https://inria.hal.science/hal-03327706/file/ICANN21_paper.pdf
https://inria.hal.science/hal-03327706/file/ICANN21_paper.pdf
Publikováno v:
ICDL
IEEE ICDL 2021 – International Conference on Development and Learning 2021
IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China
HAL
IEEE ICDL 2021 – International Conference on Development and Learning 2021
IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China
HAL
International audience; We introduce the idea of a symbolic description of a complex human learning task, in order to contribute to better understand how we learn. The learner is modeled on the basis of knowledge from learning sciences with the contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19309f8ab59f0a06cc3c23865a90fabd
https://doi.org/10.1109/icdl49984.2021.9515660
https://doi.org/10.1109/icdl49984.2021.9515660
Publikováno v:
[Rapport de recherche] RR-9376, Inria. 2020, pp.48
HAL
HAL
The aim of this document is to present the design of an ontology allowing to carry out a modeling of the learner, the task and the observables during a learning activity, in order to develop a model applicable to the observed learning analytics which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6dc993a67d0212bd76304b3ccc270554
https://inria.hal.science/hal-03013685v2/document
https://inria.hal.science/hal-03013685v2/document