Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Denis Gillet"'
Publikováno v:
Edutec, Iss 74 (2020)
Social practices are well-known mediators in the adoption of educational innovations during professional learning, as postulated by the Knowledge Appropriation Model (KAM). However, understanding how teachers adopt new pedagogical approaches at scale
Externí odkaz:
https://doaj.org/article/556785c721404b7e86994653c3daf70b
Autor:
Viktoria Pammer-Schindler, Fridolin Wild, Mikhail Fominykh, Tobias Ley, Maria Perifanou, Maria Victoria Soule, Davinia Hernández-Leo, Marco Kalz, Ralf Klamma, Luís Pedro, Carlos Santos, Christian Glahn, Anastasios A. Economides, Antigoni Parmaxi, Ekaterina Prasolova-Førland, Denis Gillet, Katherine Maillet
Publikováno v:
Frontiers in Education, Vol 5 (2020)
Technology enhanced learning (TEL) research connects Learning Sciences, Educational Psychology, and Computer Science, in order to investigate interventions based on digital technologies in education and training settings. In this paper, we argue that
Externí odkaz:
https://doaj.org/article/081e40b712464190a9867762ddd0f77b
Autor:
Maryam Najafian Razavi, Denis Gillet
Publikováno v:
EAI Endorsed Transactions on Security and Safety, Vol 1, Iss 1, Pp 1-19 (2011)
Recent studies have shown that many users struggle to properly manage selective sharing of the diverse information artefacts they deposit in social software tools. Most tools define privacy based on the ‘network of friends’ model, in which all
Externí odkaz:
https://doaj.org/article/b9a030b7f88749eba461d6b84054dab3
Publikováno v:
Modeling, Identification and Control, Vol 24, Iss 3, Pp 159-168 (2003)
This paper presents results from the IST KAII Trial project ReLAX - Remote LAboratory eXperimentation trial (IST 1999-20827), and contributes with a framework for a global remote laboratory experimentation network supported by a new business model. T
Externí odkaz:
https://doaj.org/article/ee9eb06dfcf345f882b7ac6cf6cad074
Publikováno v:
Italian Journal of Educational Technology, Vol 20, Iss 3 (2012)
Questo lavoro introduce STELLAR, la Rete di Eccellenza nel settore del Technology Enhanced Learning (TEL) finanziata nell’ambito del 7° Programma Quadro, ed illustra i suoi obiettivi. Inoltre l’articolo descrive come STELLAR ha affrontato la sfi
Externí odkaz:
https://doaj.org/article/3a1a26f8e4ae4fb485dea12a254e80c8
Autor:
Alessio De Santo, Juan Carlos Farah, Marc Lafuente Martinez, Arielle Moro, Kristoffer Bergram, Aditya Kumar Purohit, Pascal Felber, Denis Gillet, Adrian Holzer
Publikováno v:
IEEE Transactions on Learning Technologies. 15:392-405
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:747-758
Astrobots are robotic artifacts whose swarms are used in astrophysical studies to generate the map of the observable universe. These swarms have to be coordinated with respect to various desired observations. Such coordination\footnote{\z{A coordinat
Autor:
Juan Carlos Farah, Basile Spaenlehauer, María Jesús Rodríguez-Triana, Sandy Ingram, Denis Gillet
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031261893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f38f0741bfdcc2ac17feabef3ec2c7b
https://doi.org/10.1007/978-3-031-26190-9_84
https://doi.org/10.1007/978-3-031-26190-9_84
In this paper, we solve the complete coordination problem of robotic fiber positioners using supervisory control theory. In particular, we model positioners and their behavioral specifications as discrete-event systems by the discretization of their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1314586b13cd32cb7af8b35b205e8761
http://arxiv.org/abs/2210.05013
http://arxiv.org/abs/2210.05013
This paper introduces the emerging field of astrobotics, that is, a recently-established branch of robotics to be of service to astrophysics and observational astronomy. We first describe a modern requirement of dark matter studies, i.e., the generat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233ababf8486cf0c2d25d9a6e841b3c4
http://arxiv.org/abs/2210.02587
http://arxiv.org/abs/2210.02587