Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Tinne de Laet"'
Publikováno v:
Ubiquity Proceedings, Pp 9-9 (2024)
To contribute to cracking the theoretical AI in education code, interviews with academic advisors at a European university were analysed using a dialogic-relational translation device to develop a sociomaterial framework for building EdTech and AIEd
Externí odkaz:
https://doaj.org/article/2dc7e7313e90486c8a01195ef8624adf
Publikováno v:
Journal of Research in Innovative Teaching & Learning, Vol 10, Iss 2, Pp 94-106 (2018)
Purpose - The purpose of this paper is to draw attention to the potential of “small data” to complement research in learning analytics (LA) and to share some of the insights learned from this approach. Design/methodology/approach - This study dem
Externí odkaz:
https://doaj.org/article/d070c4c9d89b49349ca5f9b5d5a35353
Publikováno v:
Proceedings of the 15th International Conference on Computer Supported Education.
Autor:
Tinne De Laet
Publikováno v:
Advances in Analytics for Learning and Teaching ISBN: 9783031276453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b15a77173902b5d930cde963be41732b
https://doi.org/10.1007/978-3-031-27646-0_4
https://doi.org/10.1007/978-3-031-27646-0_4
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0203931 (2018)
BACKGROUND AND HYPOTHESES:This study is the first to offer an in-depth comparison of elimination testing with the scoring rule of Arnold & Arnold (hereafter referred to as elimination testing with adapted scoring) and negative marking. As such, this
Externí odkaz:
https://doaj.org/article/02afda3ae34d41948e891188f3247380
Autor:
Ana-Gabriela Núñez Avila, Ivan Francisco Silva Feraud, Lizandro Damian Solano-Quinde, Miguel Zuniga-Prieto, Vanessa Echeverria, Tinne De Laet
Publikováno v:
2022 XVII Latin American Conference on Learning Technologies (LACLO).
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0178378 (2017)
This study aimed to improve the automatic probabilistic classification of joint motion gait patterns in children with cerebral palsy by using the expert knowledge available via a recently developed Delphi-consensus study. To this end, this study appl
Externí odkaz:
https://doaj.org/article/11cda2621c3341ef89e3d38e5c72afc0
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169834 (2017)
Experts recently identified 49 joint motion patterns in children with cerebral palsy during a Delphi consensus study. Pattern definitions were therefore the result of subjective expert opinion. The present study aims to provide objective, quantitativ
Externí odkaz:
https://doaj.org/article/f09f54a228e4452a8f94b8df4e72e6cc
Publikováno v:
Sensors, Vol 14, Iss 7, Pp 12533-12559 (2014)
In this paper, we introduce a Bayesian time series model approach for gas concentration estimation using Metal Oxide (MOX) sensors in Open Sampling System (OSS). Our approach focuses on the compensation of the slow response of MOX sensors, while conc
Externí odkaz:
https://doaj.org/article/dbcf33d0c4de42b4ac1bbeaf1da3291b
Autor:
Angela Nieuwenhuys, Eirini Papageorgiou, Todd Pataky, Tinne De Laet, Guy Molenaers, Kaat Desloovere
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0152697 (2016)
AIM:This study aimed at comparing two statistical approaches to analyze the effect of Botulinum Toxin A (BTX-A) treatment on gait in children with a diagnosis of spastic cerebral palsy (CP), based on three-dimensional gait analysis (3DGA) data. Throu
Externí odkaz:
https://doaj.org/article/80425e01dcd2499a9aa9e19ab2de3789