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Institut du management de l'information
Organisation mère
Site web
Courriel
Téléphone
0327181370
Rue
A.L. Breguet 2
Code postal
2000
Ville
Neuchâtel
Pays
CH
Type d'institution
Academic Institute
Identifiants
242 Résultats
Voici les éléments 1 - 10 sur 242
- PublicationMétadonnées seulement
- PublicationMétadonnées seulementExtraction intelligente de connaissances axée sur les processus dans le cadre du renseignement criminel(2012-5-13)
;Grossrieder, Lionel; ; ;Ribaux, OlivierIoset, Sylvain - PublicationAccès libreBlending Digital and Face-to-face Interaction using a Co-located Social Media App in the Classroom(2018-10-1)
;Govaerts, Sten; ; ;Vozniuk, Andrii ;Garbinato, BenoîtGillet, Denis - PublicationMétadonnées seulement
- PublicationMétadonnées seulementCreativity, collaboration, communication and reflection on new curriculum: changes and points of view of teacher educators(2014-11-25)
; We studied the implications of the introduction of a new curriculum in Western Switzerland public schools in 2011. We analyze the degree of difficulty of teacher trainers with the main propositions of the Plan d’Etude Romand (PER) that is at present the new curriculum in French speaking part of Switzerland (West). We compare the degree of difficulties of teacher trainers, measured by means of a Likert scale, for a series of components, requirements and aspects of the PER. Furthermore, we consider three groups of teacher trainers, depending on their main function as professionals of education, and we found the degrees of difficulties depend on the characteristics and the profile of trainers. - PublicationAccès libreSupporting Green IS through a Framework Predicting Consumption Sustainability Levels of Individuals(2019-12-17)
; In order to encourage individuals to adopt more sustainable behaviors, it is crucial to know their current levels of consumption in specific domains (e.g., mobility) before exposing them to personalized incentives. Although various theoretical models exist, there is currently no technological solution that automatically estimates individual’s consumption sustainability levels. This short paper aims at addressing this gap and presents the design of a framework that enables to estimate these levels based on multiple features (e.g., demographics). It also presents a preliminary validation of a part of the framework through two empirical comparative studies related to the mobility consumption domain. These studies evaluate the performance of six classifiers using a large-scale survey of approximately 3000 representative individuals living in Switzerland. The results highlight that the gradient boosting trees and the multinomial logistic regression models are promising, and accommodation, habits and demographic variables are the most decisive features to estimate mobility behaviors. - PublicationRestriction temporaire