Literatura científica selecionada sobre o tema "Détection d’engagement des élèves"
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Artigos de revistas sobre o assunto "Détection d’engagement des élèves"
Marcotte, Julie, Laurier Fortin, Richard Cloutier, Égide Royer e Diane Marcotte. "Évolution de l’engagement parental auprès des élèves en difficulté de comportement et des élèves ordinaires au début du secondaire". Nouveaux cahiers de la recherche en éducation 8, n.º 2 (31 de julho de 2013): 47–56. http://dx.doi.org/10.7202/1017528ar.
Texto completo da fonteGagnon, Jocelyn, Marielle Tousignant e Denis Martel. "L’engagement d’élèves déficients mentaux pendant des séances d’éducation physique". Articles 16, n.º 2 (19 de novembro de 2009): 273–86. http://dx.doi.org/10.7202/900665ar.
Texto completo da fonteMary, Claudine, e Laurent Theis. "Les élèves à risque dans des situations problèmes statistiques : stratégies de résolution et obstacles cognitifs". Dossier thématique 33, n.º 3 (2 de outubro de 2008): 579–99. http://dx.doi.org/10.7202/018959ar.
Texto completo da fonteLemieux, Amélie, e Rachel Berthiaume. "Sur la notion d’engagement envers la lecture : Constats, angles morts et complexités". NEXUS : Connecting teaching practice and research 3, n.º 1 (8 de dezembro de 2023): 57–72. http://dx.doi.org/10.14428/nexus.v3i1.68443.
Texto completo da fonteBowen, François, Roch Chouinard e Michel Janosz. "Modèle des déterminants des buts de maîtrise chez des élèves du primaire". Articles 30, n.º 1 (30 de novembro de 2005): 49–70. http://dx.doi.org/10.7202/011769ar.
Texto completo da fonteStavridou, Hélène, e Christine Solomonidou. "Représentations et conceptions des élèves grecs par rapport au concept d'équilibre chimique / Greek pupils' representations and conceptions about the chemical equilibrium concept". Didaskalia 16, n.º 1 (2000): 107–34. http://dx.doi.org/10.3406/didas.2000.1089.
Texto completo da fonteFrançais, O., T. Bourouina, G. Lissorgues, L. Rousseau, M. Couty e B. Mercier. "Approche des laboratoires sur puce par l’expérimentation : projet MyLOC". J3eA 18 (2019): 1006. http://dx.doi.org/10.1051/j3ea/20191006.
Texto completo da fonteSeddik, Lahcen. "La communication engageante au service de l’éducation inclusive : Etude expérimentale". ITM Web of Conferences 39 (2021): 04004. http://dx.doi.org/10.1051/itmconf/20213904004.
Texto completo da fonteDicharry-Pomarez, Sandrine, e Magdalena Kohout-Diaz. "L’enseignant spécialisé compris comme sujet chercheur en contexte inclusif". La nouvelle revue - Éducation et société inclusives N° 97, n.º 1 (7 de dezembro de 2023): 45–57. http://dx.doi.org/10.3917/nresi.097.0045.
Texto completo da fonteGauvin, Lucie. "La construction langagière, identitaire et culturelle : un cadre conceptuel pour l’école francophone en milieu minoritaire". Orientations et mise en oeuvre 21, n.º 1-2 (14 de janeiro de 2011): 87–126. http://dx.doi.org/10.7202/045325ar.
Texto completo da fonteTeses / dissertações sobre o assunto "Détection d’engagement des élèves"
Moufidi, Abderrazzaq. "Machine Learning-Based Multimodal integration for Short Utterance-Based Biometrics Identification and Engagement Detection". Electronic Thesis or Diss., Angers, 2024. http://www.theses.fr/2024ANGE0026.
Texto completo da fonteThe rapid advancement and democratization of technology have led to an abundance of sensors. Consequently, the integration of these diverse modalities presents an advantage for numerous real-life applications, such as biometrics recognition and engage ment detection. In the field of multimodality, researchers have developed various fusion ar chitectures, ranging from early, hybrid, to late fusion approaches. However, these architec tures may have limitations involving short utterances and brief video segments, necessi tating a paradigm shift towards the development of multimodal machine learning techniques that promise precision and efficiency for short-duration data analysis. In this thesis, we lean on integration of multimodality to tackle these previous challenges ranging from supervised biometrics identification to unsupervised student engagement detection. This PhD began with the first contribution on the integration of multiscale Wavelet Scattering Transform with x-vectors architecture, through which we enhanced the accuracy of speaker identification in scenarios involving short utterances. Going through multimodality benefits, a late fusion architecture combining lips depth videos and audio signals further improved identification accuracy under short utterances, utilizing an effective and less computational methods to extract spatiotemporal features. In the realm of biometrics challenges, there is the threat emergence of deepfakes. There-fore, we focalized on elaborating a deepfake detection methods based on, shallow learning and a fine-tuned architecture of our previous late fusion architecture applied on RGB lips videos and audios. By employing hand-crafted anomaly detection methods for both audio and visual modalities, the study demonstrated robust detection capabilities across various datasets and conditions, emphasizing the importance of multimodal approaches in countering evolving deepfake techniques. Expanding to educational contexts, the dissertation explores multimodal student engagement detection in classrooms. Using low-cost sensors to capture Heart Rate signals and facial expressions, the study developed a reproducible dataset and pipeline for identifying significant moments, accounting for cultural nuances. The analysis of facial expressions using Vision Transformer (ViT) fused with heart rate signal processing, validated through expert observations, showcased the potential for real-time monitoring to enhance educational outcomes through timely interventions