Enregistré dans:
Détails bibliographiques
Auteurs principaux: Dimitriadou, Eleni, Lanitis, Andreas
Format: Recurso digital
Langue:
Publié: Zenodo 2024
Accès en ligne:https://doi.org/10.1007/s10639-024-12931-5
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Table des matières:
  • <p>The body language of an educator during a class can affect student’s level of interest and concentration. As an attempt to assist educators to improve their body language and speaking characteristics, a pilot body language analysis system that assesses the body language of educators was developed. The proposed application makes use of specific biometric features for determining body language quality during class delivery. The aim of the current study is to examine whether the proposed application can contribute to improving the teachers’ body language, whether the application can provide satisfactory feedback related to the teachers’ body language, and whether the use of the application in real classroom conditions is acceptable. As part of this effort the pilot application has been assessed by teachers of primary, secondary and university education. The experimental investigation involved two phases. In the first phase participants delivered a short lecture that was evaluated using the automated body language analysis application. After the lecture participants were informed about the operation of the application and they were presented with the feedback generated by the body language analysis. During the second phase participants delivered a second short lecture. By comparing the body language quality between the two phases, conclusions related to the impact of the application in improving body language were derived. Experimental results demonstrate that the application provides satisfactory feedback, it is acceptable to use the application in real class conditions, and the feedback provided can be used for self-assessment, reflection and improvement regarding educator’s body language.</p> <p>This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.</p>