Abstract
The Phenomenographically Enhanced Video Analysis (PEV) aims to identify framework conditions and situational aspects of a learning atmosphere in the context of school teaching. The starting point of PEV is always the contextual investigation of contingent teaching sequences with regard to the characteristics of interactions as the basis of a specific learning atmosphere. The method evaluates videotaped lessons in three steps. (1) The video sequences are narrowed down according to the answers to the "Quicktest" (QT), in which the learners are briefly asked about the topic at the end of the teaching unit. In the next step (2), an extended research team reduces the generated video artefacts into a data pool according to a predefined question profile. This forms the core of the final data interpretation and reflection (3). In the final analysis process of the PEV, special attention is paid to the immersion in the video material during the reduction process using the immersion-crystallisation analysis method.
Author Information
Wilfried Swoboda, University College for Teacher Training Vienna, Austria
Rolf Laven, University College for Teacher Training Vienna, Austria
Paper Information
Conference: PCAH2024
Stream: Arts - Teaching and Learning the Arts
This paper is part of the PCAH2024 Conference Proceedings (View)
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To cite this article:
Swoboda W., & Laven R. (2024) Phenomenographic Enhanced Video Analysis ISSN: 2758-0970 The Paris Conference on Arts & Humanities 2024 Official Conference Proceedings (pp. 49-60) https://doi.org/10.22492/issn.2758-0970.2024.5
To link to this article: https://doi.org/10.22492/issn.2758-0970.2024.5
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