Using Thematic Analysis to Understand Students’ Learning of Soft Skills from Videos

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Abstract

Learning from visual and social media makes a complex area of study and a vital part of understanding the development of 21st century skills. The Active Video Watching (AVW) platform was developed in order to scaffold students’ active learning of soft skills from videos, by encouraging users to engage with the content (e.g. marking important aspects and writing comments). Previous studies of AVW used learning analytics to identify student comments which can be used in “intelligent nudges” for triggering reflection among others who watch the same video. Here, we describe the methodology and reasoning for conducting a qualitative thematic analysis of such comments, with respect to learning presentation skills. Our aim is to uncover additional learning opportunities from the data and how they might be explained within a broader theoretical framework of observational learning. As a basis for discussion, we present a preliminary thematic map of the results and how students’ remarks on good/bad examples in the videos relate to the types of knowledge they gain from it. We suggest several resulting topics for future study.

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APA

Sjödén, B., Dimitrova, V., & Mitrovic, A. (2018). Using Thematic Analysis to Understand Students’ Learning of Soft Skills from Videos. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11082 LNCS, pp. 656–659). Springer Verlag. https://doi.org/10.1007/978-3-319-98572-5_67

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