Abstract
Evaluating online discussions is a complex task for educators. Information systems may support instructors and course designers to assess the quality of an asynchronous online discussion tool. Interactivity on a human-to-human, human-to-computer or human-to-content level are focal elements of such quality assessment. Nevertheless existing indicators used to measure interactivity oftentimes rely on manual data collection. One major contribution of this paper is an updated overview about indicators which are ready for automatic data collection and processing. Following a design science research approach we introduce measures for a consumer side of interactivity and contrast them with a producer’s perspective. For this purpose we contrast two ratio measures ‘viewed posts prior to a statement’ and ‘viewed posts after a statement’ created by a student. In order to evaluate these indicators, we apply them to Pinio, an innovative asynchronous video discussion tool, used in a virtual seminar.
Keywords
- Online discussion
- asynchronous video discussion
- educational data mining
- interactivity
- higher education
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Rothe, H., Sundermeier, J., Gersch, M. (2014). Analyzing Interactivity in Asynchronous Video Discussions. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences. LCT 2014. Lecture Notes in Computer Science, vol 8523. Springer, Cham. https://doi.org/10.1007/978-3-319-07482-5_22
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DOI: https://doi.org/10.1007/978-3-319-07482-5_22
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