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Evaluating the Quality of Instructional Videos Using a Data Visualization Tool
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, , , University of Nevada, Reno, United States

Society for Information Technology & Teacher Education International Conference, in Washington, D.C., United States ISBN 978-1-939797-32-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

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Abstract

More and more instructional videos are available online as a source of self-learning. In K-12 schools and universities, instructor-created videos are also widely used, especially in online courses. Those videos are then used directly by students. However, for instructional videos in the public domain, learners choose a video more randomly than selectively. A procedure of quality evaluation is missing before a video lesson can be used by teachers or students. This paper presents the authors' experiences to evaluate instructional videos both from public domain and those created by teacher education students in a western state university. A method of data visualization is used to analyze and present the qualities of the videos with a content analysis software MAXQDA. The software, coding methods, procedures, and tips of quality evaluation will be described with examples.

Citation

Li, W., Liu, L. & Wang, P. (2018). Evaluating the Quality of Instructional Videos Using a Data Visualization Tool. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 963-970). Washington, D.C., United States: Association for the Advancement of Computing in Education (AACE). Retrieved August 11, 2024 from .

© 2018 Association for the Advancement of Computing in Education (AACE)

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