A Rating Framework for the Quality of Video Explanations

TLDR

More teachers are creating video explanations, yet their effectiveness hinges on instructional quality, and reliable quality measures—especially for preservice teachers—remain scarce. The study aims to develop a reliable measure for assessing the quality of video explanations. The authors derived categories theoretically, then created and applied a coding manual to 36 preservice‑teacher videos. The resulting framework comprises twelve criteria across five categories, offers a reliable quality assessment, and serves as a practical guideline for teachers.

Abstract

Abstract More and more teachers create video explanations for their instruction. Whether or not they are effective for learning depends on the videos’ instructional quality. Reliable measures to assess the quality of video explanations, however, are still rare, especially for videos created by (preservice) teachers. We developed such a measure in a two-step process: First, the categories were theoretically derived. Second, a coding manual was developed and used with 36 videos, which were created by preservice teachers during a university seminar. The resulting framework, which can be used as a coding manual for future research, consists of twelve criteria in five different categories: video content, learner orientation, representation and design, language, and process structure. With this framework, we contribute a reliable measure to evaluate the quality of existing videos. In practice, teachers can also use this measure as a guideline when creating or choosing video explanations for the classroom.