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Title:
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APPROACH TO PREDICT STUDENT ENGAGEMENT IN VIDEO LECTURES |
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Author(s):
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Stephan Prettner and Dieter Meiller |
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ISBN:
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978-989-8704-46-7 |
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Editors:
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Piet Kommers, Tomayess Issa, Adriana Backx Noronha Viana, Theodora Issa and Pedro Isaías |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Open Education Resources, Student Engagement, Video Lectures, Quality Assurance, Machine Learning |
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Type:
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Short Paper |
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First Page:
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161 |
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Last Page:
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164 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The purpose of this work is to evaluate the quality of instructional materials in the form of instructional videos in an automated way by its linguistic aspects. The approach is designed to provide teachers with feedback on the expected evaluation of the videos by the students. For this purpose, certain features of the videos are used. Using an existing dataset with ratings, an AI algorithm was trained that can then make an evaluation of new videos. |
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