Indexed Captioned Searchable Videos: A Learning Companion for STEM Coursework

详细信息    查看全文

• 作者：Tayfun Tuna ; Jaspal Subhlok ; Lecia BarkerR30
• 关键词：Assessment ; Learning technologies ; Lecture videos ; OCR ; Text segmentation ; Video indexing ; Video search ; Video segmentation
• 刊名：Journal of Science Education and Technology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：26
• 期：1
• 页码：82-99
• 全文大小：
• 刊物类别：Humanities, Social Sciences and Law
• 刊物主题：Science Education; Educational Technology;
• 出版者：Springer Netherlands
• ISSN：1573-1839
• 卷排序：26

文摘

Videos of classroom lectures have proven to be a popular and versatile learning resource. A key shortcoming of the lecture video format is accessing the content of interest hidden in a video. This work meets this challenge with an advanced video framework featuring topical indexing, search, and captioning (ICS videos). Standard optical character recognition (OCR) technology was enhanced with image transformations for extraction of text from video frames to support indexing and search. The images and text on video frames is analyzed to divide lecture videos into topical segments. The ICS video player integrates indexing, search, and captioning in video playback providing instant access to the content of interest. This video framework has been used by more than 70 courses in a variety of STEM disciplines and assessed by more than 4000 students. Results presented from the surveys demonstrate the value of the videos as a learning resource and the role played by videos in a students learning process. Survey results also establish the value of indexing and search features in a video platform for education. This paper reports on the development and evaluation of ICS videos framework and over 5 years of usage experience in several STEM courses.