DESIGN OF VIDEO AIDED RETENTION TOOL FOR THE HEALTH CARE PROFESSIONALS IN SELF-DIRECTED VIDEO-BASED LEARNING
| Autor: | Shinobu Hasegawa, Safinoor Sagorika |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
health care professionals (hcps)
lcsh:LC8-6691 Multimedia Video based learning lcsh:Special aspects of education Computer science business.industry video-based learning adaptive learning Video Aided Retention Tool (VART) Video-based Learning Self-directed Learning Adaptive Learning Health Care Professionals (HCPs) computer.software_genre Education Social self-directed learning Health care Autodidacticism Adaptive learning business computer video aided retention tool (vart) Sosyal |
| Zdroj: | Volume: 21, Issue: Special Issue-IODL 121-134 Turkish Online Journal of Distance Education The Turkish Online Journal of Distance Education, Vol 21, Iss Special, Pp 121-134 (2020) |
| ISSN: | 1302-6488 |
| Popis: | Health Care Professionals (HCPs) depend on self-directed learning by watching medical videos. In the traditional video learning system, it is difficult to identify the important videos from the huge data set and to find the essential inside parts of a long video. In addition, it is hard to know learners’ preferences inside the video parts, including duration and repetition of watching. If the system could know the attention and retention process of each learner, it could change the way to show the video. Accordingly, this research proposes to design the Video Aided Retention Tool (VART) system for analyzing video content to improve self-directed video-based learning among HCPs. The VART consists of a combination of video tracking, analyzing, and filtering tools, with the integration of domain model, learners’ model, and e-teaching strategy model to aid in self-directed learning. The proposed VART will pick important videos on a single topic and put automatic indexes to represent the essential parts of video content. It will also track the learner’s ID, content preference, monitor watching duration, and repetition of the content. Using such kind of data, attention, and retention will be determined and filtered reels, recommendations, interactive videos will be provided to the learners. |
| Databáze: | OpenAIRE |
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