{"title":"A Video Note Taking System to Make Online Video Learning Easier","authors":"Haocheng Han, Yu Sun","doi":"10.5121/csit.2021.110917","DOIUrl":null,"url":null,"abstract":"Recent coronavirus lockdowns have had a significant impact on how students study. As states shut down schools, millions of students are now required to study at home with pre-recorded videos. This, however, proves challenging, as teachers have no way of knowing whether or not students are paying attention to the videos, and students may be easily distracted from important parts of the videos. Currently, there is virtually no research and development of applications revolving specifically around the subject of effectively taking digital notes from videos. This paper introduces the web application we developed for streamlined, video-focused auto-schematic note-taking. We applied our application to school-related video lectures and conducted a qualitative evaluation of the approach. The results show that the tools increase productivity when taking notes from a video, and are more effective and informational than conventional paper notes.","PeriodicalId":72673,"journal":{"name":"Computer science & information technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer science & information technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2021.110917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recent coronavirus lockdowns have had a significant impact on how students study. As states shut down schools, millions of students are now required to study at home with pre-recorded videos. This, however, proves challenging, as teachers have no way of knowing whether or not students are paying attention to the videos, and students may be easily distracted from important parts of the videos. Currently, there is virtually no research and development of applications revolving specifically around the subject of effectively taking digital notes from videos. This paper introduces the web application we developed for streamlined, video-focused auto-schematic note-taking. We applied our application to school-related video lectures and conducted a qualitative evaluation of the approach. The results show that the tools increase productivity when taking notes from a video, and are more effective and informational than conventional paper notes.