2015
DOI: 10.1007/978-981-287-868-7_56
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An Interactive Video-Based Learning Environment Supporting Learning Analytics: Insights Obtained from Analyzing Learner Activity Data

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Cited by 12 publications
(11 citation statements)
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“…This dataset can then be analyzed using data analysis, datamining (e.g. Kleftodimos & Evangelidis 2016 and visualization techniques. The analysis can take place in order to understand learner viewing behaviors with respect to various parameters, such as the integrated elements (e.g., quiz questions, table of contents), the type of videos used (e.g., instructional videos, documentaries, lectures), and, the educational settings and learning scenarios in which the video learning activities take place.…”
Section: Discussionmentioning
confidence: 99%
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“…This dataset can then be analyzed using data analysis, datamining (e.g. Kleftodimos & Evangelidis 2016 and visualization techniques. The analysis can take place in order to understand learner viewing behaviors with respect to various parameters, such as the integrated elements (e.g., quiz questions, table of contents), the type of videos used (e.g., instructional videos, documentaries, lectures), and, the educational settings and learning scenarios in which the video learning activities take place.…”
Section: Discussionmentioning
confidence: 99%
“…This paper is an extended version of the paper "An Interactive Video-Based Learning Environment Supporting Learning Analytics: Insights Obtained from Analyzing Learner Activity Data" presented in the Workshop: Smart Environments and Analytics on Video-Based Learning, 2nd International Conference on Smart Learning Environments, ICSLE 2015, (Kleftodimos & Evangelidis 2015).…”
Section: Acknowledgmentsmentioning
confidence: 99%
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“…In addition, advanced video repository systems have seen enormous growth (e.g., Khan Academy, Lynda.com, PBS Teachers) through social software tools and the possibilities to enhance videos on them. During the last years we have seen several research studies in interactive and innovative features, such as slide-video separation, annotation, social categorization and navigation, and advanced search, that have become standards for any state of-the-art video-based learning system Kleftodimos & Evangelidis, 2016a;Wachtler & Ebner, 2015). Thus, video-based learning is an emerging field with its elements available in most of the contemporary learning systems.…”
Section: Introductionmentioning
confidence: 99%
“…The evaluation of this in-video navigation feature suggested significant time savings when compared to time-synched anchor points. Kleftodimos and Evangelidis (2016) developed a video-based learning environment using open source tools and open Internet resources that segment the educational videos into topical sections and provided a table of content. These studies suggested that the appropriate segmentation of learning videos is significant in effective in-video navigation.…”
Section: Retrieval Of Educational and Learning Videosmentioning
confidence: 99%