Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos.
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| Title: | Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos. |
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| Authors: | Akçapınar, Gökhan1, Er, Erkan2, Bayazıt, Alper3 |
| Source: | International Review of Research in Open & Distributed Learning. May2024, Vol. 25 Issue 2, p94-113. 20p. |
| Subject Terms: | *Student engagement, *Online education, *Educational films, Video blogs |
| Abstract: | Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their numerous benefits, there exists a scarcity of data-driven evidence regarding students' use of and engagement with lecture capture videos. Most existing studies rely on self-reported data, lacking comprehensive insights into students' actual video engagement. This research endeavor sought to bridge this gap by investigating university students' engagement patterns while watching lecture capture videos. To achieve this objective, we conducted an analysis of a large-scale dataset comprising over one million rows of video interaction logs. Leveraging clustering and process mining methodologies, we explored the data to reveal valuable insights into students' video engagement behaviors. Our findings indicate that in approximately 60% of students' video-watching sessions, only a small portion of the videos (an average of 7%) is watched. Our results also show that visiting the video page does not necessarily mean that the student watched it. This study may contribute to the existing literature by providing robust data-driven evidence on university students' lecture capture video engagement patterns. It is also expected to contribute methodologically to capturing, preprocessing, and analyzing students' video interactions in different contexts. [ABSTRACT FROM AUTHOR] |
| Copyright of International Review of Research in Open & Distributed Learning is the property of Governors of Athabasca University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 177687939 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Akçapınar%2C+Gökhan%22">Akçapınar, Gökhan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Er%2C+Erkan%22">Er, Erkan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bayazıt%2C+Alper%22">Bayazıt, Alper</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Review+of+Research+in+Open+%26+Distributed+Learning%22">International Review of Research in Open & Distributed Learning</searchLink>. May2024, Vol. 25 Issue 2, p94-113. 20p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br />*<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+films%22">Educational films</searchLink><br /><searchLink fieldCode="DE" term="%22Video+blogs%22">Video blogs</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their numerous benefits, there exists a scarcity of data-driven evidence regarding students' use of and engagement with lecture capture videos. Most existing studies rely on self-reported data, lacking comprehensive insights into students' actual video engagement. This research endeavor sought to bridge this gap by investigating university students' engagement patterns while watching lecture capture videos. To achieve this objective, we conducted an analysis of a large-scale dataset comprising over one million rows of video interaction logs. Leveraging clustering and process mining methodologies, we explored the data to reveal valuable insights into students' video engagement behaviors. Our findings indicate that in approximately 60% of students' video-watching sessions, only a small portion of the videos (an average of 7%) is watched. Our results also show that visiting the video page does not necessarily mean that the student watched it. This study may contribute to the existing literature by providing robust data-driven evidence on university students' lecture capture video engagement patterns. It is also expected to contribute methodologically to capturing, preprocessing, and analyzing students' video interactions in different contexts. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Review of Research in Open & Distributed Learning is the property of Governors of Athabasca University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=177687939 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.19173/irrodl.v25i2.7621 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 94 Subjects: – SubjectFull: Student engagement Type: general – SubjectFull: Online education Type: general – SubjectFull: Educational films Type: general – SubjectFull: Video blogs Type: general Titles: – TitleFull: Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Akçapınar, Gökhan – PersonEntity: Name: NameFull: Er, Erkan – PersonEntity: Name: NameFull: Bayazıt, Alper IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 14923831 Numbering: – Type: volume Value: 25 – Type: issue Value: 2 Titles: – TitleFull: International Review of Research in Open & Distributed Learning Type: main |
| ResultId | 1 |
