Learning analytics of humanities course: reader profiles in critical reading activity
Abstract This study investigates learner’s reading behaviors in a critical reading task in humanities course using learning analytics techniques. A Critical Analysis of Literature and Cinema course was selected as a context. The course activities evolved over 10 years, and for this instance, some fa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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The Asia-Pacific Society for Computers in Education (APSCE)
2021-08-01
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| Series: | Research and Practice in Technology Enhanced Learning |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41039-021-00164-w |
| _version_ | 1797721585114677248 |
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| author | Rwitajit Majumdar Geetha Bakilapadavu Reek Majumder Mei-Rong Alice Chen Brendan Flanagan Hiroaki Ogata |
| author_facet | Rwitajit Majumdar Geetha Bakilapadavu Reek Majumder Mei-Rong Alice Chen Brendan Flanagan Hiroaki Ogata |
| author_sort | Rwitajit Majumdar |
| collection | DOAJ |
| description | Abstract This study investigates learner’s reading behaviors in a critical reading task in humanities course using learning analytics techniques. A Critical Analysis of Literature and Cinema course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading activities were migrated to online mode by using BookRoll, a learning analytics enhanced eBook platform. Students (n=22 out of the 50 registered) accessed Hayavadana, an Indian play uploaded on BookRoll, and attempted to identify performative elements and cultural references in the text and highlight them. In this study, we analyze learner’s reading logs gathered in the learning record store linked to BookRoll during that activity. We extend our previous work where we identify four online reading profiles: effortful, strategic, wanderers, and check-out, based on learner’s clickstream interactions and time spent with the content. We validate the profiles with qualitative interview data collected from the learners and illustrate the quantified learning behaviors of each of those profiles based on an engagement metric. Our work aims to initiate further discussion related to the application of learning analytics in humanities courses both to probe into the learning behaviors of the students and thereby enhance the experiences with the use of interactive learning environments and data-driven services. |
| first_indexed | 2024-03-12T09:35:16Z |
| format | Article |
| id | doaj.art-92056dcb8e3746ec99c109b986f2379c |
| institution | Directory Open Access Journal |
| issn | 1793-7078 |
| language | English |
| last_indexed | 2024-03-12T09:35:16Z |
| publishDate | 2021-08-01 |
| publisher | The Asia-Pacific Society for Computers in Education (APSCE) |
| record_format | Article |
| series | Research and Practice in Technology Enhanced Learning |
| spelling | doaj.art-92056dcb8e3746ec99c109b986f2379c2023-09-02T13:41:03ZengThe Asia-Pacific Society for Computers in Education (APSCE)Research and Practice in Technology Enhanced Learning1793-70782021-08-0116111810.1186/s41039-021-00164-wLearning analytics of humanities course: reader profiles in critical reading activityRwitajit Majumdar0Geetha Bakilapadavu1Reek Majumder2Mei-Rong Alice Chen3Brendan Flanagan4Hiroaki Ogata5Academic Center for Computing and Media Studies, Kyoto UniversityDepartment of Humanities and Social Science, BITS Pilani Goa CampusSchool of Computing, Clemson UniversityNational Taiwan University of Science and TechnologyAcademic Center for Computing and Media Studies, Kyoto UniversityAcademic Center for Computing and Media Studies, Kyoto UniversityAbstract This study investigates learner’s reading behaviors in a critical reading task in humanities course using learning analytics techniques. A Critical Analysis of Literature and Cinema course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading activities were migrated to online mode by using BookRoll, a learning analytics enhanced eBook platform. Students (n=22 out of the 50 registered) accessed Hayavadana, an Indian play uploaded on BookRoll, and attempted to identify performative elements and cultural references in the text and highlight them. In this study, we analyze learner’s reading logs gathered in the learning record store linked to BookRoll during that activity. We extend our previous work where we identify four online reading profiles: effortful, strategic, wanderers, and check-out, based on learner’s clickstream interactions and time spent with the content. We validate the profiles with qualitative interview data collected from the learners and illustrate the quantified learning behaviors of each of those profiles based on an engagement metric. Our work aims to initiate further discussion related to the application of learning analytics in humanities courses both to probe into the learning behaviors of the students and thereby enhance the experiences with the use of interactive learning environments and data-driven services.https://doi.org/10.1186/s41039-021-00164-wLearning analyticsHumanities courseBookRollCritical reading activityProcess miningEngagement score |
| spellingShingle | Rwitajit Majumdar Geetha Bakilapadavu Reek Majumder Mei-Rong Alice Chen Brendan Flanagan Hiroaki Ogata Learning analytics of humanities course: reader profiles in critical reading activity Research and Practice in Technology Enhanced Learning Learning analytics Humanities course BookRoll Critical reading activity Process mining Engagement score |
| title | Learning analytics of humanities course: reader profiles in critical reading activity |
| title_full | Learning analytics of humanities course: reader profiles in critical reading activity |
| title_fullStr | Learning analytics of humanities course: reader profiles in critical reading activity |
| title_full_unstemmed | Learning analytics of humanities course: reader profiles in critical reading activity |
| title_short | Learning analytics of humanities course: reader profiles in critical reading activity |
| title_sort | learning analytics of humanities course reader profiles in critical reading activity |
| topic | Learning analytics Humanities course BookRoll Critical reading activity Process mining Engagement score |
| url | https://doi.org/10.1186/s41039-021-00164-w |
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