Supporting program comprehension with data-enhanced active reading.
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| Title: | Supporting program comprehension with data-enhanced active reading. |
|---|---|
| Authors: | Yuko Toyokawa1,2 toyokawa.yuko.2j@kyotou.ac.jp.jp, Prajish Prasad3, Izumi Horikoshi2, Rwitajit Majumdar4, Hiroaki Ogata2 |
| Source: | Research & Practice in Technology Enhanced Learning. 2025, Vol. 20, p1-24. 24p. |
| Subject Terms: | *Computer science students, *Universities & colleges, *Learning strategies, *Arts education, Data analytics |
| Abstract: | This study proposes a novel pedagogical approach to applying active reading (AR) strategies and the learning analytics dashboard to program comprehension (PC) in programming courses. The objective was to visualize the code-reading behaviors of novice programming learners using learning logs and promote code comprehension. The strategy was applied to students in computer science classes at a liberal arts college in India. The results show that the utilization of the dashboard positively influenced students' learning behaviors outside the classroom. It was recognized as an effective means of supporting PC, highlighting the need to elaborate on how to adopt dashboards in code reading tasks. The study confirms that reflecting on learning using the dashboard can promote learners' metacognitive skills, regardless of subject or language. It contributes to AR research by demonstrating new practical benefits of AR strategies for PC. [ABSTRACT FROM AUTHOR] |
| Copyright of Research & Practice in Technology Enhanced Learning is the property of Asia-Pacific Society for Computers in Education (APSCE) 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: 184656804 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.58459/rptel.2025.20039 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Subjects: – SubjectFull: Computer science students Type: general – SubjectFull: Universities & colleges Type: general – SubjectFull: Learning strategies Type: general – SubjectFull: Arts education Type: general – SubjectFull: Data analytics Type: general Titles: – TitleFull: Supporting program comprehension with data-enhanced active reading. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yuko Toyokawa – PersonEntity: Name: NameFull: Prajish Prasad – PersonEntity: Name: NameFull: Izumi Horikoshi – PersonEntity: Name: NameFull: Rwitajit Majumdar – PersonEntity: Name: NameFull: Hiroaki Ogata IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17932068 Numbering: – Type: volume Value: 20 Titles: – TitleFull: Research & Practice in Technology Enhanced Learning Type: main |
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