Mapping active and collaborative learning in higher education through annotations in hyper‐video by learning analytics.

Background: Hyper‐video technology allows reflection on learning materials by writing personal notes and by interactions with lecturers and peers through shared posts and replies. While research shows that integrating hyper‐videos in educational systems can promote the learning processes and outcome...

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Publicado en:Journal of Computer Assisted Learning Vol. 38; no. 6; pp. 1752 - 1765
Autores principales: Sidi, Yael, Blau, Ina, Shamir‐Inbal, Tamar
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell Dec2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2022
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        10.1111/jcal.12714
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        atl: Mapping active and collaborative learning in higher education through annotations in hyper‐video by learning analytics.
      aug:
        au:
          Sidi, Yael
          Blau, Ina
          Shamir‐Inbal, Tamar
        affil: Department of Education and Psychology, The Open University of Israel, Ra'anana, Israel
      sug:
        subj:
          Collaboration
          Learning Methods
          Education, Non-Traditional
          Videorecording
          Data Analytics
          Human
          Qualitative Studies
          Quantitative Studies
          Descriptive Statistics
          Data Analysis Software
          Wilcoxon Signed Rank Test
          Mann-Whitney U Test
          Conceptual Framework
          Online Education
          Machine Learning
      ab: Background: Hyper‐video technology allows reflection on learning materials by writing personal notes and by interactions with lecturers and peers through shared posts and replies. While research shows that integrating hyper‐videos in educational systems can promote the learning processes and outcomes, an open question remains regarding its actual utilization patterns by students and teachers. Objectives: The study aimed to reveal the extent to which students utilize different functions of hyper‐videos in real‐life learning contexts, and to examine the role of instructional design on hyper‐video utilization. Method: In a mixed‐method design, the study characterized active and passive interactions in hyper‐videos in higher education courses, and amongst active interactions, compared shared versus private annotations. Additionally, the study compared voluntary and mandatory instructional design for promoting hyper‐video interactions. In particular, we used learning analytics to explore hyper‐video patterns in 25 undergraduate and graduate courses. Results and Discussion: A log analysis revealed that students wrote most of the posts, while lecturers mainly provided replies to students' posts. Private annotations were more prevalent than shared writing, pointing to the unfulfilled potential of hyper‐video annotations to benefit from collaborative learning. A qualitative analysis on instructional design was consistent with quantitative findings, revealing important differences between the courses with mandatory versus voluntary hyper‐video integration in pedagogical design, and in cognitive presence and teaching presence, based on the community of inquiry framework. Major takeaways: Findings point to an unfulfilled potential of hyper‐video technology to promote active and collaborative learning. This highlights the role of design and instructive guidance when integrating technology into educational systems. Lay Description: What is already known about this topic: Hyper‐video functions increase motivation and promote self‐regulation of learningIntegrating hyper‐videos in education can benefit leaning outcomesHowever, there is an imbalance between the availability ICT and its actual useThere is a gap in the literature regarding actual utilisation patterns of hyper‐video What this paper adds: A mixed method design exposes hyper‐video utilisation patterns in higher educationFindings show underutilisation of active and collaborative hyper‐video functionsMixed analysis reveals advantage for mandatory (graded) compared to voluntary designGender and degree do not moderate utilisation patterns of hyper‐videos Implications for practise and/or policy: Instructional design is required to guide students of effective use of hyper‐videosInstructors should use hyper‐videos to promote collaboration and peer dialogueDirect instruction does not engage students in active learning via hyper‐videosMandatory design can increase hyper‐videos' potential to contribute to learning
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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