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A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects

Published: 18 March 2024 Publication History

Abstract

This case study explores the online learning patterns of a cohort of first-year university students in two subjects: a compulsory science subject and an introductory programming subject, by analysing trace data from the Learning Management Systems (LMS). The methodology extends existing learning analytics techniques to incorporate temporal aspects of students’ learning, such as session duration and weekly online behaviours. By examining over 82,000 learning actions, the research unveils significant variations in students’ online learning strategies between subjects, offering deeper insights into these differences and their associated challenges. The study seeks to initiate broader discussions in learning analytics, emphasising the need to comprehend students’ diverse online learning experiences and encouraging further exploration in future research.

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  • (2024)Disruptive Higher Education: Will Lecturers Be Replaced by Technologies2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)10.1109/ISCAIE61308.2024.10576562(511-516)Online publication date: 24-May-2024

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    cover image ACM Other conferences
    LAK '24: Proceedings of the 14th Learning Analytics and Knowledge Conference
    March 2024
    962 pages
    ISBN:9798400716188
    DOI:10.1145/3636555
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 18 March 2024

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    Author Tags

    1. Blended learning
    2. Learning analytics
    3. Learning strategy
    4. Learning tactic
    5. Trace data

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    • (2024)Disruptive Higher Education: Will Lecturers Be Replaced by Technologies2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)10.1109/ISCAIE61308.2024.10576562(511-516)Online publication date: 24-May-2024

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