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Yeonji Jung

Biographic Data

ID8449457
NAMEYeonji Jung
GIVEN NAMESYeonji
FAMILY NAMEJung
SIGNATUREJUNG Y
AFFILIATIONSTexas A&M University
ORCID0000-0001-6269-5563
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Short-term gains, long-term gaps

    Open Access•Yeonji Jung, Sophia Soomin Lee et al.•ARTICLE•The Internet and Higher Education•2026

    Social annotation is a collaborative learning practice that engages students in active reading, in-text commenting, and peer dialogue around shared digital texts. While it holds promise for supporting deep discourse and learning, challenges persist, including inconsistent, superficial, and fragmented participation. This study investigates how analytics-based suggestions influence students' social annotation engagement (defined multi-dimensionally…

  • Questioning the role of AI as collaborator

    Open Access•Yeonji Jung, Sung‐Hee Jin•ARTICLE•Interactive Learning Environments•2026

    This systematic literature review explores the role of Generative AI (GenAI) in facilitating the knowledge construction of learners through discourse within educational settings. By analyzing 28 studies, selected through the PRISMA protocol, the study addresses four primary research questions concerning (1) research context, (2) the learning context of GenAI implementation, (3) the emergent processes of knowledge construction supported by GenAI, …

  • Unpacking student-AI engagement

    Yeonji Jung, Soyeon Mun et al.•ARTICLE•Behaviour and Information…•2026

    This study investigates how university students’ use of argumentation shapes their behavioural and cognitive engagement with generative AI-mediated learning tasks. Using content analysis and quantitative analysis, we analysed interaction log data and final essay assignments from 12 undergraduate students over the course of a semester. Findings reveal that prompts with higher argumentation complexity, particularly those integrating claims, reasons…

  • Housing-Related Factors and Longitudinal Trajectories of Depressive Symptoms in One-Person Households

    Open Access•Na‐Young Yoon, Na-Young Yoon et al.•ARTICLE•Wellbeing Space and Society•2026

    Background Housing is often perceived as a fixed condition that individuals cannot easily change, potentially affecting mental health. One-person households are considered more vulnerable to social isolation than those living with others. This study aims to examine how housing-related factors influence depressive symptoms over time among one-person households. Materials and methods We used data from the Korea Welfare Panel Study (KoWePS) from 201…

  • How students engage with learning analytics

    Open Access•Yeonji Jung, Alyssa Friend Wise•ARTICLE•Computers & Education•2025

  • Learning Engagement and Persistence in Massive Open Online Courses (Moocs)

    Open Access•Yeonji Jung, Jeongmin Lee•ARTICLE•Computers & Education•2018

No prominent works on this page.

  • Learning Engagement and Persistence in Massive Open Online Courses (Moocs)

    Open Access•Yeonji Jung, Jeongmin Lee•ARTICLE•Computers & Education•2018

  • How students engage with learning analytics

    Open Access•Yeonji Jung, Alyssa Friend Wise•ARTICLE•Computers & Education•2025

  • Short-term gains, long-term gaps

    Open Access•Yeonji Jung, Sophia Soomin Lee et al.•ARTICLE•The Internet and Higher Education•2026

    Social annotation is a collaborative learning practice that engages students in active reading, in-text commenting, and peer dialogue around shared digital texts. While it holds promise for supporting deep discourse and learning, challenges persist, including inconsistent, superficial, and fragmented participation. This study investigates how analytics-based suggestions influence students' social annotation engagement (defined multi-dimensionally…

  • Questioning the role of AI as collaborator

    Open Access•Yeonji Jung, Sung‐Hee Jin•ARTICLE•Interactive Learning Environments•2026

    This systematic literature review explores the role of Generative AI (GenAI) in facilitating the knowledge construction of learners through discourse within educational settings. By analyzing 28 studies, selected through the PRISMA protocol, the study addresses four primary research questions concerning (1) research context, (2) the learning context of GenAI implementation, (3) the emergent processes of knowledge construction supported by GenAI, …

  • Unpacking student-AI engagement

    Yeonji Jung, Soyeon Mun et al.•ARTICLE•Behaviour and Information…•2026

    This study investigates how university students’ use of argumentation shapes their behavioural and cognitive engagement with generative AI-mediated learning tasks. Using content analysis and quantitative analysis, we analysed interaction log data and final essay assignments from 12 undergraduate students over the course of a semester. Findings reveal that prompts with higher argumentation complexity, particularly those integrating claims, reasons…

  • Housing-Related Factors and Longitudinal Trajectories of Depressive Symptoms in One-Person Households

    Open Access•Na‐Young Yoon, Na-Young Yoon et al.•ARTICLE•Wellbeing Space and Society•2026

    Background Housing is often perceived as a fixed condition that individuals cannot easily change, potentially affecting mental health. One-person households are considered more vulnerable to social isolation than those living with others. This study aims to examine how housing-related factors influence depressive symptoms over time among one-person households. Materials and methods We used data from the Korea Welfare Panel Study (KoWePS) from 201…

Online Learning and Analytics (4 works) · Innovative Teaching and Learning Methods (3 works) · Analytics (2 works) · Annotation (2 works) · Computer Science (2 works) · Human–computer interaction (2 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Learning analytics (2 works) · Student engagement (2 works) · Unpacking (2 works)

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