Yeonji Jung

Datos Biográficos

ID8449457
NOMBREYeonji Jung
NOMBRESYeonji
APELLIDOJung
FIRMAJUNG Y
AFILIACIONESTexas A&M University
ORCID0000-0001-6269-5563
VERIFICADOSí
TOTAL DE OBRAS6
TOTAL DE CITAS0
OBRAS COMO AUTOR6
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0

  • Questioning the role of AI as collaborator

    Open AccessYeonji Jung, Sung‐Hee JinARTICLEInteractive Learning Environments2026

    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, …

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

    Open AccessNa‐Young Yoon, Na-Young Yoon et al.ARTICLEWellbeing Space and Society2026

    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…

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

    Yeonji Jung, Jeongmin Lee

  • Short-term gains, long-term gaps

    Yeonji Jung, Sophia Soomin Lee et al.

    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…

  • How students engage with learning analytics

    Yeonji Jung, Alyssa Friend Wise

  • Unpacking student-AI engagement

    Yeonji Jung, Soyeon Mun et al.

    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…