Code suggestions and explanations in programming learning: Use of ChatGPT and performance DOI
Arum Park, Tae-Kyung Kim

The International Journal of Management Education, Год журнала: 2024, Номер 23(2), С. 101119 - 101119

Опубликована: Дек. 24, 2024

Язык: Английский

Does consumers’ reveal engagement behaviours in artificial intelligence (AI)-based technologies? The dynamics of perceived value and self-congruence DOI
Raouf Ahmad Rather

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 103989 - 103989

Опубликована: Янв. 17, 2025

Язык: Английский

Процитировано

0

Who is Hooked on AI? The Role of the Big Five Personality Traits in Compulsive ChatGPT Use Among Chinese Students DOI

Y. S. Hu,

Chee‐Seng Tan,

Shimeng Wang

и другие.

The Asia-Pacific Education Researcher, Год журнала: 2025, Номер unknown

Опубликована: Апрель 12, 2025

Язык: Английский

Процитировано

0

Compulsive ChatGPT usage, anxiety, burnout, and sleep disturbance: A serial mediation model based on stimulus-organism-response perspective DOI Creative Commons
Cong Doanh Duong,

Thanh Tung Dao,

Trong Nghia Vu

и другие.

Acta Psychologica, Год журнала: 2024, Номер 251, С. 104622 - 104622

Опубликована: Ноя. 1, 2024

The limited understanding of the detrimental repercussions stemming from adoption artificial intelligence, exemplified by ChatGPT, on users' mental health issues underscores urgency our current research endeavor. In response to this knowledge gap, study employs stimulus-organism-response (SOR) framework and implements a serial mediation model probe into impacts compulsive ChatGPT usage outcomes. This serves as powerful analytical lens, allowing us unravel relationships between stimulus (compulsive usage), organism (anxiety burnout), (sleep disturbance). Using cross-sectional survey design, we collected data 2602 users in Vietnam via purposive sampling utilized structural equation modeling assess hypothesis model. findings confirm that directly correlates with heightened anxiety, burnout, sleep disturbance. Moreover, indirectly contributes disturbance through anxiety demonstrating significant effect. expanded understanding, derived sizable diverse user base, positions at forefront unraveling intricate dynamics AI well-being.

Язык: Английский

Процитировано

1

Social Network Sites (SNS) an archetype of techno-social stress: A systematic review DOI Creative Commons

January F. Naga,

Ryan Ebardo

Heliyon, Год журнала: 2024, Номер 11(1), С. e41119 - e41119

Опубликована: Дек. 11, 2024

Social Networking Sites (SNS) are widely used platforms known for both their hedonic and social connectivity benefits. Although there is considerable interest in understanding how personal technostress affects individual well-being, a significant gap remains the systematic exploration of this topic within literature. This review systematically examined 41 empirical studies from Scopus PubMed published between 2014 2023, following PRISMA guidelines, assessed methodological quality using Mixed Method Appraisal Tool. Only English-language articles were considered to avoid translation complexities. Studies categorized coded Stressor-Strain-Outcome (SSO) model examine demographic variations stressor impacts coping mechanisms. The findings reveal complex interplay technological, behavioral-technological, stressors. Technological complexities often exacerbate stressors like FoMO (Fear Missing Out) overload, resulting psychological (e.g., anxiety, depression), behavioral reduced engagement), physical strains sleep disruptions). Demographic factors significantly influence stress responses, with younger users women particularly affected. Key intervention strategies identified include digital detox practices, mindfulness techniques, user-centered SNS design modifications. emphasizes need targeted approaches mitigate SNS-induced foster balanced, health-oriented engagement. Future research should focus on developing comprehensive frameworks address diverse user groups better support sustainable well-being practices.

Язык: Английский

Процитировано

1

Code suggestions and explanations in programming learning: Use of ChatGPT and performance DOI
Arum Park, Tae-Kyung Kim

The International Journal of Management Education, Год журнала: 2024, Номер 23(2), С. 101119 - 101119

Опубликована: Дек. 24, 2024

Язык: Английский

Процитировано

1