Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
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This Author published in this journals
All Journal International Journal of Humanities, Management, and Social Science (IJ-HuMaSS) International Journal of Education, Science, Technology, and Engineering (IJESTE)
Gong, Yue
Unknown Affiliation
Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Teacher Professional Identity, Work Engagement, and Emotion Influence: How do They Affect Teachers’ Career Satisfaction Gong, Yue; Wang, Lei
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 6 No 2: December 2023
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0602.611

Abstract

Teachers’ behaviours significantly influence students’ learning outcomes but also play an important role in national development and construction. However, few studies have attempted to investigate the interrelationships between teachers’ professional identity, work engagement, emotion, and attitude towards career satisfaction. This study aims to explore the effect of professional identity and emotion on work engagement and career satisfaction separately and to investigate the influence of work engagement on attitude and, subsequently career satisfaction. A convenience sampling technique includes 221 valid questionnaires that were subjected to descriptive analysis followed by subsequent empirical testing of the populated hypotheses using SPSS and AMOS. Results showed that professional identity and emotion positively influence work engagement and career satisfaction respectively. Work engagement positively influenced attitude and, subsequently career satisfaction. Last, the theoretical and practical implications and limitations were discussed.
Determinants of University Students’ Attitudes and Intentions Toward Artificial Intelligence Education Wang, Lei; Zhang, Qi; Gong, Yue
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 7 No 2: December 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0702.784

Abstract

Few studies have investigated students’ perceptions towards using intelligence & interactive virtual massive open online course (IMOOCs) although IMOOCs is an adaptive technique to resolve the massive open online course problems. This study aims to investigate the influence of perceived usefulness, perceived ease of use, attitude, subjective norm, and perceived behavioural control on intention to use IMOOCs based on the technology acceptance model and theory of planned behaviour. A total of 216 students were recruited as respondents and further tested the hypotheses proposed based on PLS-SEM. The results show that perceived usefulness positively influences attitude, and perceived ease of use positively influences perceived ease of use and, subsequently attitude. Meanwhile, attitude, subjective norm, and perceived behavioural control positively influence intention towards using IMOOCs. Lastly, theoretical and practical implications as well as limitations are discussed accordingly.
Visualization Analysis of AI-Enabled Ideological and Political Education in Higher Education Based on CiteSpace Zhang, Qi; Gong, Yue; Wang, Lei
International Journal of Humanities, Management and Social Science (IJ-HuMaSS) Vol 8 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ij-humass-0801.856

Abstract

This study adopts CiteSpace software to conduct a visualization analysis of artificial intelligence-enabled (AI-enabled) ideological and political educational literature obtained from the China National Knowledge Infrastructure (CNKI) database from 2018 to 2024. The results showed that the number of journal articles regarding AI-enabled ideological and political education exhibits a consistent upward trend. The main authors have not yet formed a scale effect and the degree of collaboration among them was limited. In addition, the research hotspots primarily focused on artificial intelligence-related technologies to improve ideological and political education scenarios and the reform paths of high-educational courses. The findings of this study suggest that future research should consider incorporating interdisciplinary collaboration, technological integration and innovation, and the construction of the curriculum system that contributes to AI-enabled ideological and political education.
Co-Authors Lei Wang Qi Zhang