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Humanism Enhancing Student Motivation in History Learning Through AI-Driven e-Cooperative and e-Collaborative Methods in Rural Education Ni, Lee Bih; Shin, Connie
Randwick International of Education and Linguistics Science Journal Vol. 6 No. 1 (2025): RIELS Journal, March
Publisher : RIRAI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47175/rielsj.v6i1.1132

Abstract

This research explores the influence of AI-based e-cooperative and e-collaborative approaches on boosting student motivation in history education in rural areas. Through the integration of primary data obtained from student surveys and teacher interviews, quantitative indicators of academic achievement, and qualitative insights from case studies, the study emphasizes how AI-driven platforms customize learning experiences, encourage peer collaboration, and enhance engagement. Results show that collaboration enhanced by AI boosts participation levels, enhances historical awareness, and fosters a sense of togetherness among students in distant regions. The research highlights the ability of AI to revolutionize history education by enhancing interactivity, accessibility, and engagement for students in disadvantaged rural areas.
The impact of work concerns on teaching effectiveness: evidence from Chinese private universities Mingyu, Liang; Abdullah, Mohd Khairuddin; Shin, Connie
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i6.35367

Abstract

Understanding how young teachers cope with work concerns is crucial for improving teaching quality in Chinese private higher education. This study investigates the relationship between different stages of such concerns and teacher effectiveness of young lecturers in private universities. These lecturers often face workload pressure andlack of career supports, which may influence their effectiveness and professional development. This research involved 416 full-time lecturers under the age of 40 from Shandong Province. The sample was determined using Krejcie and Morgan’s formula and selected through a multi-stage sampling method. Private universities were stratified into four categories, one university from each category was purposively selected, and participants were randomly sampled. Data were gatheredthrough a structured questionnaire adapted from the stages of concern (SoC) and the school teacher effectiveness questionnaire (STEQ). Pearson correlation, multiple regression, and structural equation modeling (SEM) were conducted for analysis. The results show that task concerns and impact concerns significantly influenced teacher effectiveness across instructional planning and strategies, assessment, and learning environment. In contrast, self-concerns showed weaker influence. These findings suggest that work concerns reflect not only stress but also deeper professional motivation, pointing to the need for more purposeful supports to increase teacher effectiveness and career growth.