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From Presence to Performance: An Empirical Study of College English Online Learning Through the CoI Lens Liu, Yu
International Journal of Education and Humanities Vol. 6 No. 1 (2026): International Journal of Education and Humanities (IJEH)
Publisher : Ilmu Inovasi Nusantara

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Abstract

The rapid advancement of information technology and the widespread adoption of online education have intensified the need to improve the quality of College English e-learning. Despite the growing prevalence of digital instruction, challenges remain in maintaining students’ engagement and achieving effective learning outcomes. To address this issue, the present study aims to examine how different aspects of teaching presence influence student engagement and, subsequently, learning performance in an online College English environment. Guided by the Community of Inquiry (CoI) framework, this research develops and validates a structural model that links teaching presence → student engagement → learning performance. Using data collected from a College English massive open online course (MOOC), the study employs partial least squares structural equation modeling (PLS-SEM) to test the hypothesized relationships among the variables. The results reveal that among the three dimensions of teaching presence—design and organization, facilitating discourse, and direct instruction—only facilitating discourse significantly enhances behavioral, emotional, and cognitive engagement. Furthermore, student engagement serves as a key predictor of learning performance, with cognitive engagement demonstrating the strongest effect, followed by emotional and behavioral engagement. These findings emphasize that fostering interactive and dialogue-rich learning environments is crucial for improving students’ engagement and performance in online College English learning. Theoretically, this study extends the CoI framework to second-language acquisition by identifying the differential effects of teaching presence. Practically, it highlights the importance of instructors adopting the role of facilitators who cultivate meaningful online learning communities that promote both quality and equity in digital education
Research on Lightweight Rail Vehicle Body Based on Sensitivity Analysis Yin, Jian; Zhang, Qingchao; Li, Xianglong; Zhu, Yaoyao; Liu, Ziyuan; Liu, Yu; Sha, Zhihua
Journal of Engineering and Technological Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.3.4

Abstract

In view of the development trend of rail vehicles towards higher operating speed and low power consumption, a scheme for a lightweight rail vehicle body is proposed, based on sensitivity analysis. Using topology optimization of the vehicle body section structure, finite element models of the vehicle body section structure under single working conditions and multiple working conditions were established, respectively, and the force transmission path of the vehicle body structure under different working conditions was obtained under different working conditions. The topology of the cross-sectional structure of the vehicle body was optimized by the compromise planning method with weights. Then, a reconstruction and performance analysis of the car body section was carried out based on the optimization results and finally the finite difference method was used to analyze the sensitivity of the vehicle body structure and the vehicle body size was optimized based on the sensitivity analysis results. The results showed that the weight reduction rate of the railway vehicle body section stiffened plate was 4.47% compared to the optimization period and the modal performance analysis results of the optimized structure met the requirements. The weight reduction ratio of the optimized body structure was 21.6%