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1.
Educ Inf Technol (Dordr) ; : 1-27, 2023 May 22.
Article in English | MEDLINE | ID: covidwho-20230791

ABSTRACT

COVID-19 has disrupted education internationalisation around the world, making online learning a necessary means of learning. This study proposes an International Student Satisfaction Index Model (ISSM) on the interaction of online international courses in Chinese universities, aiming to investigate the potential factors that affect international students' online learning interaction. Based on the large-scale online course practice in Chinese universities during the pandemic, this study adopted a stratified random sampling method to select 320 international students participating in online courses as a research sample. The model proposed in this study includes four antecedent variables, one target variable, and one outcome variable. This study is quantitative, using SPSS26.0 and AMOS 21.0 to analyse the collected empirical data, and the results verify the nine research hypotheses proposed and the applicability of the online course international students' satisfaction index model (ISSM) proposed. The research results provide strong theoretical and practical support for international students' satisfaction with online course learning interaction, which is conducive to the reform of online courses and improving international students' retention rate in the online course.

2.
Indonesian Journal of Applied Linguistics ; 12(2):321-333, 2022.
Article in English | Scopus | ID: covidwho-2204369

ABSTRACT

The existence of the COVID-19 pandemic forces the Indonesian government to carry on online learning at all education levels, to keep the teaching and learning going on. For students, this ongoing online learning has brought about various impacts on their online learning success. One important factor determining online learning success is students' interaction. Thus, paying more attention to whether an online learning environment has promoted the students' interaction is crucial to creating successful online learning. This study aimed to investigate the dimensions of students' interaction in the online listening learning environment. Moreover, this study also tried to explore how students perceived the interaction in the online listening learning environment. There were 78 students majoring in English Education as participants in this study. A convergent mixed-method was applied in this study, in which the results of the quantitative and qualitative data analysis were brought together. A modified questionnaire of OLLES (Online Learning Environment Survey) and a close-ended interview were carried out to gather the data. The results showed that the dimensions of interaction in the online listening learning environment had a statistically significant high rating. The interaction between the lecturer and the students placed the highest among all of the dimensions. Overall, all the dimensions of interaction in online listening learning were highly perceived by the students. The implications suggested that providing well-designed authentic materials, collaborative activities, and asynchronous models were needed to support the students' online learning performance. © 2022, authors. All Rights Reserved.

3.
20th IEEE International Conference on Dependable, Autonomic and Secure Computing, 20th IEEE International Conference on Pervasive Intelligence and Computing, 7th IEEE International Conference on Cloud and Big Data Computing, 2022 IEEE International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2191710

ABSTRACT

With the rapid development of digitization in education, online learning has become an alternative and promising way to enable flexible learning scenarios. Especially after COVID-19, online learning draws more and more attention. However, online learning has inherent disadvantages and problems. One of them is that learners have difficulty in concentrating, and the other one is that they may feel lonely during lessons. In this study, a new model of on-screen individualized comments, namely i-Comments, is proposed for online learning support. In the proposed model, three elements, i.e., timing, content, and quantity of i-Comments, are defined respectively, which are used to help learners improve concentration and decrease the feeling of loneliness. Furthermore, an experiment is designed to evaluate the model and verify whether the proposed model can help learners gain a better learning experience and improve their learning effectiveness. © 2022 IEEE.

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