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1.
Journal of Computers in Education ; 2023.
Article in English | Scopus | ID: covidwho-20244860

ABSTRACT

This study investigates the factors influencing university students' online learning engagement from three distinct aspects, namely, behavioural, cognitive and emotional engagement. A comparison is drawn from university students in Asia who embraced online learning during the COVID-19 pandemic. An online survey was conducted on 495 university students in Mainland China, Hong Kong and Malaysia during the surge of the COVID-19 Omicron variant, which was considered more infectious but less deadly than previous variants. A consistent positive relationship between Satisfaction and Academic Performance is found in all the regions. Malaysia presents a unique situation as compared to Mainland China and Hong Kong whereby no association was found between Social Context and Online communication towards Student Engagement. The novelty of this study is attributed to the integration of Social Presence Theory in Student Engagement through the nature of online learning as a coping strategy to halt the spread of COVID-19 during the Omicron variant surge. © 2023, Beijing Normal University.

2.
Physical Education Theory and Methodology ; 22(4):522-529, 2022.
Article in English | Scopus | ID: covidwho-2231765

ABSTRACT

Study purpose. This study aims to clarify the extent to which students' physical activity is significant for their engagement in the learning process. Materials and methods. The study sample was composed of 202 7th-10th grade students. The data collection was performed in May 2021. The research participants completed the anonymous questionnaire on an online platform. The standardized Physical Activity Questionnaire for Adolescents and the standardized Student Engagement Scale were used to assess levels of physical activity and affective and behavioural engagement. Results. The research findings showed that students' physical activity depended on the time they participated in physical activities. The highest level of physical activity was during physical education classes. A statistically significant difference was determined in the boys' and girls' affective and behavioural engagement. The mean for the girls was higher than the mean for the boys. A statistically significant difference in the behavioural engagement of the 9th and 10th grade students was also found: 9th grade students were more engaged than 10th grade students. The multiple linear regression analysis demonstrated that gender (β = 0.332, p < 0.0001) and physical activity (β = 0.323, p < 0.0001) as predictors had a significant moderate effect on behavioural engagement. Conclusions. The research findings reveal that although the students' physical activity was low during the COVID-19 pandemic period, this phenomenon (physical activity) still remains a predictor, which has a significant moderate effect on behavioural engagement. It was also determined that during the pandemic, the highest physical activity level of students depended mostly on obligatory physical education lessons. Thus, bearing in mind that physical education lessons were the main physical activity-enhancing measures, we would like to emphasise the importance of these lessons and their proper organisation. © Kemeryte-Ivanauskiene, E., Brandisauskiene, A., Cesnaviciene, J., & Daugirdiene, A., 2022.

3.
International Journal of Computer - Assisted Language Learning and Teaching ; 12(4):2020/01/01 00:00:00.000, 2022.
Article in English | ProQuest Central | ID: covidwho-2231323

ABSTRACT

This study explored the perceptions of students from different types of schools in Malaysia towards their online learning engagement during COVID-19's movement control order using Fredricks et al.'s framework of behavioural, cognitive, and emotional engagement. In addition to these variables, external support provided to the students was also considered. To this end, a questionnaire that examined the students' general online practices and online learning engagement was administered. Seven hundred sixty-eight students from four different types of secondary schools (national, Chinese, international, and high performing schools) responded to the questionnaire. The findings from the ANOVA analysis indicated that generally the respondents demonstrated positive online learning practices. However, the amount of time spent interacting with teachers online should be much improved. The findings also indicated significant differences in perceptions towards online learning engagement and external support based on school types.

4.
International Journal of Computer - Assisted Language Learning and Teaching ; 12(4):1-20, 2022.
Article in English | ProQuest Central | ID: covidwho-2066732

ABSTRACT

This study explored the perceptions of students from different types of schools in Malaysia towards their online learning engagement during COVID-19's movement control order using Fredricks et al.'s framework of behavioural, cognitive, and emotional engagement. In addition to these variables, external support provided to the students was also considered. To this end, a questionnaire that examined the students' general online practices and online learning engagement was administered. Seven hundred sixty-eight students from four different types of secondary schools (national, Chinese, international, and high performing schools) responded to the questionnaire. The findings from the ANOVA analysis indicated that generally the respondents demonstrated positive online learning practices. However, the amount of time spent interacting with teachers online should be much improved. The findings also indicated significant differences in perceptions towards online learning engagement and external support based on school types.

5.
Asia-Pacific Education Researcher ; 2022.
Article in English | Web of Science | ID: covidwho-2003769

ABSTRACT

Student engagement is a critical component of e-learning, which became an important focus for most academic institutions during the COVID-19 pandemic. University students' engagement is measured using various scales with different subscales. This study aimed to evaluate the psychometric properties of the Persian version of the University Student Engagement Inventory (P-USEI). A cross-sectional methodology study was conducted among Iranian university students (n = 667) from April to May 2020. After forward-backward translation, the content, and construct validity, and reliability of the scale were assessed. The results obtained from the confirmatory factor analysis confirmed that the P-USEI has three factors: cognitive, emotional, and behaviour. The findings of the study supported the adequate reliability, factorial, convergent, and discriminant validities of P-USEI in a sample of Iranian students. The P-USEI dimensions have predictive value for important academic variables that can be generalized by developing the research through a psychometric evaluation on student engagement.

6.
Br J Educ Technol ; 53(3): 593-619, 2022 May.
Article in English | MEDLINE | ID: covidwho-1685219

ABSTRACT

The COVID-19 pandemic has forced higher education institutions to implement online learning activities based on virtual platforms, allowing little time to prepare and train faculty members to familiarize students with digital technologies. While previous studies have looked at how students engaged with digital technologies in their learning activities, the characteristics of the student engagement in online learning remain underexplored. Therefore, a systematic review of the literature on student engagement in online learning in higher education is much needed. This article synthesizes the findings on student engagement in Latin American higher education institutions during the COVID-19 pandemic. After reviewing the studies on online learning activities, this review examines student engagement from behavioural, cognitive and affective dimensions and identifies the main characteristics of student engagement from these tripartite dimensions. The implications of the findings for online learning in Latin American higher education are as follows: (a) to transform higher education, (b) to provide adequate professional training, (c) to improve Internet connectivity, (d) to ensure quality online learning in higher education and (e) to provide emotional support. These findings will provide valuable guidance for teachers, educational authorities and policy makers and help them make informed decisions to use effective strategies to support online learning in higher education institutions.

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