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Predictors of Learning Engagement in the Context of Online Learning During the COVID-19 Pandemic.

ABSTRACT: The main aim of the present research is to analyze the predictive value of individual characteristics such as online self-efficacy, adaptability to uncertainty, and sources of stress during online learning on learning engagement. We also aimed to highlight if these relationships could be mediated by the online self-regulated learning strategies, during the COVID-19 pandemic. The participants were 529 university students and the design was cross-sectional. The results showed significant associations of the sources of stress in online learning with self-efficacy, leaning engagement and self-regulated learning strategies. Self-regulated strategies-task strategies and goal setting represent mediators of stressors perceived by the students under the conditions of the sudden shift to online activity and online learning engagement. The most relevant self-regulation strategies seemed to be goal setting and task strategies, which confirm the need for a clear structure of learning in the context of online activities. The implications of this study reside in the increased awareness regarding how learning engagement in online learning can be predicted by individual characteristics.

SUBMITTER: Stan MM

PROVIDER: S-EPMC9100394 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Predictors of Learning Engagement in the Context of Online Learning During the COVID-19 Pandemic.

Stan Maria Magdalena MM Topală Ioana Roxana IR Necşoi Daniela Veronica DV Cazan Ana-Maria AM

Frontiers in psychology 20220429

The main aim of the present research is to analyze the predictive value of individual characteristics such as online self-efficacy, adaptability to uncertainty, and sources of stress during online learning on learning engagement. We also aimed to highlight if these relationships could be mediated by the online self-regulated learning strategies, during the COVID-19 pandemic. The participants were 529 university students and the design was cross-sectional. The results showed significant associati ...[more]

PMID: 35572259

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Project description:The COVID-19 pandemic has led to an abrupt transition from face-to-face learning to online learning, which has also affected the mental health of college students. In this study, we examined the relationship between students’ adjustment to online learning and their mental health by using the Dual-Continua Model. The model assumes that mental disorder and mental well-being are related yet distinct factors of mental health. For this purpose, 2,933 college students completed an online survey around the beginning of the Fall semester of 2020 (N = 1,724) and the Spring semester of 2021 (N = 1,209). We assessed participants’ mental well-being, mental disorders, and academic distress by means of the online survey. In addition, we incorporated grades and log data accumulated in the Learning Management System (LMS) as objective learning indicators of academic achievement and engagement in online learning. Results revealed that two dimensions of mental health (i.e., mental well-being and mental disorder) were independently associated with all objective and subjective online learning indicators. Specifically, languishing (i.e., low levels of mental well-being) was negatively associated with student engagement derived from LMS log data and academic achievement and was positively associated with self-reported academic distress even after we controlled for the effects of mental disorder. In addition, mental disorder was negatively related to student engagement and academic achievement and was positively related to academic distress even after we controlled for the effects of mental well-being. These results remained notable even when we controlled for the effects of sociodemographic variables. Our findings imply that applying the Dual-Continua Model contributes to a better understanding of the relationship between college students’ mental health and their adaptation to online learning. We suggest that it is imperative to implement university-wide interventions that promote mental well-being and alleviate psychological symptoms for students’ successful adjustment to online learning.

Project description:The shift to distance teaching and learning during the COVID-19 pandemic brought about a real challenge for both instructors and students. To face these difficulties in teaching undergraduate Chemistry courses at the University of Santo Tomas, a blended learning strategy in the context of teaching and learning of Physical Chemistry 1 and Analytical Chemistry for Chemical Engineering students were employed. Here, we present an online strategy that facilitated the transition from traditional face-to-face learning to full online instruction. This is a five-component blended learning strategy referred to as Discover, Learn, Practice, Collaborate and Assess (DLPCA). In DLPCA, the asynchronous part of the teaching was achieved through broadcast of pre-recorded lecture videos on YouTube to allow students to study and progress with learning at their own pace. The synchronous part of the teaching was conducted using video conferencing platforms, such as Zoom or Google Meet. The DLPCA strategy was presented and discussed to the students prior to its implementation. The analysis of the teaching and learning experience based on three indicators (i) student’s learning experience, (ii) student’s academic performance and (iii) instructor observations showed that DLPCA had a positive impact on students and instructors. The identified challenges were stability of internet connection and instructor’s familiarity with readily available internet-based teaching tools, such as video conferencing software. Instructors must also find means to improve their interaction with students and maintain student interest and engagement during online classes. The survey also indicated that most of the students are satisfied with the DLCPA strategy. Hence, this strategy is considered a manageable and effective alternative that can be adapted to full online instruction to other undergraduate Chemistry lecture courses. Overall, the findings and insights in this study will add valuable resources for further hybrid instruction in the post-COVID-19 time in higher education.

Dataset Information

Predictors of Learning Engagement in the Context of Online Learning During the COVID-19 Pandemic.

Publications

Predictors of Learning Engagement in the Context of Online Learning During the COVID-19 Pandemic.

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