Negative Emotions, Cognitive Load, Acceptance, and Self-Perceived Learning Outcome in Emergency Remote Education during COVID-19

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Bibliographic Details
Title: Negative Emotions, Cognitive Load, Acceptance, and Self-Perceived Learning Outcome in Emergency Remote Education during COVID-19
Language: English
Authors: Tzafilkou, Katerina (ORCID 0000-0003-4092-6492), Perifanou, Maria, Economides, Anastasios A.
Source: Education and Information Technologies. Nov 2021 26(6):7497-7521.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 25
Publication Date: 2021
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Negative Attitudes, Psychological Patterns, Difficulty Level, Electronic Learning, Online Courses, Distance Education, Emergency Programs, COVID-19, Pandemics, Knowledge Level, Anxiety, College Students, Predictor Variables, Foreign Countries, Self Concept
Geographic Terms: Greece
DOI: 10.1007/s10639-021-10604-1
ISSN: 1360-2357
Abstract: Learning related emotions (LREs) are determinant for students' achievement both in face-to-face and online education. Research has also shown that LREs tend to affect technology acceptance which in turn affects learning outcomes as well. Today though, the negative psychological impact of the COVID-19 crisis and the sudden transmission to obligatory remote education might yield different functions of emotions and acceptance on learning outcomes. In this context, the current study seeks to model the relations between students' negative emotions, acceptance of (emergency) remote education, and self-perceived knowledge improvement. The suggested model was examined and validated on 116 university students that attended fully remote courses in Greece during the COVID-19 crisis. The results suggested that negative emotions of boredom and cognitive load are significant predictors of students' acceptance of remote learning components: (1) online attending a lecture; (2) online communicating with professor; and (3) online collaborating with peers. Anxiety directly affected perceived knowledge improvement, boredom, and cognitive load; Boredom was also affected by cognitive load. In addition, acceptance of remote learning components indirectly affected perceived knowledge improvement mediated by learnability. Boredom was the strongest predictor of online attending a lecture and online collaborating with peers, while online communication with professor was the strongest predictor of learnability. The contribution of this study and the structural findings are further discussed in the paper.
Abstractor: As Provided
Entry Date: 2021
Accession Number: EJ1316540
Database: ERIC
Description
Abstract:Learning related emotions (LREs) are determinant for students' achievement both in face-to-face and online education. Research has also shown that LREs tend to affect technology acceptance which in turn affects learning outcomes as well. Today though, the negative psychological impact of the COVID-19 crisis and the sudden transmission to obligatory remote education might yield different functions of emotions and acceptance on learning outcomes. In this context, the current study seeks to model the relations between students' negative emotions, acceptance of (emergency) remote education, and self-perceived knowledge improvement. The suggested model was examined and validated on 116 university students that attended fully remote courses in Greece during the COVID-19 crisis. The results suggested that negative emotions of boredom and cognitive load are significant predictors of students' acceptance of remote learning components: (1) online attending a lecture; (2) online communicating with professor; and (3) online collaborating with peers. Anxiety directly affected perceived knowledge improvement, boredom, and cognitive load; Boredom was also affected by cognitive load. In addition, acceptance of remote learning components indirectly affected perceived knowledge improvement mediated by learnability. Boredom was the strongest predictor of online attending a lecture and online collaborating with peers, while online communication with professor was the strongest predictor of learnability. The contribution of this study and the structural findings are further discussed in the paper.
ISSN:1360-2357
DOI:10.1007/s10639-021-10604-1