Relationship between technology acceptance model, self-regulation strategies, and academic self-efficacy with academic performance and perceived learning among college students during remote education
Introduction The aim of this study was to examine the relationship between the technology acceptance model, self-regulation strategies, and academic self-efficacy with academic performance and perceived learning among college students during remote education. Methods The participants were 301 univer...
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Published in | Frontiers in psychology Vol. 14; p. 1227956 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
29.08.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Introduction
The aim of this study was to examine the relationship between the technology acceptance model, self-regulation strategies, and academic self-efficacy with academic performance and perceived learning among college students during remote education.
Methods
The participants were 301 university students from Lima. Structural equation model was used to test the proposed theoretical relationships between the variables. On the one hand, the study sought to explore the relationship between academic self-efficacy and self-regulation strategies with the technology acceptance model. On the other hand, it sought to determine whether the three dimensions of the technology acceptance model are positively related to perceived learning and academic performance.
Results
The results suggest the importance of improving psychological variables such as self-efficacy and self-regulation strategies to improve the acceptance of technology, which would also improve the academic performance and perceived learning of students in a virtual environment.
Discussion
The discussion highlights the significance of self-efficacy and metacognitive strategies in influencing technology perception and attitudes, ultimately impacting perceived learning and academic performance in virtual education. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Stefania Mancone, University of Cassino, Italy; Maura Pilotti, Prince Mohammad bin Fahd University, Saudi Arabia Edited by: Rui Li, Hunan University, China |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2023.1227956 |