Cargando…
The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches
Combining theory-driven and data-driven approaches, this study used both self-reported and observational measures to examine: (1) the joint contributions of students’ self-reported undergraduates’ motivation and emotion in their self-regulated learning, their observed online learning interactions, a...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716195/ https://www.ncbi.nlm.nih.gov/pubmed/36467195 http://dx.doi.org/10.3389/fpsyg.2022.1001202 |
_version_ | 1784842631192248320 |
---|---|
author | Han, Feifei Vaculíková, Jitka Juklová, Kateřina |
author_facet | Han, Feifei Vaculíková, Jitka Juklová, Kateřina |
author_sort | Han, Feifei |
collection | PubMed |
description | Combining theory-driven and data-driven approaches, this study used both self-reported and observational measures to examine: (1) the joint contributions of students’ self-reported undergraduates’ motivation and emotion in their self-regulated learning, their observed online learning interactions, and their academic success in blended course designs; and (2) the extent to which the self-reported and observational measures were consistent with each other. The participants in the study were 54 social sciences undergraduates in the Czech Republic. The participants’ self-reported self-efficacy, intrinsic goals, and anxiety were assessed using a Czech version of three scales from the Motivated Strategies for Learning Questionnaire. Their online engagement was represented by students’ observed frequency of interactions with the six online learning activities recorded in the learning management system. The results of a hierarchical regression analysis showed that the self-reported and observational measures together could explain 71% of variance in academic success, significantly improving explanatory power over using self-reported measures alone. Departing from the theory-driven approach, students were clustered as better and poorer self-regulated learners by their self-reports, and one-way ANOVAs showed that better self-regulated learners had significantly more frequent online interactions with four out of six online learning activities and better final exam results. Departing from the data-driven approach, students were clustered as higher and lower online-engaged learners by the observed frequency of their interaction with online learning activities. One-way ANOVAs showed that higher online-engaged learners also reported having higher self-efficacy and lower anxiety. Furthermore, the strong association between the students’ profiles in both self-reported measures and observational measures in cross-tabulation analyses showed that the majority of better self-regulated learners by self-reporting also had higher online engagement by observation, whereas the majority of poorer self-regulated learners by self-reporting were lower online-engaged learners, demonstrating consistency between theory-driven and data-driven approaches. |
format | Online Article Text |
id | pubmed-9716195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97161952022-12-03 The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches Han, Feifei Vaculíková, Jitka Juklová, Kateřina Front Psychol Psychology Combining theory-driven and data-driven approaches, this study used both self-reported and observational measures to examine: (1) the joint contributions of students’ self-reported undergraduates’ motivation and emotion in their self-regulated learning, their observed online learning interactions, and their academic success in blended course designs; and (2) the extent to which the self-reported and observational measures were consistent with each other. The participants in the study were 54 social sciences undergraduates in the Czech Republic. The participants’ self-reported self-efficacy, intrinsic goals, and anxiety were assessed using a Czech version of three scales from the Motivated Strategies for Learning Questionnaire. Their online engagement was represented by students’ observed frequency of interactions with the six online learning activities recorded in the learning management system. The results of a hierarchical regression analysis showed that the self-reported and observational measures together could explain 71% of variance in academic success, significantly improving explanatory power over using self-reported measures alone. Departing from the theory-driven approach, students were clustered as better and poorer self-regulated learners by their self-reports, and one-way ANOVAs showed that better self-regulated learners had significantly more frequent online interactions with four out of six online learning activities and better final exam results. Departing from the data-driven approach, students were clustered as higher and lower online-engaged learners by the observed frequency of their interaction with online learning activities. One-way ANOVAs showed that higher online-engaged learners also reported having higher self-efficacy and lower anxiety. Furthermore, the strong association between the students’ profiles in both self-reported measures and observational measures in cross-tabulation analyses showed that the majority of better self-regulated learners by self-reporting also had higher online engagement by observation, whereas the majority of poorer self-regulated learners by self-reporting were lower online-engaged learners, demonstrating consistency between theory-driven and data-driven approaches. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9716195/ /pubmed/36467195 http://dx.doi.org/10.3389/fpsyg.2022.1001202 Text en Copyright © 2022 Han, Vaculíková and Juklová. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Han, Feifei Vaculíková, Jitka Juklová, Kateřina The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches |
title | The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches |
title_full | The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches |
title_fullStr | The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches |
title_full_unstemmed | The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches |
title_short | The relations between Czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: Consistency between theory-driven and data-driven approaches |
title_sort | relations between czech undergraduates’ motivation and emotion in self-regulated learning, learning engagement, and academic success in blended course designs: consistency between theory-driven and data-driven approaches |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716195/ https://www.ncbi.nlm.nih.gov/pubmed/36467195 http://dx.doi.org/10.3389/fpsyg.2022.1001202 |
work_keys_str_mv | AT hanfeifei therelationsbetweenczechundergraduatesmotivationandemotioninselfregulatedlearninglearningengagementandacademicsuccessinblendedcoursedesignsconsistencybetweentheorydrivenanddatadrivenapproaches AT vaculikovajitka therelationsbetweenczechundergraduatesmotivationandemotioninselfregulatedlearninglearningengagementandacademicsuccessinblendedcoursedesignsconsistencybetweentheorydrivenanddatadrivenapproaches AT juklovakaterina therelationsbetweenczechundergraduatesmotivationandemotioninselfregulatedlearninglearningengagementandacademicsuccessinblendedcoursedesignsconsistencybetweentheorydrivenanddatadrivenapproaches AT hanfeifei relationsbetweenczechundergraduatesmotivationandemotioninselfregulatedlearninglearningengagementandacademicsuccessinblendedcoursedesignsconsistencybetweentheorydrivenanddatadrivenapproaches AT vaculikovajitka relationsbetweenczechundergraduatesmotivationandemotioninselfregulatedlearninglearningengagementandacademicsuccessinblendedcoursedesignsconsistencybetweentheorydrivenanddatadrivenapproaches AT juklovakaterina relationsbetweenczechundergraduatesmotivationandemotioninselfregulatedlearninglearningengagementandacademicsuccessinblendedcoursedesignsconsistencybetweentheorydrivenanddatadrivenapproaches |