Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis
The widespread of the COVID-19 pandemic has challenged training institutions to rethink the execution of their training programs. New approaches to teaching and learning are now needed due to the forced shift to e-learning modes. However, questions remain about how ready pre-service teachers are and...
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2022
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my.um.eprints.432072023-12-03T02:18:48Z http://eprints.um.edu.my/43207/ Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis Laksmiwati, Pasttita Ayu Adams, Donnie Sulistyawati, Eka L Education (General) LB Theory and practice of education The widespread of the COVID-19 pandemic has challenged training institutions to rethink the execution of their training programs. New approaches to teaching and learning are now needed due to the forced shift to e-learning modes. However, questions remain about how ready pre-service teachers are and their level of engagement in an online learning model of instruction. The purpose of this study was to investigate the readiness and engagement of pre-service teachers for online learning in Indonesia. This study used a non-experimental quantitative research design. Data were gathered from a sample of 285 pre-service teachers using a questionnaire. Data were analysed using WINSTEPS Rasch model measurement software version 4.30. Descriptive statistical analysis was used to examine pre-service teachers’ readiness and engagement of pre-service teachers for an online learning model of instruction, and a Differential Item Functioning (DIF) analysis was carried out to specifically assess their readiness and engagement for online learning based on their gender and age. Findings indicate pre-service teachers were not ready for online learning during the Covid-19 Pandemic in Indonesia. However, pre-service teachers were found to be actively engaged in online learning. Further analysis indicated there were differences in pre-service teachers’ readiness and engagement in online learning based on their gender and age. This study provides insight into pre-service teachers towards an online learning model of instruction in Indonesia, discusses implications, and offers recommendations for future research. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Springer Science and Business Media Deutschland GmbH 2022 Article PeerReviewed Laksmiwati, Pasttita Ayu and Adams, Donnie and Sulistyawati, Eka (2022) Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis. Lecture Notes in Networks and Systems, 299. 326 – 340. ISSN 2367-3370, DOI https://doi.org/10.1007/978-3-030-82616-1_29 <https://doi.org/10.1007/978-3-030-82616-1_29>. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113465685&doi=10.1007%2f978-3-030-82616-1_29&partnerID=40&md5=058022b875ab0d89bab3a8df9149b63e 10.1007/978-3-030-82616-1_29 |
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L Education (General) LB Theory and practice of education Laksmiwati, Pasttita Ayu Adams, Donnie Sulistyawati, Eka Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis |
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The widespread of the COVID-19 pandemic has challenged training institutions to rethink the execution of their training programs. New approaches to teaching and learning are now needed due to the forced shift to e-learning modes. However, questions remain about how ready pre-service teachers are and their level of engagement in an online learning model of instruction. The purpose of this study was to investigate the readiness and engagement of pre-service teachers for online learning in Indonesia. This study used a non-experimental quantitative research design. Data were gathered from a sample of 285 pre-service teachers using a questionnaire. Data were analysed using WINSTEPS Rasch model measurement software version 4.30. Descriptive statistical analysis was used to examine pre-service teachers’ readiness and engagement of pre-service teachers for an online learning model of instruction, and a Differential Item Functioning (DIF) analysis was carried out to specifically assess their readiness and engagement for online learning based on their gender and age. Findings indicate pre-service teachers were not ready for online learning during the Covid-19 Pandemic in Indonesia. However, pre-service teachers were found to be actively engaged in online learning. Further analysis indicated there were differences in pre-service teachers’ readiness and engagement in online learning based on their gender and age. This study provides insight into pre-service teachers towards an online learning model of instruction in Indonesia, discusses implications, and offers recommendations for future research. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
format |
Article |
author |
Laksmiwati, Pasttita Ayu Adams, Donnie Sulistyawati, Eka |
author_facet |
Laksmiwati, Pasttita Ayu Adams, Donnie Sulistyawati, Eka |
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Laksmiwati, Pasttita Ayu |
title |
Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis |
title_short |
Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis |
title_full |
Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis |
title_fullStr |
Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis |
title_full_unstemmed |
Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis |
title_sort |
pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: a rasch analysis |
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Springer Science and Business Media Deutschland GmbH |
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2022 |
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http://eprints.um.edu.my/43207/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113465685&doi=10.1007%2f978-3-030-82616-1_29&partnerID=40&md5=058022b875ab0d89bab3a8df9149b63e |
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1784586070524952576 |
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