Pre-service teachers’ readiness and engagement for online learning during the covid-19 pandemic: A rasch analysis

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.

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Abstract

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.

Item Type: Article
Funders: None
Additional Information: Cited by: 2; Conference name: International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2021; Conference date: 25 June 2021 through 26 June 2021; Conference code: 263669
Uncontrolled Keywords: Engagement; Online learning; Pre-service teachers; Rasch model; Readiness
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education
Divisions: Faculty of Education
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 19 Nov 2023 01:08
Last Modified: 03 Dec 2023 02:18
URI: http://eprints.um.edu.my/id/eprint/43207

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