Assessing Undergraduate Students’ e-Learning Competencies: A Case Study of Higher Education Context in Indonesia

The COVID-19 pandemic that occurred in early 2020 around the world has implications for Indonesia’s education sector. This pandemic led to the Indonesian government policy to study from home at all academic levels using a distance learning approach. Studies on e-learning preparedness in Indonesia in...
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Gespeichert in:

Autor*in:	Ati Suci Dian Martha [verfasserIn] Kasiyah Junus [verfasserIn] Harry Budi Santoso [verfasserIn] Heru Suhartanto [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	e-learning students’ e-learning preparedness e-learning competency Rasch analysis online learning

Übergeordnetes Werk:	In: Education Sciences - MDPI AG, 2012, 11(2021), 4, p 189
Übergeordnetes Werk:	volume:11 ; year:2021 ; number:4, p 189

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/educsci11040189

Katalog-ID:	DOAJ03093611X

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allfieldsSound	10.3390/educsci11040189 doi (DE-627)DOAJ03093611X (DE-599)DOAJ8762685caa884bdd945c5beb990bad21 DE-627 ger DE-627 rakwb eng Ati Suci Dian Martha verfasserin aut Assessing Undergraduate Students’ e-Learning Competencies: A Case Study of Higher Education Context in Indonesia 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The COVID-19 pandemic that occurred in early 2020 around the world has implications for Indonesia’s education sector. This pandemic led to the Indonesian government policy to study from home at all academic levels using a distance learning approach. Studies on e-learning preparedness in Indonesia involving more comprehensive samples of universities during the pandemic are still limited. This study extended samples from several public and private universities in Indonesia to get a broader picture of e-learning readiness in various faculties with diverse university online learning cultures. This study used Rasch analysis to determine the validity and reliability of the instrument and differential item functioning (DIF) analysis to identify responses based on students’ demographic profiles. The results show that most students were ready to study online, but a few were not ready. Moreover, the results show significant differences in students’ e-learning readiness based on the academic year at university, the field of study, the level of organizational e-learning culture of the university, gender, and region. This work provides an insight into student readiness to study online, especially in higher education in Indonesia. The article presents the implications of online learning practices in universities and recommendations for future e-learning research. e-learning students’ e-learning preparedness e-learning competency Rasch analysis online learning Education L Kasiyah Junus verfasserin aut Harry Budi Santoso verfasserin aut Heru Suhartanto verfasserin aut In Education Sciences MDPI AG, 2012 11(2021), 4, p 189 (DE-627)737287543 (DE-600)2704213-3 22277102 nnns volume:11 year:2021 number:4, p 189 https://doi.org/10.3390/educsci11040189 kostenfrei https://doaj.org/article/8762685caa884bdd945c5beb990bad21 kostenfrei https://www.mdpi.com/2227-7102/11/4/189 kostenfrei https://doaj.org/toc/2227-7102 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 4, p 189
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author	Ati Suci Dian Martha
spellingShingle	Ati Suci Dian Martha misc e-learning misc students’ e-learning preparedness misc e-learning competency misc Rasch analysis misc online learning misc Education misc L Assessing Undergraduate Students’ e-Learning Competencies: A Case Study of Higher Education Context in Indonesia
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title	Assessing Undergraduate Students’ e-Learning Competencies: A Case Study of Higher Education Context in Indonesia
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title_sort	assessing undergraduate students’ e-learning competencies: a case study of higher education context in indonesia
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abstract	The COVID-19 pandemic that occurred in early 2020 around the world has implications for Indonesia’s education sector. This pandemic led to the Indonesian government policy to study from home at all academic levels using a distance learning approach. Studies on e-learning preparedness in Indonesia involving more comprehensive samples of universities during the pandemic are still limited. This study extended samples from several public and private universities in Indonesia to get a broader picture of e-learning readiness in various faculties with diverse university online learning cultures. This study used Rasch analysis to determine the validity and reliability of the instrument and differential item functioning (DIF) analysis to identify responses based on students’ demographic profiles. The results show that most students were ready to study online, but a few were not ready. Moreover, the results show significant differences in students’ e-learning readiness based on the academic year at university, the field of study, the level of organizational e-learning culture of the university, gender, and region. This work provides an insight into student readiness to study online, especially in higher education in Indonesia. The article presents the implications of online learning practices in universities and recommendations for future e-learning research.
abstractGer	The COVID-19 pandemic that occurred in early 2020 around the world has implications for Indonesia’s education sector. This pandemic led to the Indonesian government policy to study from home at all academic levels using a distance learning approach. Studies on e-learning preparedness in Indonesia involving more comprehensive samples of universities during the pandemic are still limited. This study extended samples from several public and private universities in Indonesia to get a broader picture of e-learning readiness in various faculties with diverse university online learning cultures. This study used Rasch analysis to determine the validity and reliability of the instrument and differential item functioning (DIF) analysis to identify responses based on students’ demographic profiles. The results show that most students were ready to study online, but a few were not ready. Moreover, the results show significant differences in students’ e-learning readiness based on the academic year at university, the field of study, the level of organizational e-learning culture of the university, gender, and region. This work provides an insight into student readiness to study online, especially in higher education in Indonesia. The article presents the implications of online learning practices in universities and recommendations for future e-learning research.
abstract_unstemmed	The COVID-19 pandemic that occurred in early 2020 around the world has implications for Indonesia’s education sector. This pandemic led to the Indonesian government policy to study from home at all academic levels using a distance learning approach. Studies on e-learning preparedness in Indonesia involving more comprehensive samples of universities during the pandemic are still limited. This study extended samples from several public and private universities in Indonesia to get a broader picture of e-learning readiness in various faculties with diverse university online learning cultures. This study used Rasch analysis to determine the validity and reliability of the instrument and differential item functioning (DIF) analysis to identify responses based on students’ demographic profiles. The results show that most students were ready to study online, but a few were not ready. Moreover, the results show significant differences in students’ e-learning readiness based on the academic year at university, the field of study, the level of organizational e-learning culture of the university, gender, and region. This work provides an insight into student readiness to study online, especially in higher education in Indonesia. The article presents the implications of online learning practices in universities and recommendations for future e-learning research.
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