Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76436
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dc.contributor.authorJoel Alanya-Beltranen_US
dc.contributor.authorZaituna Khamidullinaen_US
dc.contributor.authorMohammad Yousef Alsarairehen_US
dc.contributor.authorRussell De Souzaen_US
dc.contributor.authorVahdet Tarakcien_US
dc.contributor.authorJeidy Panduro-Ramirezen_US
dc.contributor.authorNguyen Tan Hungen_US
dc.contributor.authorSupat Chupraditen_US
dc.contributor.authorMyla M. Arcinasen_US
dc.contributor.authorHoyan Hang Fung Caroleen_US
dc.date.accessioned2022-10-16T07:10:02Z-
dc.date.available2022-10-16T07:10:02Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn16975731en_US
dc.identifier.issn11333197en_US
dc.identifier.other2-s2.0-85120500798en_US
dc.identifier.other10.25115/eea.v39i12.6310en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120500798&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76436-
dc.description.abstractBecause of the growing pandemic of Corona Virus Disease-2019, Higher Education Institutions (HEIs) must utilize electronic learning (e-learning). Today's work economy, which is forever in flux because of the creation of new jobs and the continual disappearance of old ones, necessitates an on-the-job shift. Despite HEIs in less-wealthy nations like some countries of Asia being developed countries, in essence, it is much more difficult for students and teachers at these higher learning institutions to deal with the transition to e-learning due to their tight financial restrictions. This study sought to determine whether learners at the start of the COVID-19 Era were ready for e-learning and a connection between demographic variables and readiness for e-learning. A quantitative survey obtained information from 1200 students from elite higher educational institutions in South East Asia. A majority of respondents' scores lacked on the Online Learner Readiness Self-Assessment (OLRS). Inadequate OLRS findings among younger, female, and rural respondents. Factors affecting the success of students on the OLRS were age, sex, family socioeconomic status, and where they lived in the neighborhood. The inferences drawn from the study's findings would serve as an excellent benchmark to improve the delivery of e-learning processes.en_US
dc.subjectEconomics, Econometrics and Financeen_US
dc.titleStudents e-learning access in select higher learning institutions of less-economically developed south east asian nations: Implications for economics of educationen_US
dc.typeJournalen_US
article.title.sourcetitleEstudios de Economia Aplicadaen_US
article.volume39en_US
article.stream.affiliationsAstana Medical Universityen_US
article.stream.affiliationsUniversidad Tecnológica del Perúen_US
article.stream.affiliationsDe La Salle Universityen_US
article.stream.affiliationsAl-Balqa Applied Universityen_US
article.stream.affiliationsNational Taipei University of Technologyen_US
article.stream.affiliationsChinese University of Hong Kongen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsKHOJA AKHMET YASSAWI INTERNATIONAL KAZAKH-TURSKISH UNIVERSITYen_US
article.stream.affiliationsNirmala Institute of Educationen_US
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