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Technology, Knowledge and Learning: Learning mathematics, science and the arts in the context of digital technologies ; 27(4):1337-1355, 2022.
Article in English | APA PsycInfo | ID: covidwho-2257245

ABSTRACT

The current study is based on thematic analysis of 21,722 tweets posted under the #wedontwantdistanceeducation hashtag within a month after the start of online distance education in Turkish universities due to Covid-19 pandemic. Our findings have revealed that Turkish higher education students have faced multiple challenges in accessing and benefiting from online education due to the swift transformation from face-to-face to online format. These challenges included universities' poor technical infrastructure, pedagogical and assessment issues, digital inequality in accessing online education, and general negative attitude towards online education. Further, students have expressed issues about financial, health, and social consequences of online education during Covid-19 pandemic. With regards to such challenges and issues, higher education students have criticized government authorities for ignoring their views when making decisions about how online learning is organized during Covid-19 pandemic. Further, students have offered some alternative solutions (e.g. summer courses) to online education. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

2.
Technology, Knowledge and Learning ; 2022.
Article in English | Web of Science | ID: covidwho-2014256

ABSTRACT

The current study is based on thematic analysis of 21,722 tweets posted under the #wedontwantdistanceeducation hashtag within a month after the start of online distance education in Turkish universities due to Covid-19 pandemic. Our findings have revealed that Turkish higher education students have faced multiple challenges in accessing and benefiting from online education due to the swift transformation from face-to-face to online format. These challenges included universities' poor technical infrastructure, pedagogical and assessment issues, digital inequality in accessing online education, and general negative attitude towards online education. Further, students have expressed issues about financial, health, and social consequences of online education during Covid-19 pandemic. With regards to such challenges and issues, higher education students have criticized government authorities for ignoring their views when making decisions about how online learning is organized during Covid-19 pandemic. Further, students have offered some alternative solutions (e.g. summer courses) to online education.

3.
J Comput Assist Learn ; 37(6): 1553-1565, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1367330

ABSTRACT

Covid-19 pandemic has caused a massive transformation in K-12 settings towards online education. It is important to explore the factors that facilitate online teaching technology adoption of teachers during the pandemic. The aim of this study was to compare Learning Management System (LMS) acceptance of Finnish K-12 teachers who have been using a specific LMS as part of their regular teaching before the Covid-19 pandemic (experienced group) and teachers who started using it for emergency remote teaching during the pandemic (inexperienced group). Based on the Unified Theory of Acceptance and Use of Technology framework, a self-report questionnaire was administered to 196 teachers (n experienced = 127; n inexperienced = 69). Our findings showed no difference between the two groups of teachers in terms of performance expectancy, effort expectancy, LMS self-efficacy and satisfaction. However, the experienced group had higher behavioural intention to use LMS in the future, reported receiving higher online teaching support and displayed higher online teaching self-efficacy in terms of student engagement, classroom management, instructional strategies and ICT skills. For the experienced group, the most significant predictor of satisfaction with LMS was performance expectancy whereas for the inexperienced group, it was the effort expectancy. In terms of behavioural intention to use LMS in the future, the most significant predictor was the performance expectancy for both groups. Further, support was also a significant predictor of behavioural intention for the inexperienced group. Overall, our findings indicate that teachers should not be regarded as a unified profile when managing technology adoption in schools.

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