Factors influencing instructors’ intentions to use information technologies in higher education amid the pandemic
In today's world where digital transformation is taking place very strongly with the effect of the pandemic, there has been a transition from face-to-face education to online education. In this respect, examining variables that affect the instructors' intention to use these technologies du...
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Veröffentlicht in: | Education and information technologies 2021-07, Vol.26 (4), p.4795-4820 |
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description | In today's world where digital transformation is taking place very strongly with the effect of the pandemic, there has been a transition from face-to-face education to online education. In this respect, examining variables that affect the instructors' intention to use these technologies during the pandemic has a critical role in terms of the quality of education both during and after the pandemic. The purpose of the study is to determine the variables that affect the instructors’ intentions to use ITs by extending TAM and to examine the roles of individual differences (moderators) in the proposed model. Data were collected online from 321 faculty members working at various universities in fall semester 2020. PLS-SEM technique and multi-group analysis were used in data analysis. The proposed model explains 75.3% of the intention. The results showed that self-efficacy, perceived enjoyment, compatibility and facilitating conditions affect the intention to use IT. The most influential construct among these was compatibility. In addition, contrary to expectations, perceived usefulness and perceived ease of use, which are expressed as the most critical determinants, and openness and resistance to change, which are important personality traits, did not affect intention. The results provide valuable information about education during the pandemic, which can contribute to improving the quality of education during and after the pandemic. Multi-group analysis revealed that all of the moderators (gender, age, and experience) had an influence on the various relationships. Accordingly, implications for research and practice are discussed. |
doi_str_mv | 10.1007/s10639-021-10497-0 |
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In this respect, examining variables that affect the instructors' intention to use these technologies during the pandemic has a critical role in terms of the quality of education both during and after the pandemic. The purpose of the study is to determine the variables that affect the instructors’ intentions to use ITs by extending TAM and to examine the roles of individual differences (moderators) in the proposed model. Data were collected online from 321 faculty members working at various universities in fall semester 2020. PLS-SEM technique and multi-group analysis were used in data analysis. The proposed model explains 75.3% of the intention. The results showed that self-efficacy, perceived enjoyment, compatibility and facilitating conditions affect the intention to use IT. The most influential construct among these was compatibility. In addition, contrary to expectations, perceived usefulness and perceived ease of use, which are expressed as the most critical determinants, and openness and resistance to change, which are important personality traits, did not affect intention. The results provide valuable information about education during the pandemic, which can contribute to improving the quality of education during and after the pandemic. Multi-group analysis revealed that all of the moderators (gender, age, and experience) had an influence on the various relationships. Accordingly, implications for research and practice are discussed.</description><identifier>ISSN: 1360-2357</identifier><identifier>EISSN: 1573-7608</identifier><identifier>DOI: 10.1007/s10639-021-10497-0</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; College teachers ; Computer Appl. in Social and Behavioral Sciences ; Computer Science ; Computers and Education ; Data Analysis ; Distance Education ; Education ; Education, Higher ; Educational Quality ; Educational Technology ; Epidemics ; Individual Differences ; Information Systems Applications (incl.Internet) ; Intention ; Online education ; Pandemics ; Personality Traits ; Quality of education ; Self Efficacy ; Teachers ; Universities ; User Interfaces and Human Computer Interaction</subject><ispartof>Education and information technologies, 2021-07, Vol.26 (4), p.4795-4820</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-f370d84e85f5f6dd41ab617116b0fbe1b5d78abe003208afeb42a4b657dfb19d3</citedby><cites>FETCH-LOGICAL-c386t-f370d84e85f5f6dd41ab617116b0fbe1b5d78abe003208afeb42a4b657dfb19d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10639-021-10497-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10639-021-10497-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Sahin, Ferhan</creatorcontrib><creatorcontrib>Dogan, Ezgi</creatorcontrib><creatorcontrib>Ilic, Ulas</creatorcontrib><creatorcontrib>Sahin, Yusuf Levent</creatorcontrib><title>Factors influencing instructors’ intentions to use information technologies in higher education amid the pandemic</title><title>Education and information technologies</title><addtitle>Educ Inf Technol</addtitle><description>In today's world where digital transformation is taking place very strongly with the effect of the pandemic, there has been a transition from face-to-face education to online education. In this respect, examining variables that affect the instructors' intention to use these technologies during the pandemic has a critical role in terms of the quality of education both during and after the pandemic. The purpose of the study is to determine the variables that affect the instructors’ intentions to use ITs by extending TAM and to examine the roles of individual differences (moderators) in the proposed model. Data were collected online from 321 faculty members working at various universities in fall semester 2020. PLS-SEM technique and multi-group analysis were used in data analysis. The proposed model explains 75.3% of the intention. The results showed that self-efficacy, perceived enjoyment, compatibility and facilitating conditions affect the intention to use IT. The most influential construct among these was compatibility. In addition, contrary to expectations, perceived usefulness and perceived ease of use, which are expressed as the most critical determinants, and openness and resistance to change, which are important personality traits, did not affect intention. The results provide valuable information about education during the pandemic, which can contribute to improving the quality of education during and after the pandemic. Multi-group analysis revealed that all of the moderators (gender, age, and experience) had an influence on the various relationships. 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In this respect, examining variables that affect the instructors' intention to use these technologies during the pandemic has a critical role in terms of the quality of education both during and after the pandemic. The purpose of the study is to determine the variables that affect the instructors’ intentions to use ITs by extending TAM and to examine the roles of individual differences (moderators) in the proposed model. Data were collected online from 321 faculty members working at various universities in fall semester 2020. PLS-SEM technique and multi-group analysis were used in data analysis. The proposed model explains 75.3% of the intention. The results showed that self-efficacy, perceived enjoyment, compatibility and facilitating conditions affect the intention to use IT. The most influential construct among these was compatibility. 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subjects | Analysis College teachers Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Data Analysis Distance Education Education Education, Higher Educational Quality Educational Technology Epidemics Individual Differences Information Systems Applications (incl.Internet) Intention Online education Pandemics Personality Traits Quality of education Self Efficacy Teachers Universities User Interfaces and Human Computer Interaction |
title | Factors influencing instructors’ intentions to use information technologies in higher education amid the pandemic |
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