Cargando…

Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country

Emergency remote teaching (ERT) is a new concept that describes the context in which instructional delivery is switched entirely online due to crisis circumstances. Recent research in such a context has been focused either on exploring the unique learning environment and enabling factors or on instr...

Descripción completa

Detalles Bibliográficos
Autores principales: Dibra, Sidita, Gerdoçi, Blendi, Sula, Gerda, Kurti, Sllavka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441826/
http://dx.doi.org/10.1007/s40692-022-00239-7
_version_ 1784782673421533184
author Dibra, Sidita
Gerdoçi, Blendi
Sula, Gerda
Kurti, Sllavka
author_facet Dibra, Sidita
Gerdoçi, Blendi
Sula, Gerda
Kurti, Sllavka
author_sort Dibra, Sidita
collection PubMed
description Emergency remote teaching (ERT) is a new concept that describes the context in which instructional delivery is switched entirely online due to crisis circumstances. Recent research in such a context has been focused either on exploring the unique learning environment and enabling factors or on instructors’ intended behavior, with few studies exploring the students’ perspective. This study aims to contribute to the literature on technology-mediated teaching and learning by deepening the knowledge of the factors determining students’ behavioral intentions (BI) in ERT settings, using a survey of 487 graduate students attending public and non-public universities in Albania conducted during the COVID-19 pandemic lockdown period. The Technology Acceptance Model (TAM) was employed to explore the chain relationship between ease of use (EASYUSE), expected efficiency (EE), attitudes (ATT), and BI. We expand the TAM model and increase its explanatory power by introducing new variables, such as co-presence (CP), and emergent variables, such as lack of learning materials and time constraints. Variance-based partial least squares techniques were used to validate our conceptual model. As hypothesized, EE and EASYUSE have a direct, positive effect on BI and an indirect effect via ATT. CP does not influence the BI directly but only indirectly via ATT and EE. Finally, the lack of learning materials is shown to negatively affect EE. While some of the findings have limited generalizability the specific research setting provides a unique opportunity to investigate the critical role of interactive teaching methods and learning barriers on students’ intentions and ATT. The fresh insights gained from the extended TAM model have important implications concerning the effective and systematic use of online modalities in similar settings. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s40692-022-00239-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-9441826
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-94418262022-09-06 Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country Dibra, Sidita Gerdoçi, Blendi Sula, Gerda Kurti, Sllavka J. Comput. Educ. Article Emergency remote teaching (ERT) is a new concept that describes the context in which instructional delivery is switched entirely online due to crisis circumstances. Recent research in such a context has been focused either on exploring the unique learning environment and enabling factors or on instructors’ intended behavior, with few studies exploring the students’ perspective. This study aims to contribute to the literature on technology-mediated teaching and learning by deepening the knowledge of the factors determining students’ behavioral intentions (BI) in ERT settings, using a survey of 487 graduate students attending public and non-public universities in Albania conducted during the COVID-19 pandemic lockdown period. The Technology Acceptance Model (TAM) was employed to explore the chain relationship between ease of use (EASYUSE), expected efficiency (EE), attitudes (ATT), and BI. We expand the TAM model and increase its explanatory power by introducing new variables, such as co-presence (CP), and emergent variables, such as lack of learning materials and time constraints. Variance-based partial least squares techniques were used to validate our conceptual model. As hypothesized, EE and EASYUSE have a direct, positive effect on BI and an indirect effect via ATT. CP does not influence the BI directly but only indirectly via ATT and EE. Finally, the lack of learning materials is shown to negatively affect EE. While some of the findings have limited generalizability the specific research setting provides a unique opportunity to investigate the critical role of interactive teaching methods and learning barriers on students’ intentions and ATT. The fresh insights gained from the extended TAM model have important implications concerning the effective and systematic use of online modalities in similar settings. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s40692-022-00239-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2022-09-05 /pmc/articles/PMC9441826/ http://dx.doi.org/10.1007/s40692-022-00239-7 Text en © Beijing Normal University 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Dibra, Sidita
Gerdoçi, Blendi
Sula, Gerda
Kurti, Sllavka
Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
title Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
title_full Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
title_fullStr Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
title_full_unstemmed Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
title_short Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
title_sort predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441826/
http://dx.doi.org/10.1007/s40692-022-00239-7
work_keys_str_mv AT dibrasidita predictingbehaviouralintentionamonggraduatestudentsinemergencyremoteteachingevidencefromatransitioncountry
AT gerdociblendi predictingbehaviouralintentionamonggraduatestudentsinemergencyremoteteachingevidencefromatransitioncountry
AT sulagerda predictingbehaviouralintentionamonggraduatestudentsinemergencyremoteteachingevidencefromatransitioncountry
AT kurtisllavka predictingbehaviouralintentionamonggraduatestudentsinemergencyremoteteachingevidencefromatransitioncountry