Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools

In today's technologically-driven educational landscape, mobile learning systems (MBL) have progressively risen to become critical tools for effective education delivery in many rural schools. Like in most developing countries, the education sector in Zimbabwe plays a critical role in facilitat...

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Main Authors: Muzurura, Joe, Chigora, Farai, Mutambara, Emmanuel, Zvavahera, Promise, Ndlovu, Joram
Format: Article
Language:English
Published: International Journal of Education and Practice 2022
Subjects:
Online Access:https://eric.ed.gov/?id=EJ1295409
http://hdl.handle.net/11408/4735
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author Muzurura, Joe
Chigora, Farai
Mutambara, Emmanuel
Zvavahera, Promise
Ndlovu, Joram
author_facet Muzurura, Joe
Chigora, Farai
Mutambara, Emmanuel
Zvavahera, Promise
Ndlovu, Joram
author_sort Muzurura, Joe
collection DSpace
description In today's technologically-driven educational landscape, mobile learning systems (MBL) have progressively risen to become critical tools for effective education delivery in many rural schools. Like in most developing countries, the education sector in Zimbabwe plays a critical role in facilitating human capital development and economic growth and development. However, the country's rural secondary schools are still lagging behind urban secondary schools in embracing MBLs. The adoption of MBLs could represent a significant breakthrough not only in terms of reducing educational costs but also for providing effective and efficient learning and teaching processes. The adoption and acceptance of MBLs is likely to transform rural secondary school students' lives by enabling them to access cheap education and also to meaningfully contribute to the eradication of poverty and hunger in their communities. The study employed structural equation modelling where data was collected with the aid of a structured questionnaire from 100 randomly selected respondents attending rural schools in Guruve and Chiota Rural Districts. The findings show that the likelihood of adopting or deferring the adoption of MBLs in rural secondary schools is influenced by factors such as perceived usefulness, compatibility, perceived ease of use, social influence, learner and teacher's autonomy, relative advantages and learner awareness. Policies that increase usage of mobile banking learning systems in rural secondary schools especially the reduction in transaction cost, perceived risk, complexity of user interfaces are recommended.
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spelling ir-11408-47352022-06-27T13:49:06Z Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools Muzurura, Joe Chigora, Farai Mutambara, Emmanuel Zvavahera, Promise Ndlovu, Joram Secondary schools Rural schools Mobile learning systems UTAUT model Multinomial logit regression In today's technologically-driven educational landscape, mobile learning systems (MBL) have progressively risen to become critical tools for effective education delivery in many rural schools. Like in most developing countries, the education sector in Zimbabwe plays a critical role in facilitating human capital development and economic growth and development. However, the country's rural secondary schools are still lagging behind urban secondary schools in embracing MBLs. The adoption of MBLs could represent a significant breakthrough not only in terms of reducing educational costs but also for providing effective and efficient learning and teaching processes. The adoption and acceptance of MBLs is likely to transform rural secondary school students' lives by enabling them to access cheap education and also to meaningfully contribute to the eradication of poverty and hunger in their communities. The study employed structural equation modelling where data was collected with the aid of a structured questionnaire from 100 randomly selected respondents attending rural schools in Guruve and Chiota Rural Districts. The findings show that the likelihood of adopting or deferring the adoption of MBLs in rural secondary schools is influenced by factors such as perceived usefulness, compatibility, perceived ease of use, social influence, learner and teacher's autonomy, relative advantages and learner awareness. Policies that increase usage of mobile banking learning systems in rural secondary schools especially the reduction in transaction cost, perceived risk, complexity of user interfaces are recommended. 2022-03-24T12:20:29Z 2022-03-24T12:20:29Z 2021 Article 2310-3868 2311-6897 https://eric.ed.gov/?id=EJ1295409 http://hdl.handle.net/11408/4735 en International Journal of Education and Practice;Vol. 9; No. 1: p. 201-219 open International Journal of Education and Practice
spellingShingle Secondary schools
Rural schools
Mobile learning systems
UTAUT model
Multinomial logit regression
Muzurura, Joe
Chigora, Farai
Mutambara, Emmanuel
Zvavahera, Promise
Ndlovu, Joram
Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools
title Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools
title_full Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools
title_fullStr Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools
title_full_unstemmed Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools
title_short Determinants of mobile learning systems' adoption in Zimbabwe rural secondary schools
title_sort determinants of mobile learning systems' adoption in zimbabwe rural secondary schools
topic Secondary schools
Rural schools
Mobile learning systems
UTAUT model
Multinomial logit regression
url https://eric.ed.gov/?id=EJ1295409
http://hdl.handle.net/11408/4735
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AT mutambaraemmanuel determinantsofmobilelearningsystemsadoptioninzimbabweruralsecondaryschools
AT zvavaherapromise determinantsofmobilelearningsystemsadoptioninzimbabweruralsecondaryschools
AT ndlovujoram determinantsofmobilelearningsystemsadoptioninzimbabweruralsecondaryschools