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E-learning in universities in Uganda: predictors of successful adoption

Adoption of e-learning technology has been carried out by numerous universities in the developing countries with the aim of advancing the knowledge society and economic development. However, the adoption of e-learning technology in the said universities is fraught with challenges leading to low leve...

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Main Author: Namirembe, Esther
Other Authors: Kyobe, Michael
Format: Thesis
Language:English
Published: Department of Information Systems 2020
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access_status_str Open Access
author Namirembe, Esther
author2 Kyobe, Michael
author_browse Kyobe, Michael
Namirembe, Esther
author_facet Kyobe, Michael
Namirembe, Esther
author_sort Namirembe, Esther
collection Thesis
description Adoption of e-learning technology has been carried out by numerous universities in the developing countries with the aim of advancing the knowledge society and economic development. However, the adoption of e-learning technology in the said universities is fraught with challenges leading to low level use for instructional purposes. The study aims at: (i) identifying the predictors of successful adoption of e-learning, (ii) investigating causes of failures of past e-learning information systems initiatives, and (iii) developing a predictive framework for the advancement of e-learning programmes for universities in Uganda. In order to determine possible predictors of successful adoption, the researcher adopted the configurational (Gestalts) approach. The hypotheses were tested in a survey that involved 73 lecturers and 184 students from Uganda’s Makerere University and Gulu University. The respondents’ opinions are obtained using questionnaires and interviews and analysed using descriptive, clustering and deductive thematic analyses techniques. The research identified four analytical clusters from the target group of the lecturers, while the target group of the students are described by six analytical clusters. Results from cluster 1 among lecturers indicate that successful adoption is dependent on being familiar with the objectives of the university’s e-learning policies, finding time to experiment with ICT, availability of financial support and commitment of university management. However, it should be noted that while the study was conducted within two Universities, the majority of the lecturer respondents were from Makerere University. Therefore, while organisational characteristics contribute to the adoption of e-learning among lecturers, their influence is more pronounced in the established university, that is, Makerere. Both lecturers and students adopt e-learning facilities at later stages of their studies or career which raises great concern. The majority of the lecturers in the lead cluster were male and PhD holders while most of the students in the lead cluster were male and in their second year of study. Lecturers in Cluster 1 are adopters because of the knowledge and long-time experience with e-learning facilities compared to their counterparts in Clusters 2 and 3. Students in Cluster 4 were adopters because they had more knowledge and skills in the use of ICTs than their counterparts in the other clusters. Cluster 3 and 6 among lecturers and students respectively were least adopters of e-learning mainly because they were unfamiliar with the university e-learning policy. The main causes of failure of past e-learning information systems initiatives were lack of structured approach to e-learning and inadequate empowerment. From the cluster findings, a predictive framework for the advancement of e-learning programmes in universities in Uganda was developed. It was recommended that: adoption of e-learning technology should be encouraged during the early school years of the students and earlier career years of the academic if universities are to be competitive.
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language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2020
publishDateRange 2020
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spelling oai:open.uct.ac.za:11427/31840 E-learning in universities in Uganda: predictors of successful adoption Namirembe, Esther Kyobe, Michael information systems Adoption of e-learning technology has been carried out by numerous universities in the developing countries with the aim of advancing the knowledge society and economic development. However, the adoption of e-learning technology in the said universities is fraught with challenges leading to low level use for instructional purposes. The study aims at: (i) identifying the predictors of successful adoption of e-learning, (ii) investigating causes of failures of past e-learning information systems initiatives, and (iii) developing a predictive framework for the advancement of e-learning programmes for universities in Uganda. In order to determine possible predictors of successful adoption, the researcher adopted the configurational (Gestalts) approach. The hypotheses were tested in a survey that involved 73 lecturers and 184 students from Uganda’s Makerere University and Gulu University. The respondents’ opinions are obtained using questionnaires and interviews and analysed using descriptive, clustering and deductive thematic analyses techniques. The research identified four analytical clusters from the target group of the lecturers, while the target group of the students are described by six analytical clusters. Results from cluster 1 among lecturers indicate that successful adoption is dependent on being familiar with the objectives of the university’s e-learning policies, finding time to experiment with ICT, availability of financial support and commitment of university management. However, it should be noted that while the study was conducted within two Universities, the majority of the lecturer respondents were from Makerere University. Therefore, while organisational characteristics contribute to the adoption of e-learning among lecturers, their influence is more pronounced in the established university, that is, Makerere. Both lecturers and students adopt e-learning facilities at later stages of their studies or career which raises great concern. The majority of the lecturers in the lead cluster were male and PhD holders while most of the students in the lead cluster were male and in their second year of study. Lecturers in Cluster 1 are adopters because of the knowledge and long-time experience with e-learning facilities compared to their counterparts in Clusters 2 and 3. Students in Cluster 4 were adopters because they had more knowledge and skills in the use of ICTs than their counterparts in the other clusters. Cluster 3 and 6 among lecturers and students respectively were least adopters of e-learning mainly because they were unfamiliar with the university e-learning policy. The main causes of failure of past e-learning information systems initiatives were lack of structured approach to e-learning and inadequate empowerment. From the cluster findings, a predictive framework for the advancement of e-learning programmes in universities in Uganda was developed. It was recommended that: adoption of e-learning technology should be encouraged during the early school years of the students and earlier career years of the academic if universities are to be competitive. 2020-05-08T11:04:20Z 2020-05-08T11:04:20Z 2019 2020-05-08T09:39:17Z Doctoral Thesis Doctoral PhD https://hdl.handle.net/11427/31840 eng application/pdf Department of Information Systems Faculty of Commerce
spellingShingle information systems
Namirembe, Esther
E-learning in universities in Uganda: predictors of successful adoption
thesis_degree_str Doctoral
title E-learning in universities in Uganda: predictors of successful adoption
title_full E-learning in universities in Uganda: predictors of successful adoption
title_fullStr E-learning in universities in Uganda: predictors of successful adoption
title_full_unstemmed E-learning in universities in Uganda: predictors of successful adoption
title_short E-learning in universities in Uganda: predictors of successful adoption
title_sort e learning in universities in uganda predictors of successful adoption
topic information systems
url https://hdl.handle.net/11427/31840
work_keys_str_mv AT namirembeesther elearninginuniversitiesinugandapredictorsofsuccessfuladoption