Factors Influencing Students' Continuance Intention Toward Usage of E-Learning Systems in Tanzania: The Hybrid of ECM and ISSM Models

Factors Influencing Students' Continuance Intention Toward Usage of E-Learning Systems in Tanzania: The Hybrid of ECM and ISSM Models

Deogratius Mathew Lashayo, Julius Raphael Athuman Mhina
DOI: 10.4018/IJMDWTFE.311431
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Abstract

Few studies have investigated factors influencing students' continuance intention to use e-learning systems based on expectation-confirmation model (ECM). However, many of them have not examined all factors from ECM and that of information system success model (ISSM); rather, they picked few from both models. The crucial gap of this study is to integrate all factors from ECM and that of ISSM and propose a model for continuance intention to use e-learning systems and validates the proposed model using a sample of 424 drawn from students in four HLIs in Tanzania (i.e., IFM, CBE, DIT, and IAA). The structural equation modelling (SEM) technique was employed in analysing the collected data. The findings of this study reveal that satisfaction is the strongest predictor of students' continuance intention. Furthermore, two quality factors (information and system) are significant exogenous predictors of students' continuance intention. The resulting model showed significantly enhanced explained variance. The implications of this study and its limitations are also discussed.
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Introduction

The E-learning system is a significant innovation in the education setting. It is a web-based information system that facilitates learning and teaching in which materials are processed, stored and shared (Mcgill & Klobas, 2009). Specifically, it refers to “learning technology that uses web-browsers as the primary means of interaction with learners, and the Internet or an intranet as the primary means of communication among its subsystems and with other systems” (Ngai, Poon, & Chan, 2007). Furthermore, it has been applied to support administration and communication among objects involved in learning and teaching (NurakunKyzy, Ismailova, & Dündar, 2018). It also provides users with access to it anytime and anywhere. These systems have been adopted in higher learning institutions (HLIs) to partner with traditional learning and teaching systems. HLI, in this context, means an institution that provides formal tertiary education training and ultimately awards learners with certificates, diplomas or degrees. The rate of adoption of e-learning systems has continued to grow daily. For instance, the adoption of e-learning systems in HLIs in the United Kingdom (U.K.) is 95%, while in Tanzania is 46% (Lashayo & Johar, 2017). In developing countries, the rate is 52%, compared to 49% in Africa, and worldwide the rate is 65% (Aparicio, Bacao, & Oliveira, 2016).

Students are one of the key stakeholders in the learning setting. They consistently partner with lecturers in accomplishing a cycle of learning and teaching. In some cases, they collaborate in creating learning content. With the e-learning system being adopted, then the HLIs would be interested in knowing what factors would make this big group of participants (students) have a feeling and behavior or attempt to reuse the e-learning system after first-time use (Lee, 2010; Terzis, Moridis, & Economides, 2013; Thong, Hong, & Tam, 2006).

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