Instructional design qualities of E-learning courses as predictors of learner satisfaction and continuance use intention in selected Ugandan higher learning institutions /

Literature has established that adherence to sound instructional design principles is critical to the success of E-learning interventions. Moreover, with the ever-growing proliferation of E-learning courses as an alternative mode of instructional delivery, stakeholder feedback regarding the instruct...

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Bibliographic Details
Main Author: Bashir, Kishabale (Author)
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Education, International Islamic University Malaysia, 2019
Subjects:
Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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245 1 0 |a Instructional design qualities of E-learning courses as predictors of learner satisfaction and continuance use intention in selected Ugandan higher learning institutions /  |c by Kishabale Bashir 
264 1 |a Kuala Lumpur :  |b Kulliyyah of Education, International Islamic University Malaysia,  |c 2019 
300 |a xviii, 283 leaves :  |b colour illustrations ;  |c 30cm. 
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502 |a Thesis (Ph.D)--International Islamic University Malaysia, 2019. 
504 |a Includes bibliographical references (leaves 228-251). 
520 |a Literature has established that adherence to sound instructional design principles is critical to the success of E-learning interventions. Moreover, with the ever-growing proliferation of E-learning courses as an alternative mode of instructional delivery, stakeholder feedback regarding the instructional design worthiness of such courses is of essence. Thus, this study assessed the causal relationships between instructional design qualities of E-learning courses, learner satisfaction and continuance use intention in selected higher learning institutions in Uganda. It specifically focused on the influence of: content quality, interface design quality and instructional strategies on learner satisfaction. Secondly, the influence of learner satisfaction on continuance use intention was further determined. A self-administered questionnaire was distributed to 837 students who had enrolled into CISCO E-learning courses from ten selected higher learning institutions in Uganda. A quantitative cross-sectional survey approach with proportionate sampling technique was employed for the current study. The study integrated Khan's E-learning framework, Al-Zarnūjī's Theory of Quality Learning, DeLone and McLean Information System Success Model and Bhattacherjee's Information Systems Continuance Model as its theoretical framework. The collected data were analysed using descriptive statistics, Confirmatory Factor Analysis (CFA) and full-fledged Structural Equation Modeling (SEM). The results from the quantitative data reveal that over 75% of the learners agreed that the E-learning courses had met the required instructional design standards, 80% of the learners expressed their satisfaction with the courses, and 71% expressed intentions to enrol in the courses in future. Additionally, the CFA results indicated that the scale used in the study was psychometrically sound in terms of convergent and discriminant validity; and composite reliability. The full-fledged SEM results further revealed that the hypothesised model showed adequate fit to the data. It can be highlighted that content quality; interface design quality and instructional strategies exerted a significant positive influence on learner satisfaction. Similarly, learner satisfaction had a statistically significant influence on continuance use intention. The results of this study have implications regarding theory for E-learning success research, practical applications regarding the design of E-learning interventions; and methodology for evaluating the effectiveness of E-learning programmes. 
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