Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms

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Abstract
The utilization of E-learning platforms has attracted considerable attention recently. Universities are increasingly adopting diverse E-learning platforms that offer a range of features to enhance student satisfaction and promote their sustained utilization of E-learning platforms. The task of consistently engaging and encouraging students to use E-learning platforms remains a persistent challenge. Many students tend to discontinue their participation in E-Learning platform courses, showing reluctance towards sustained engagement with the platform. Therefore, this research analyses the essential factors impacting students’ inclination to sustain their utilization of the E-Learning platform. The present study uses the "Expectation Confirmation Model" (ECM) with four factors: "interactivity", "social influences", "computer self-efficacy", and "perceived enjoyment". A survey was administered to college students via online Google Forms, resulting in 362 respondents. The data analysis is conducted using the Smart-PLS 4 Programme. Based on its findings, the study presented a “conceptual framework” for the sustained utilization of E-learning platforms. Results show that perceived enjoyment, satisfaction, interactivity, computer self-efficacy, and social influences impact continuing intention. This research indicates that satisfaction has the most substantial consequence on students’ intention to persist in utilizing E-Learning platforms. The model prediction power (R2) is 70 %, which can explain the users’ continuous intention.

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