Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms
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 consi...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10459024/ |
| _version_ | 1797243434824630272 |
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| author | Ahmed Obeid Roliana Ibrahim Ahmad Fadhil |
| author_facet | Ahmed Obeid Roliana Ibrahim Ahmad Fadhil |
| author_sort | Ahmed Obeid |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T18:55:04Z |
| format | Article |
| id | doaj.art-5ec5fe1f4f16451b936a17322383c553 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:55:04Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5ec5fe1f4f16451b936a17322383c5532024-03-26T17:43:33ZengIEEEIEEE Access2169-35362024-01-0112407524076410.1109/ACCESS.2024.337319010459024Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning PlatformsAhmed Obeid0https://orcid.org/0009-0008-6645-7923Roliana Ibrahim1https://orcid.org/0009-0008-6645-7923Ahmad Fadhil2Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaFaculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaFaculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaThe 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.https://ieeexplore.ieee.org/document/10459024/Continuous intentionE-learning platformsinteractivityperceived enjoyment |
| spellingShingle | Ahmed Obeid Roliana Ibrahim Ahmad Fadhil Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms IEEE Access Continuous intention E-learning platforms interactivity perceived enjoyment |
| title | Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms |
| title_full | Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms |
| title_fullStr | Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms |
| title_full_unstemmed | Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms |
| title_short | Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms |
| title_sort | extended model of expectation confirmation model to examine users x2019 continuous intention toward the utilization of e learning platforms |
| topic | Continuous intention E-learning platforms interactivity perceived enjoyment |
| url | https://ieeexplore.ieee.org/document/10459024/ |
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