Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model
Abstract This study investigated student–teachers’ continuous intention to use mobile learning management system. The sample size of the participants was two hundred and sixty-one. The participants responded to online survey questionnaires consisting of items from the combination of both technology...
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Springer
2025-03-01
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| Series: | Discover Education |
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| Online Access: | https://doi.org/10.1007/s44217-025-00447-0 |
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| author | Charles Buabeng-Andoh |
| author_facet | Charles Buabeng-Andoh |
| author_sort | Charles Buabeng-Andoh |
| collection | DOAJ |
| description | Abstract This study investigated student–teachers’ continuous intention to use mobile learning management system. The sample size of the participants was two hundred and sixty-one. The participants responded to online survey questionnaires consisting of items from the combination of both technology acceptance and the expectation confirmatory models. To perform the data analysis, the structural equation modeling was adopted as the key method. The inquiry revealed that the combined model had a robust predictive power to elucidate student–teachers’ continuous intention to operate technology. In addition, the expectation confirmatory model constructs were important in elucidation student–teachers' intention to continue to use technology as compared to the technology acceptance model constructs. On the whole, satisfaction had the greatest impact on the continuous intention to use technology. This research adds to the current body of knowledge by creating an integrated model using technology acceptance model and expectation confirmatory model to predict the continuous intention to use mobile learning management system among student–teachers in school. In addition, this study adds to research on determinants influencing student–teachers' continuous use of technology in schools in the emerging economies context. |
| format | Article |
| id | doaj-art-e5826b69880c45768a1613bee9e17821 |
| institution | OA Journals |
| issn | 2731-5525 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Education |
| spelling | doaj-art-e5826b69880c45768a1613bee9e178212025-08-20T01:56:01ZengSpringerDiscover Education2731-55252025-03-014111910.1007/s44217-025-00447-0Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory modelCharles Buabeng-Andoh0Department of ICT Education, University of EducationAbstract This study investigated student–teachers’ continuous intention to use mobile learning management system. The sample size of the participants was two hundred and sixty-one. The participants responded to online survey questionnaires consisting of items from the combination of both technology acceptance and the expectation confirmatory models. To perform the data analysis, the structural equation modeling was adopted as the key method. The inquiry revealed that the combined model had a robust predictive power to elucidate student–teachers’ continuous intention to operate technology. In addition, the expectation confirmatory model constructs were important in elucidation student–teachers' intention to continue to use technology as compared to the technology acceptance model constructs. On the whole, satisfaction had the greatest impact on the continuous intention to use technology. This research adds to the current body of knowledge by creating an integrated model using technology acceptance model and expectation confirmatory model to predict the continuous intention to use mobile learning management system among student–teachers in school. In addition, this study adds to research on determinants influencing student–teachers' continuous use of technology in schools in the emerging economies context.https://doi.org/10.1007/s44217-025-00447-0Technology acceptance model (TAM)Expectation confirmatory model (ECM)Student–teachersStructural equation modelIntegrated modelContinuous intention |
| spellingShingle | Charles Buabeng-Andoh Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model Discover Education Technology acceptance model (TAM) Expectation confirmatory model (ECM) Student–teachers Structural equation model Integrated model Continuous intention |
| title | Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model |
| title_full | Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model |
| title_fullStr | Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model |
| title_full_unstemmed | Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model |
| title_short | Investigating student–teachers' continuous intention to use mobile learning management system: the technology acceptance model and expectation confirmatory model |
| title_sort | investigating student teachers continuous intention to use mobile learning management system the technology acceptance model and expectation confirmatory model |
| topic | Technology acceptance model (TAM) Expectation confirmatory model (ECM) Student–teachers Structural equation model Integrated model Continuous intention |
| url | https://doi.org/10.1007/s44217-025-00447-0 |
| work_keys_str_mv | AT charlesbuabengandoh investigatingstudentteacherscontinuousintentiontousemobilelearningmanagementsystemthetechnologyacceptancemodelandexpectationconfirmatorymodel |