Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success
This study aimed to investigate the potential human-computer interaction factors (HCI) affecting students’ behavioural intentions (BI) to use the e-learning system and perceive success. This paper proposes a comprehensive model, integrating the technology acceptance model (TAM) and unifie...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10854441/ |
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| author | Fareed Al-Sayid Gokhan Kirkil |
| author_facet | Fareed Al-Sayid Gokhan Kirkil |
| author_sort | Fareed Al-Sayid |
| collection | DOAJ |
| description | This study aimed to investigate the potential human-computer interaction factors (HCI) affecting students’ behavioural intentions (BI) to use the e-learning system and perceive success. This paper proposes a comprehensive model, integrating the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT). The data were collected via an online survey conducted on 232 students utilizing the Khas Learn system of Kadir has University in Turkey. The proposed hypotheses were tested by multi-linear regression. The results illustrated that the main predictors of students’ success (SS) are behaviour intention, ease of use, usefulness, visual design, and learner interface interactivity which explained 53.6% of perceived success in using the system. While, the main predictors of BI are facilitating condition, effort expectancy, ease of use, and usefulness which explained 71% of the variance in continuance intentions to use e-learning. Therefore, the empirical findings provide strong backing to the technological-social-psychological dimensions extended by HCI main factors, which showed a high explanatory power in accepting e-learning technology and leads to enhance the SS, where five of the model’s goodness-of-fit values meet five criteria of structural equation modeling (SEM). |
| format | Article |
| id | doaj-art-8ffaa86063004da2bb7324851d17ee51 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-8ffaa86063004da2bb7324851d17ee512025-01-31T23:05:10ZengIEEEIEEE Access2169-35362025-01-0113207202073910.1109/ACCESS.2025.353474010854441Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive SuccessFareed Al-Sayid0https://orcid.org/0000-0003-0850-8709Gokhan Kirkil1https://orcid.org/0000-0001-9213-007XIndustrial Engineering Department, Faculty of Graduate Students, Kadir Has University, İstanbul, TürkiyeFaculty of Engineering and Natural Sciences, Kadir Has University, İstanbul, TürkiyeThis study aimed to investigate the potential human-computer interaction factors (HCI) affecting students’ behavioural intentions (BI) to use the e-learning system and perceive success. This paper proposes a comprehensive model, integrating the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT). The data were collected via an online survey conducted on 232 students utilizing the Khas Learn system of Kadir has University in Turkey. The proposed hypotheses were tested by multi-linear regression. The results illustrated that the main predictors of students’ success (SS) are behaviour intention, ease of use, usefulness, visual design, and learner interface interactivity which explained 53.6% of perceived success in using the system. While, the main predictors of BI are facilitating condition, effort expectancy, ease of use, and usefulness which explained 71% of the variance in continuance intentions to use e-learning. Therefore, the empirical findings provide strong backing to the technological-social-psychological dimensions extended by HCI main factors, which showed a high explanatory power in accepting e-learning technology and leads to enhance the SS, where five of the model’s goodness-of-fit values meet five criteria of structural equation modeling (SEM).https://ieeexplore.ieee.org/document/10854441/Technology acceptance model (TAM)UTAUT modelhuman computer interaction (HCI)students’ successe-learningself-efficacy |
| spellingShingle | Fareed Al-Sayid Gokhan Kirkil Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success IEEE Access Technology acceptance model (TAM) UTAUT model human computer interaction (HCI) students’ success e-learning self-efficacy |
| title | Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success |
| title_full | Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success |
| title_fullStr | Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success |
| title_full_unstemmed | Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success |
| title_short | Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Success |
| title_sort | integrating technology acceptance model with utaut to increase the explanatory power of the effect of hci on students x2019 intention to use e learning system and perceive success |
| topic | Technology acceptance model (TAM) UTAUT model human computer interaction (HCI) students’ success e-learning self-efficacy |
| url | https://ieeexplore.ieee.org/document/10854441/ |
| work_keys_str_mv | AT fareedalsayid integratingtechnologyacceptancemodelwithutauttoincreasetheexplanatorypoweroftheeffectofhcionstudentsx2019intentiontouseelearningsystemandperceivesuccess AT gokhankirkil integratingtechnologyacceptancemodelwithutauttoincreasetheexplanatorypoweroftheeffectofhcionstudentsx2019intentiontouseelearningsystemandperceivesuccess |