Application and effectiveness of blended learning in medical imaging via the technology acceptance model
Abstract Blended learning, which integrates online education with face-to-face instruction, is becoming an increasingly vital component of higher education. While there is an extensive research on blended learning, studies specifically examining student perceptions in the field of medical imaging ar...
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| Format: | Article |
| Language: | English |
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BMC
2025-05-01
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| Series: | BMC Medical Education |
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| Online Access: | https://doi.org/10.1186/s12909-025-07293-6 |
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| author | Xiaofen Sun Jianghua Wan Zhiqun Li Rong Tu Juan Lin Xiaohua Li Jianqiang Chen |
| author_facet | Xiaofen Sun Jianghua Wan Zhiqun Li Rong Tu Juan Lin Xiaohua Li Jianqiang Chen |
| author_sort | Xiaofen Sun |
| collection | DOAJ |
| description | Abstract Blended learning, which integrates online education with face-to-face instruction, is becoming an increasingly vital component of higher education. While there is an extensive research on blended learning, studies specifically examining student perceptions in the field of medical imaging are limited. This study investigates the satisfaction and behavioral intentions of students enrolled in a blended "Medical Imaging" course at Hainan Medical University. We employed a quantitative research approach, using a modified Technology Acceptance Model (TAM) questionnaire to fit the specific context of blended learning. Data were collected from 145 valid responses and analyzed using SPSS 26 and Smart-PLS 3.3.3. The findings reveal that blended learning positively impacts student satisfaction and engagement, underscoring its value in higher education. Additionally, the study supports the integration of the TAM to enhance the effectiveness of blended learning for students. |
| format | Article |
| id | doaj-art-72c1e5fdca0b4131a9a846c3264e47cf |
| institution | OA Journals |
| issn | 1472-6920 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Education |
| spelling | doaj-art-72c1e5fdca0b4131a9a846c3264e47cf2025-08-20T01:53:23ZengBMCBMC Medical Education1472-69202025-05-0125111510.1186/s12909-025-07293-6Application and effectiveness of blended learning in medical imaging via the technology acceptance modelXiaofen Sun0Jianghua Wan1Zhiqun Li2Rong Tu3Juan Lin4Xiaohua Li5Jianqiang Chen6Department of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical UniversityUWE College of Hainan Medical UniversityDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical UniversityDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical UniversityDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical UniversityDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical UniversityDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical UniversityAbstract Blended learning, which integrates online education with face-to-face instruction, is becoming an increasingly vital component of higher education. While there is an extensive research on blended learning, studies specifically examining student perceptions in the field of medical imaging are limited. This study investigates the satisfaction and behavioral intentions of students enrolled in a blended "Medical Imaging" course at Hainan Medical University. We employed a quantitative research approach, using a modified Technology Acceptance Model (TAM) questionnaire to fit the specific context of blended learning. Data were collected from 145 valid responses and analyzed using SPSS 26 and Smart-PLS 3.3.3. The findings reveal that blended learning positively impacts student satisfaction and engagement, underscoring its value in higher education. Additionally, the study supports the integration of the TAM to enhance the effectiveness of blended learning for students.https://doi.org/10.1186/s12909-025-07293-6Blended learningTechnology Acceptance Model (TAM)Student behavioral intentionHigher education technologyMedical imaging |
| spellingShingle | Xiaofen Sun Jianghua Wan Zhiqun Li Rong Tu Juan Lin Xiaohua Li Jianqiang Chen Application and effectiveness of blended learning in medical imaging via the technology acceptance model BMC Medical Education Blended learning Technology Acceptance Model (TAM) Student behavioral intention Higher education technology Medical imaging |
| title | Application and effectiveness of blended learning in medical imaging via the technology acceptance model |
| title_full | Application and effectiveness of blended learning in medical imaging via the technology acceptance model |
| title_fullStr | Application and effectiveness of blended learning in medical imaging via the technology acceptance model |
| title_full_unstemmed | Application and effectiveness of blended learning in medical imaging via the technology acceptance model |
| title_short | Application and effectiveness of blended learning in medical imaging via the technology acceptance model |
| title_sort | application and effectiveness of blended learning in medical imaging via the technology acceptance model |
| topic | Blended learning Technology Acceptance Model (TAM) Student behavioral intention Higher education technology Medical imaging |
| url | https://doi.org/10.1186/s12909-025-07293-6 |
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