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Academic Engagement Among First-Year Dental Students in Online Learning: A Structural Equation Modelling Approach
J F Brito-Ortiz1, M E Nava-Gómez1, M A Contreras-Preciado1
1Facultad De Ciencias De La Salud, Valle De Las Palmas, Universidad Autónoma De Baja California (UABC), Tijuana, México.
Academic engagement (AE) in online dental courses is psychometrically sound, with vigour driving dedication and absorption. Well-structured online learning fosters early academic involvement, enhancing persistence for future dental professionals.
Area of Science:
- Dental Education
- Online Learning
- Academic Engagement
Background:
- Assessing psychometric properties of academic engagement (AE) is crucial for online dental education.
- Understanding structural relationships among AE dimensions informs pedagogical strategies.
Purpose of the Study:
- To evaluate the psychometric properties of AE dimensions in fully online dental courses.
- To analyze the structural relationships among vigour, dedication, and absorption in first-year dental students.
Main Methods:
- Cross-sectional study with 593 dental students in fully online courses.
- Utilized the 9-item Spanish Utrecht Work Engagement Scale (UWES), culturally adapted.
- Employed structural equation modeling (SEM) to analyze interrelationships among AE dimensions.
Main Results:
- The UWES demonstrated strong internal consistency (α=0.77-0.88) and excellent total scale reliability (α=0.92).
- SEM analysis confirmed optimal model fit, indicating a validated multidimensional structure of AE in virtual learning environments.
- Vigour significantly predicted dedication (β=0.65) and absorption (β=0.60), with dedication also predicting absorption (β=0.58).
Conclusions:
- Academic engagement constructs are relevant in online dental education, with vigour identified as a key driver.
- Well-structured online learning can foster significant academic involvement in early dental training.
- Early engagement in online dental education may enhance academic persistence and preparedness for clinical training.
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