The relation of online learning analytics, approaches to learning and academic achievement in a clinical skills course
| Autor: | Otto L.T. Lam, Michael G. Botelho, Albert K. M. Chan |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
E-learning (theory) Learning analytics 030209 endocrinology & metabolism Academic achievement Education Education Distance 03 medical and health sciences 0302 clinical medicine Internal medicine medicine Humans Remedial education General Dentistry Education Dental Psychomotor learning Medical education Academic Success business.industry Endocrinology Summative assessment Analytics 030220 oncology & carcinogenesis Learning Management Clinical Competence Educational Measurement Psychology business |
| Zdroj: | European journal of dental education : official journal of the Association for Dental Education in EuropeREFERENCES. 25(3) |
| ISSN: | 1600-0579 |
| Popis: | INTRODUCTION This study examined relationships of students' access of e-learning (learning analytics) for a healthcare psychomotor skills course, approaches to learning (R-SPQ-2F psychometric) and academic achievement (summative examination results). An understanding of the relationships may help in supporting students learning. METHODS Two consecutive cohorts of 5th year dental students were asked to complete the R-SPQ-2F questionnaire and permission to access data of online videos and associated quizzes and two summative written examination results were examined. The summative assessments were an OSCA and a written-paper question both in prosthodontics. Multiple linear regression and correlation analysis were performed. RESULTS Students (n=98) performed a total of 10470 video access events and 7714 attempts in online quizzes. Deep learning approach was the strongest predictor variable (β=0.270; P=.004) on written-paper question result. While video and quiz access were moderately correlated (r=0.600; P |
| Databáze: | OpenAIRE |
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