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Ayat Eltayar,1 Soha Rashed Aref,2 Hoda Mahmoud Khalifa,3 Abdullah Said Hammad4 1Medical Education Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt; 2Community Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt; 3Histology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt; 4Orthopaedic and Traumatology Department, Faculty of Medicine, Alexandria University, Alexandria, EgyptCorrespondence: Ayat Eltayar, Medical Education Department, Faculty of Medicine, Alexandria University, Elazarita Campus, Champollion Street, Medical Education Building, Third Floor, Alexandria, Egypt, Tel +20- 1200009661, Email ayat.eltayar@alexmed.edu.egBackground: The concepts of online and blended education came into the limelight in the 19th century. Over time, the concepts expanded and reached a peak in 2021 in response to the COVID-19 lockdown. One of the challenges is the monitoring of the performance of distant learners. In face-to-face courses, an instructor can easily identify struggling learners during the regular meetings.Aim of the Study: This study explored variables that can predict the academic achievement of learners early in online learning environments. Although there was no consensus, the factors were still hypothesized as predictors for academic achievement.Methods: A quasi-experimental study was conducted to test the hypothesis. Thirty-three graduate learners were enrolled in a blended trauma course. The learnersâ age, their previous experiences in online education, pre-test scores, and the number of logs to the online platform were studied. These elements were considered as predictors of academic achievement in the online aspect of the course.Results: The findings revealed that there was no statistically significant correlation between the age, the previous experience in online education, the pre-test scores, and the number of logs in the first two weeks. However, there was a statistically significant correlation between the number of logs into the online platform in the first three weeks of study and the learnersâ academic achievement. Additionally, the number of logs in the first three weeks was a statistically significant predictor for academic achievement in online education. This early prediction can help instructors to identify and support struggling learners.Conclusion: The records of the online activity of learners in the first three weeks of study can help in early prediction of their academic achievement. Age, previous online education, and pretest scores were not statistically significant predictors.Keywords: academic achievement, prediction, learning analytics, online education, graduate learning |
