Predictive Factors of Students Engagement Online Learning for First Semester Faculty of Medicine UNISSULA Preclinical Students

Abstract

Background: the outbreak of COVID-19 pandemic causes havoc among many aspects of life including education. In Indonesia, 8 months since the first outbreak the mode of teaching have shifted from face to face problem based learning to online learning. The year 2020 preclinical students are the first batch students who undergo full online learning this semester due to the pandemic. Aims and objectives: This study aims to investigate the students engagement and willingness during online classes. Materials and methods: questionnaire items were developed based on aspects of problem based learning which include small group discussion, skill laboratory, practicum, lecture and online examination. The responses were based on 5 points Likert scale to rank the engagement, willingness of online learning and also the students understanding on the indicators as well as open responses to record their opinions on online learning. All the 2020 preclinical students (N=151) were given informed consent to participate in the study and were voluntarily participated afterwards. Multinomial regression analysis was conducted. Results: The logistic regression model was statistically significant X (12, N=151)= 33.94 = .27, p<0.001.The model explained 27% (Nagelkerke R ) of the variance in student engagement and correctly classified 70.9% correct prediction. Highly engage students was associated in likelihood of participating during small group discussion and practicum sessions.