Education Commons^™

Health Profession Education Students’ Satisfaction Toward Online Courses During The Covid-19 Pandemic, Diantha Soemantri, Zhafirah Salsabila, Vernonia Yorasaki

Makara Journal of Health Research

Background: Given the extensive use of e-learning, especially during the COVID-19 pandemic, a validated instrument is deemed important for continuous evaluation. This study aimed to measure health profession education students’ satisfaction toward the e-learning process within all health sciences cluster (HSC) courses, following further validation of the satisfaction scale for the e-learning process.

Methods: A cross-sectional study using an exploratory factor analysis (EFA) was conducted to validate the 29-item Indonesian version of the satisfaction scale for the e-learning process. That the validated tool was used to measure 2,471 students’ satisfaction toward the e-learning process.

Results: The EFA …

E-Learning Course Recommender System Using Collaborative Filtering Models, Kalyan Kumar Jena, Sourav Kumar Bhoi, Tushar Kanta Malik, Kshira Sagar Sahoo, N. Z. Jhanjhi, Sajal Bhatia, Fathi Amsaad

School of Computer Science & Engineering Faculty Publications

e-Learning is a sought-after option for learners during pandemic situations. In e-Learning platforms, there are many courses available, and the user needs to select the best option for them. Thus, recommender systems play an important role to provide better automation services to users in making course choices. It makes recommendations for users in selecting the desired option based on their preferences. This system can use machine intelligence (MI)-based techniques to carry out the recommendation mechanism. Based on the preferences and history, this system is able to know what the users like most. In this work, a recommender system is proposed …