The Influences of Online Learning Factors on Open Distance Learning Satisfaction in Mathematics by Using Logistic Regression Analysis
Keywords:
Covid-19, Logistic Regression Analysis, Open and Distance Learning (ODL), Student Satisfaction, Online Learning.Abstract
Since the Coronavirus (COVID-19) outbreak in 2019, Open Distance Learning (ODL) has been implementing as an alternative learning method in the whole education system. In this study, we want to identify the online learning factors that influence on Open Distance Learning Satisfaction in Mathematics. Three faculties in UiTM Tapah consists of 336 students participated in this. A set of questionnaire are distributed among them and shared via Whatsapp or Telegram application to reduce contact due to COVID-19 standard operating procedure (SOP). Five main learning factors are being identified which are Online Learning Readiness, Self-Directed Learning, Technologies, Internet and Tools, Skills and Acceptance, and Motivation for Learning. The data collected is then analyzed using a Logistic Regression analysis to achieve the objective of this study.
