Student Readiness on Online Learning in Higher Education: An Empirical Study

Abstract

Exposure to Covid-19 is a challenge for universities to implement an online learning system. The development of industrial technology, especially industry 4.0, requires every college graduate to have not only cognitive abilities but also problem-solving abilities. The research was in the mining engineering department, Faculty of Engineering, Universitas Negeri Padang, Indonesia. Therefore, identifying the elements that influence student readiness in online learning will enable universities to establish strategies to improve online learning quality. It is also the goal of this research. This study describes a model that measures student readiness in online learning in 3 dimensions: Self-management of Learning, lecturer quality, and access to technology. Besides, the impact of each construct on student readiness is estimated through the Partial Least Square Structural Equation Model (PLS-SEM). Then to identify the improvements in increasing student readiness, an Important-Performance Map Analysis (IPMA) is needed. From the 157 students, the R2 value was 0.582 (moderate), which affected online learning readiness. In addition, the quality of lectures was 0.351 (weak), and internet access needed to be improved. Thus, it is hoped that learning strategies can be applied to increase student activity in learning.