Work from Home: Determinant of Individual Learning for Lecturers-Student

Abstract

The spread of Covid-19 throughout the world prompted the WHO to establish a pandemic status. This condition is also experienced by Indonesia, where 187,537 people died. This situation encourages the government to make policies in the form of social distancing through the work from home (WFH) program. No exception, the Ministry of Education determines the status of WFH from early childhood education to higher education. For higher education, e-learning has become a program in the development of learning, especially in the 4.0 era. However, not all lecturers and students have the capability in e-learning. The purpose of this research is to explore individual learning for lecturers and students in the context of WFH. The research was carried out throughout Indonesia by distributing questionnaires via a google form. The distribution is carried out for 6 (six) weeks, through various networks. The responses from distributing questionnaires were 420 respondents. Data analysis was performed using factor analysis through SPSS. The results show that all the items analyzed can explain the factors forming the Individual Learning variable. There are 3 (three) forming factors, self-directedness, acquiring, and applying new knowledge, and realizing learning opportunities.

Intelligent Tutoring System Design Using Markov Decision Process

“…Model learning in the network (online) is divided into 2 again, namely: deep learning network (online) synchronously, and learning in the network (online) asynchronously. Synchronous Online Learning is learning that uses internet network by utilizing an application where teachers and students are siwi communicate at the same time without pause [2].…”