Proceedings of the 5th International Conference on Indonesian Social and Political Enquiries, ICISPE 2020, 9-10 October 2020, Semarang, Indonesia

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.9-10-2020.2304760,
        author={Reni Shinta Dewi and Dinalestari  Purbawati and Robetmi  Pinem},
        title={Work from Home: Determinant of Individual Learning for Lecturers-Student},
        proceedings={Proceedings of the 5th International Conference on Indonesian Social and Political Enquiries, ICISPE 2020, 9-10 October 2020, Semarang, Indonesia},
        publisher={EAI},
        proceedings_a={ICISPE},
        year={2021},
        month={3},
        keywords={individual learning self-directedness new knowledge learning opportunities},
        doi={10.4108/eai.9-10-2020.2304760}
    }
    
  • Reni Shinta Dewi
    Dinalestari Purbawati
    Robetmi Pinem
    Year: 2021
    Work from Home: Determinant of Individual Learning for Lecturers-Student
    ICISPE
    EAI
    DOI: 10.4108/eai.9-10-2020.2304760
Reni Shinta Dewi1,*, Dinalestari Purbawati1, Robetmi Pinem1
  • 1: Universitas Diponegoro
*Contact email: renishinta@yahoo.co.id

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.