Open AccessEVALUATION OF DISTANCE LEARNING SYSTEM (E-LEARNING): A SYSTEMATIC LITERATURE REVIEW
Author(s) -
Ignatius Adrian Mastan,
Dana Indra Sensuse,
Ryan Randy Suryono,
Kautsarina Kautsarina
Publication year - 2022
Publication title -
jurnal teknoinfo
Language(s) - English
Resource type - Journals
eISSN - 2615-224X
pISSN - 1693-0010
DOI - 10.33365/jti.v16i1.1736
Subject(s) - scopus , computer science , field (mathematics) , distance education , artificial intelligence , mathematics education , psychology , mathematics , medline , political science , pure mathematics , law
Research in the field of e-learning is currently experiencing rapid development, especially due to the covid 19 pandemic. The application of e-learning in the world of education is currently the main thing and requires evaluation of its use. This study aims to determine the evaluation of models and trends in the development of e-learning (Learning Management System). Applying the Kitchenham approach, this System Literature Review (SLR) uses three main databases including Science Direct, ACM, SCOPUS. The final result obtained 38 articles published between 2016 and 2021. From this SLR, it was found that there were 7 criteria, namely Platform, Evaluation Model, Evaluation, Model, Approach, Problem, Trend and Challenge. These 7 criteria can be used for further research on e-learning. Thus this research provides knowledge about criteria that can be used further in research on E-learning and provides insight into its state-of-the-art.