Key Elements for E-Learning Success in the Context of the Coronavirus Crisis

Datos Bibliográficos

ID22258352
AutoresNuphanudin Nuphanudin (0000-0001-5684-063X, Universitas Negeri Surabaya), Rahmahdan Qalbi Yosafikri (Badan Pusat Statistik), Aldila Nisa Ilmatu Tsaabita, Agnes Pratiwi Senduk (State University of Malang), Muhammad Iqbal (0000-0001-8002-0551, Institut Agama Islam Negeri Bengkulu), Ainun Ma’rifah (Ministry of Home Affairs), Muhammad Kristiawan (0000-0002-1077-4013, University of Bengkulu)
Año2023
Volumen4
Número4
Páginas590-598
Fecha de publicación2023-10-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaTafkir Interdisciplinary Journal of Islamic Education (JOURNAL)
Identificadores de la revistaISSN: 2723-4975 • E-ISSN: 2723-4975
EditorialInstitut Pesantren Kh. Abdul Chalim Pact Mojokerto (PUBLISHER)
DOI10.31538/tijie.v4i4.601
OpenAlexW4388801908
IdiomaEN
Referencias citadas8

Using the Analytical Multi-Criteria Hierarchy (AHP) approach and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), this article seeks to discover crucial success criteria for e-learning during COVID-19 in order to enhance process education. Based on established assessment criteria and multi-channel e-learning methodologies, data was gathered by interviewing 69 e-learning leaders in educational institutions during COVID-19. We discovered that managing technology, assisting management, educating students about the usage of the e-learning platform, and requiring a high level of information technology exchange from the lecturer are all important. Universities, staff, and students have had the biggest influence on online learning during COVID-19. The most useful of the five learning models is blended learning. These findings show that e-learning preparation plays a significant impact in boosting the educational process during the COVID-19 pandemic, regardless of the specific technology used by an educational institution

Analytic hierarchy process · Blended Learning · E learning · Educational technology · Knowledge management · Mathematics education · Operations research · Computer Science · Engineering · Medicine · Organizational and Employee Performance · Psychology · Technology-Enhanced Education Studies · Artificial Intelligence