Analysis of the Effectiveness of the Use of Digital Technology in Distance Learning during the Pandemic
Keywords:
distance learning, digital technologies, learning effectiveness, the COVID-19 pandemic, Online EducationAbstract
The COVID-19 pandemic has triggered major disruption to the global education system and forced a massive shift from face-to-face learning to digital technology-based distance learning. This rapid and wide-scale change raises fundamental questions about the effectiveness of the use of digital technology in supporting the quality of learning processes and outcomes. This study aims to analyze the effectiveness of the use of digital technology in distance learning during the pandemic through a systematic literature study of empirical articles with international reputation. The study used a systematic literature review approach by analyzing 62 Scopus and Web of Science indexed Q1 journal articles published in the 2020–2024 period. The analysis was carried out thematically, focusing on the dimensions of academic achievement, learning engagement, perception of learning quality, and psychosocial impact. The results of the study show that digital technology in general is able to maintain the sustainability of learning and maintain academic achievement in certain contexts, especially higher education. However, this effectiveness is contextual and influenced by the quality of pedagogical design, digital literacy readiness, and socio-economic conditions of students. Additionally, fluctuating learning engagement, digital fatigue, and technology access gaps emerged as key challenges in distance learning during the pandemic. These findings confirm that digital technology cannot be seen as a universal solution, but rather as part of a learning ecosystem that requires mature pedagogical integration and access-equity-oriented policy support. This research makes a conceptual contribution in understanding the effectiveness of digital learning in crisis situations and becomes the basis for the development of sustainable digital learning models in the post-pandemic era.
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