Digital learning ecosystem at educational institutions: A content analysis of scholarly discourse

Abstract

This paper explored the characteristics of the digital learning ecosystem (DLE) in educational institutions based on the analysis of English scholarly discourse from various sources between 2002 and 2021. The content analysis method was used to examine core conceptual elements from the existing models. Researchers used Google Scholar and other databases to collect sources using relevant keywords. In total, 35 publications were collected and analyzed to provide a general picture of themes, including (1) components/models of DLE, (2) roles of components in DLE, and (3) enabler and barrier factors on DLE. The findings showed that DLE included different components, and the interaction between them played important roles in enhancing the educational quality. Besides, the internal and external factors have influenced the development of a DLE. However, there are some limitations from previous research of the lack of the analysis of (1) the teacher–supporter interaction in learning process, (2) the emerging technologies (i.e., artificial intelligent (AI), augmented reality (AR), virtual reality (VR) and Internet of things (IoT) applied in the DLE, (3) and some issues pertaining the copyright, intellectual properties of learning contents and the integration of digital contents into learning management system. This study could be considered basic background for future research to select and design a DLE and conduct appropriate studies. In addition, this study has important implications for policy-makers, administrators, teachers, and other staff for educational institutions with respect to using DLEs to deploy effective solutions.