Digital learning ecosystem at educational institutions: A content analysis of scholarly discourse
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
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.
Executive Summary
The article 'Digital learning ecosystem at educational institutions: A content analysis of scholarly discourse' provides a comprehensive analysis of the digital learning ecosystem (DLE) in educational institutions based on scholarly discourse from 2002 to 2021. The study identifies core components and models of DLE, the roles of these components, and the enabler and barrier factors influencing DLE. The findings highlight the importance of interactions between components in enhancing educational quality and the impact of internal and external factors on DLE development. The study also identifies several limitations in previous research, including the lack of analysis on teacher-supporter interaction, emerging technologies, and issues related to copyright and intellectual property. The research offers valuable insights for future studies and practical implications for policy-makers, administrators, and educators.
Key Points
- ▸ The study analyzes the digital learning ecosystem (DLE) based on scholarly discourse from 2002 to 2021.
- ▸ Core components and models of DLE, roles of components, and enabler and barrier factors are identified.
- ▸ Interactions between components enhance educational quality, and internal and external factors influence DLE development.
- ▸ Limitations in previous research include lack of analysis on teacher-supporter interaction, emerging technologies, and copyright issues.
- ▸ The study provides implications for future research and practical applications for educational stakeholders.
Merits
Comprehensive Analysis
The study provides a thorough analysis of the DLE, covering various components, models, and factors influencing its development.
Identification of Key Themes
The research effectively identifies and categorizes key themes related to DLE, including components, roles, and enabler/barrier factors.
Practical Implications
The study offers practical implications for policy-makers, administrators, and educators, making it relevant for real-world applications.
Demerits
Limited Scope of Analysis
The study acknowledges limitations in previous research, such as the lack of analysis on teacher-supporter interaction and emerging technologies, which could have been addressed more comprehensively.
Sample Size
The analysis is based on a relatively small sample size of 35 publications, which may limit the generalizability of the findings.
Temporal Focus
The study focuses on a broad time frame (2002-2021), which may not capture the most recent developments and trends in DLE.
Expert Commentary
The article provides a valuable contribution to the understanding of digital learning ecosystems in educational institutions. The comprehensive analysis of scholarly discourse offers a solid foundation for future research and practical applications. However, the study's limitations, such as the relatively small sample size and the broad time frame, suggest that further research is needed to capture the most recent developments and trends in DLE. The identification of key themes and the practical implications make this study relevant for educators, administrators, and policy-makers. The study's emphasis on the need for further analysis of emerging technologies and copyright issues highlights the dynamic nature of the field and the importance of staying abreast of technological advancements and legal considerations. Overall, the article serves as a useful resource for those interested in the design and implementation of effective digital learning ecosystems.
Recommendations
- ✓ Future research should focus on a larger and more recent sample of scholarly discourse to capture the latest developments in DLE.
- ✓ Studies should explore the role of emerging technologies like AI, AR, VR, and IoT in enhancing the digital learning experience.
- ✓ Researchers should investigate the impact of teacher-supporter interaction on the learning process and how it can be improved.
- ✓ Policy-makers and educational institutions should develop guidelines and frameworks to address copyright and intellectual property issues in the integration of digital content into learning management systems.