A Systematic Review of Online Persistent Learning: Methodologies, Findings and Issues

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Bibliographic Details
Title: A Systematic Review of Online Persistent Learning: Methodologies, Findings and Issues
Language: English
Authors: Gaojun Shi (ORCID 0000-0003-2457-2209), Yan Li, Rustam Shadiev (ORCID 0000-0001-5571-1158)
Source: British Journal of Educational Technology. 2026 57(2):395-422.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 28
Publication Date: 2026
Document Type: Journal Articles
Information Analyses
Descriptors: Electronic Learning, Academic Persistence, Educational Research, Research Methodology, Barriers, Evaluation
DOI: 10.1111/bjet.70036
ISSN: 0007-1013
1467-8535
Abstract: Online persistent learning is a significant and growing field of study. Despite the numerous published studies on this topic, there is a notable lack of comprehensive reviews that analyse these studies, particularly in terms of their methodologies, findings and the issues reported by researchers. This study aims to systematically review twenty-seven papers on online persistent learning, evaluating them across nine dimensions. It offers a synthesized conceptualization of OPL that clarifies its scope, variability and core components and identifies key patterns related to learning environments, research designs, pedagogical strategies and technological applications. The results show that most studies focus on higher education students, employ short- to medium-term course durations and rely heavily on quantitative methods such as log data analysis. Assessment, engagement, interaction and discussion are frequent strategies to support online persistent learning, whereas the use of tools remains limited. Based on these results, this study highlights two key gaps. First, AI-supported learning activities remain limited, making it challenging to sustain learner persistence. Second, there is a lack of mixed-method and longitudinal research designs necessary to examine the dynamic nature of OPL. For researchers, this underscores the need for more integrative and longitudinal investigations to capture the nuanced processes underlying persistence. For practitioners, the findings suggest that persistence is not merely a function of platform or content design but is closely tied to how learning activities are supported and personalized.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1496243
Database: ERIC
Description
Abstract:Online persistent learning is a significant and growing field of study. Despite the numerous published studies on this topic, there is a notable lack of comprehensive reviews that analyse these studies, particularly in terms of their methodologies, findings and the issues reported by researchers. This study aims to systematically review twenty-seven papers on online persistent learning, evaluating them across nine dimensions. It offers a synthesized conceptualization of OPL that clarifies its scope, variability and core components and identifies key patterns related to learning environments, research designs, pedagogical strategies and technological applications. The results show that most studies focus on higher education students, employ short- to medium-term course durations and rely heavily on quantitative methods such as log data analysis. Assessment, engagement, interaction and discussion are frequent strategies to support online persistent learning, whereas the use of tools remains limited. Based on these results, this study highlights two key gaps. First, AI-supported learning activities remain limited, making it challenging to sustain learner persistence. Second, there is a lack of mixed-method and longitudinal research designs necessary to examine the dynamic nature of OPL. For researchers, this underscores the need for more integrative and longitudinal investigations to capture the nuanced processes underlying persistence. For practitioners, the findings suggest that persistence is not merely a function of platform or content design but is closely tied to how learning activities are supported and personalized.
ISSN:0007-1013
1467-8535
DOI:10.1111/bjet.70036