Factors of Online Learning Engagement and Their Impact on Value Co-Creation among Students: A Structural Equation Modelling Approach

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Bibliographic Details
Title: Factors of Online Learning Engagement and Their Impact on Value Co-Creation among Students: A Structural Equation Modelling Approach
Language: English
Authors: Anjali Singh, Azra Ishrat, Tripti Barthwal, Ankur Rani, Manish Mishra
Source: On the Horizon. 2025 33(2):199-222.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 24
Publication Date: 2025
Intended Audience: Teachers; Administrators
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Electronic Learning, Learner Engagement, Student Experience, Graduate Students, Student Attitudes, Student Motivation, Cognitive Processes, Psychological Patterns, Social Behavior, Cooperation, Foreign Countries, Influences
Geographic Terms: India
DOI: 10.1108/OTH-11-2024-0075
ISSN: 1074-8121
2054-1708
Abstract: Purpose: The study aims to identify the key factors influencing online learning engagement and explore their impact on value co-creation among students. It seeks to offer insights into enhancing student experiences in digital education environments. Design/methodology/approach: This study uses a quantitative research design, using structural equation modelling (SEM) to analyse data collected via structured questionnaire. Participants were graduate students from tier 1 cities in India, representing diverse academic disciplines. The study focuses on four key dimensions of online learning engagement: behavioural, cognitive, emotional and social. SEM was used to investigate the relationships between engagement factors, student motivation and value co-creation in online learning. Findings: The results reveal that behavioural and social engagement (SE) are strong positive predictors of student motivation, fostering active participation and a sense of community. Conversely, cognitive and emotional engagement negatively correlates with motivation, highlighting the need to manage these dimensions to avoid decreasing student motivation carefully. Research limitations/implications: The study is limited to graduate students from tier 1 cities in India. Further research could explore diverse student groups across educational contexts to validate the results. The study highlights the need for a balanced approach to online learning design. Practical implications: Educators and administrators can use the findings to design more engaging and motivating online learning environments. Emphasis on fostering behavioural and SE, alongside managing cognitive and emotional aspects, can lead to enhanced student motivation and better value co-creation in digital education settings. Social implications: The study emphasises the importance of community building in online learning environments, which can improve students' educational experience and outcomes. Promoting engagement through social interaction may help bridge gaps in social connectivity, particularly in remote learning contexts, contributing to a more inclusive and supportive learning environment. Originality/value: This research offers novel insights into the relationship between different dimensions of online learning engagement and value co-creation. Using SEM, the study presents a robust framework for understanding how engagement factors influence motivation and educational outcomes, adding value to online education strategies and fostering more effective learning experiences.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1498056
Database: ERIC
Description
Abstract:Purpose: The study aims to identify the key factors influencing online learning engagement and explore their impact on value co-creation among students. It seeks to offer insights into enhancing student experiences in digital education environments. Design/methodology/approach: This study uses a quantitative research design, using structural equation modelling (SEM) to analyse data collected via structured questionnaire. Participants were graduate students from tier 1 cities in India, representing diverse academic disciplines. The study focuses on four key dimensions of online learning engagement: behavioural, cognitive, emotional and social. SEM was used to investigate the relationships between engagement factors, student motivation and value co-creation in online learning. Findings: The results reveal that behavioural and social engagement (SE) are strong positive predictors of student motivation, fostering active participation and a sense of community. Conversely, cognitive and emotional engagement negatively correlates with motivation, highlighting the need to manage these dimensions to avoid decreasing student motivation carefully. Research limitations/implications: The study is limited to graduate students from tier 1 cities in India. Further research could explore diverse student groups across educational contexts to validate the results. The study highlights the need for a balanced approach to online learning design. Practical implications: Educators and administrators can use the findings to design more engaging and motivating online learning environments. Emphasis on fostering behavioural and SE, alongside managing cognitive and emotional aspects, can lead to enhanced student motivation and better value co-creation in digital education settings. Social implications: The study emphasises the importance of community building in online learning environments, which can improve students' educational experience and outcomes. Promoting engagement through social interaction may help bridge gaps in social connectivity, particularly in remote learning contexts, contributing to a more inclusive and supportive learning environment. Originality/value: This research offers novel insights into the relationship between different dimensions of online learning engagement and value co-creation. Using SEM, the study presents a robust framework for understanding how engagement factors influence motivation and educational outcomes, adding value to online education strategies and fostering more effective learning experiences.
ISSN:1074-8121
2054-1708
DOI:10.1108/OTH-11-2024-0075