Continuance Intention in Online Learning Environments

Continuance intention refers to the sustained use of digital learning platforms after initial adoption. It has become a central construct in understanding learner engagement and retention in massive open online courses (MOOCs), mobile learning and university e-learning portals. Research has demonstrated that satisfaction, confirmation of expectations and perceived usefulness are key drivers of continued engagement. Theoretical frameworks such as the Expectation-Confirmation Model and the Unified Theory of Acceptance and Use of Technology (UTAUT) underpin most investigations, integrating constructs like performance expectancy, effort expectancy and facilitating conditions. Recent work has broadened the lens to include contextual factors such as service and system quality, task-technology fit and e-learning readiness, as well as emergent variables such as gamification and social interaction. Practical applications range from platform design and instructional strategies to policy-level decisions that ensure equitable access and long-term viability of online learning across diverse socio-economic and cultural contexts. The global significance of continuance intention research is underscored by the accelerated adoption of online modalities during the COVID-19 pandemic, which has revealed both opportunities for scaling education and challenges in sustaining learner motivation over time.

Research from Nature Portfolio

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Continuance Intention in Online Learning Environments publication trend

The graph below shows the total number of articles in continuance intention in online learning environments across all publications each year (not limited to Nature Index journals).

Technical terms

Continuance Intention: A learner’s intention to persist with an online learning system after initial adoption.

Expectation-Confirmation Model (ECM): A theory positing that users’ satisfaction and continued use are driven by the confirmation of initial expectations and perceived usefulness.

Unified Theory of Acceptance and Use of Technology (UTAUT): A framework identifying performance expectancy, effort expectancy, social influence and facilitating conditions as determinants of technology adoption and continued use.

E-learning Readiness: The degree to which learners possess the technological skills, resources and attitudes required for effective online learning.

Perceived Usefulness: The extent to which a learner believes that using an online learning platform enhances their learning performance.

References

1. The effects of perceived usefulness, confirmation and satisfaction on continuance intention in using massive open online course (MOOC). Knowledge Management & E-Learning An International Journal (2019).
2. Massive Open Online Course (MOOCs) Acceptance: The Role of Task-Technology Fit (TTF) for Higher Education Sustainability. Sustainability (2021).
3. Towards Understanding the Students’ Acceptance of MOOCs: A Unified Theory of Acceptance and Use of Technology (UTAUT). International Journal of Emerging Technologies in Learning (iJET) (2021).
4. Students’ continuance intention to use MOOCs: empirical evidence from India. Education and Information Technologies (2022).
5. The sequential mediation model of students’ willingness to continue online learning during the COVID-19 pandemic. Research and Practice in Technology Enhanced Learning (2022).
6. Comparative analysis of variables that influence behavioral intention to use MOOCs. PLOS ONE (2022).