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February 1, 2026The Internet and Higher Education

Mapping the structure of student burnout in online learning: An integrated Gaussian model and directed acyclic graph approach

Yaxin Tu Changqin Huang Yafeng Pan Gwo-Jen Hwang

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Key Points

Burnout is influenced by distinct structural factors identified through directed acyclic graphs, highlighting its complexity.
Key metrics show a significant relationship between online learning environment and student burnout levels over time.
Analysis using an integrated gaussian model helps in understanding the interaction of various contributing factors.
Supports the need for tailored strategies in online learning environments to mitigate student burnout.

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Implication

Observational analysis reveals structural factors of student burnout in online learning, suggesting targeted interventions.

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Cite This Study

Tu et al. (2026) studied this question.

synapsesocial.com/papers/69a7614dc6e9836116a2f181 https://doi.org/10.1016/j.iheduc.2026.101077

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