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Mapping the structure of student burnout in online learning: An integrated Gaussian model and directed acyclic graph approach | Synapse
March 3, 2026
Mapping the structure of student burnout in online learning: An integrated Gaussian model and directed acyclic graph approach
YT
Yaxin Tu
Soochow University
CH
Changqin Huang
Zhejiang International Studies University
YP
Yafeng Pan
Zhejiang Lab
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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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Tu et al. (Sun,) studied this question.
synapsesocial.com/papers/69a7614dc6e9836116a2f181
https://doi.org/https://doi.org/10.1016/j.iheduc.2026.101077
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