Track: Type A (Regular Papers)
Keywords: Computational Model, Student Mental Well-being, Causal Model
Abstract: Mental well-being is a complex construct, which is studied in many disci-plines. Understanding student mental well-being (StMWB) is considered vi-tal, as students with higher mental well-being tend to perform better academ-ically, exhibit greater engagement, and develop essential skills for their fu-ture. In this article, we propose a temporal causal network model to capture the dynamics of well-being by identifying multidimensional factors that con-tribute to an individual’s optimal well-being and modeling them computa-tionally. Furthermore, through what-if simulations, we examine how various interventions can influence these factors and how their interplay can impact an individual’s overall well-being. Finally, we address the limitations and fu-ture directions of using the designed model to gain further insights into StMWB, and using it as a basis for interventions to promote well-being.
Serve As Reviewer: ~Tibor_Bosse2, ~Fakhra_Jabeen3
Submission Number: 16
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