Causal Analysis and Intervention of Academic Well-Being Based on an Academic Review Text Data Set

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Abstract

The purpose of the study is to explore the identification of key factors that influence student well-being in the context of academic achievement data from online learning environments. Utilizing a large dataset of 20,000 academic review texts, this research aims to uncover underlying causal relationships affecting students' academic happiness. Through a detailed analysis, the study seeks to provide insights into how various educational and emotional elements interplay, with the goal of informing effective intervention strategies. This exploration is intended to support educators and policymakers in developing targeted measures that can enhance the overall educational experience and outcomes for students. By investigating these causal relationships, the study contributes to a deeper understanding of the complexities surrounding student well-being in educational settings.

Authors

• Yefeng Yang, East China Normal University

• Xiang Feng, East China Normal University

• Yana Xia, East China Normal University