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

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Bibliographic Details
Title: Causal Analysis and Intervention of Academic Well-Being Based on an Academic Review Text Data Set
Language: English
Authors: Yefeng Yang, Xiang Feng, Yana Xia
Source: AERA Online Paper Repository. 2025.
Availability: AERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net
Peer Reviewed: Y
Page Count: 11
Publication Date: 2025
Intended Audience: Teachers; Policymakers
Document Type: Speeches/Meeting Papers
Reports - Research
Descriptors: Well Being, Intervention, Academic Achievement, Influences, Electronic Learning, Psychological Patterns, Student Attitudes, Teaching Methods, Educational Strategies, Data Analysis
DOI: 10.3102/2195837
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.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED678335
Database: ERIC
FullText Text:
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PubType: Conference
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  Data: Causal Analysis and Intervention of Academic Well-Being Based on an Academic Review Text Data Set
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  Data: <searchLink fieldCode="AR" term="%22Yefeng+Yang%22">Yefeng Yang</searchLink><br /><searchLink fieldCode="AR" term="%22Xiang+Feng%22">Xiang Feng</searchLink><br /><searchLink fieldCode="AR" term="%22Yana+Xia%22">Yana Xia</searchLink>
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  Data: AERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net
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  Data: 11
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  Data: Teachers; Policymakers
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  Data: Speeches/Meeting Papers<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Influences%22">Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+Patterns%22">Psychological Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Strategies%22">Educational Strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink>
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  Data: 10.3102/2195837
– Name: Abstract
  Label: Abstract
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  Data: 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.
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  Data: 2026
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  Data: ED678335
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        PageCount: 11
    Subjects:
      – SubjectFull: Well Being
        Type: general
      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Influences
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Psychological Patterns
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      – SubjectFull: Student Attitudes
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      – SubjectFull: Teaching Methods
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      – SubjectFull: Educational Strategies
        Type: general
      – SubjectFull: Data Analysis
        Type: general
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      – TitleFull: Causal Analysis and Intervention of Academic Well-Being Based on an Academic Review Text Data Set
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            NameFull: Yefeng Yang
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            NameFull: Xiang Feng
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            NameFull: Yana Xia
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              Y: 2025
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