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Academic achievement prediction in secondary education by decision tree analysis

Bibliographic Data

ID21661569
AuthorsIsrael Villarrasa-Sapiña (0000-0002-2831-1033, Universidad Internacional De La Rioja), Xavier García‐Massó (0000-0002-5925-4537, Universitat de València), Encarnación Liébana (0000-0002-2617-4549, Valencia Catholic University Saint Vincent Martyr), Gonzalo Monfort-Torres (0000-0001-8275-2238, Universitat Politècnica de València)
Year2024
Volume27
Issue1
Pages253-279
Publication date2024-01-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducación XX1 (JOURNAL)
Journal identifiersISSN: 1139-613X • E-ISSN: 2174-5374
PublisherUNED - Universidad Nacional de Educacion a Distancia (PUBLISHER)
DOI10.5944/educxx1.33351
OpenAlexW4390882770
LanguageEN
Citations received1
References cited18

The aim of the present study was to develop a predictive model of academic achievement (school success or failure) by applying a decision tree analysis. A cross-sectional study was carried out to design a system for the early detection of academic failure. 219 adolescents (aged 14 to 16) participated and information on their socioeconomic status, body mass index (BMI) percentile, physical activity, leisure time spent in front of screens, enjoyment, hope, anger, anxiety, boredom, behavioral engagement, emotional engagement, cognitive engagement, self-perceived school performance and intention to go to university was collected as input variables in decision tress analysis. 6 failure and 3 success groups were found able to predict academic performance. Good accuracy was obtained in the training (80.11 %) and validation (81.40 %) datasets of the decision tree. It is possible to predict academic failure or success by assessing weight status, physical activity, anger and hope during school attendance, intention to go to university and self-perceived school performance

Academic achievement · Anger · Anxiety · Attendance · Boredom · Developmental psychology · Socioeconomic status · Applied Psychology · Clinical Psychology · Grit, Self-Efficacy, and Motivation · Medicine · Online Learning and Analytics · Psychology · Social Psychology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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