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Effect of Motivation to Learn and Environmental Factors on University Students' Study Habits

Bibliographic Data

ID21983162
AuthorsEldis Román-Cao (0000-0002-8552-7906, Universidad Técnica de Manabí), Eldis Román Cao, Alexander López-Padrón (0000-0002-1032-7758, Universidad Técnica de Manabí), Alexander López Padrón Alexander López Padrón, Yunia Tania Pérez Medinilla Yunia Tania Pérez Medinilla, Yunia Tania Pérez Medinilla (University of Sancti Spíritus José Martí Pérez), Erisadanis Díaz Pérez Erisadanis Díaz Pérez, Erisadanis Díaz Pérez (Universidad Técnica de Manabí), Antonio Clarencio Guzmán Ramírez Antonio Clarencio Guzmán Ramírez, Antonio Clarencio Guzmán Ramírez (0000-0002-8169-2090, Universidad Técnica de Manabí)
Year2026
Volume17
Issue1
Pages667-679
Publication date2026-06-27
Open AccessYes
TypeARTICLE
VenueJournal of Education Culture and Society (JOURNAL)
Journal identifiersISSN: 2081-1640 • E-ISSN: 2081-1640
PublisherFoundation Pro Scientia Publica (PUBLISHER • PL)
DOI10.15503/jecs2026.1.667.679
OpenAlexW7166330916
LanguageEN

Aim. The objective of this cross-sectional study was to analyze the relationship between age, sex, study environment conditions, motivation to learn, and study habits among university students at the Technical University of Manabí, Ecuador. Methods. A descriptive-correlational study with predictive scope was conducted using a non-experimental, cross-sectional design. A self-report questionnaire was administered to assess study environment conditions, motivation to learn, and study habits to 273 university students between October 2023 and January 2024. Descriptive statistics, correlational analyses, and multiple linear regression were performed using IBM SPSS Statistics (version 27). Results. Descriptive analyses revealed high levels of motivation to learn, moderate levels of study habits, and comparatively lower levels of favorable environmental conditions for studying. Correlational analyses showed positive and significant associations between environmental conditions, motivation to learn, and study habits. The regression model explained 16% of the variance in study habits, identifying motivation to learn as the strongest predictor, followed by environmental conditions, while age was not significant and gender showed a small effect. Conclusions. Study habits in higher education are better explained by the combined contribution of motivational and contextual factors than by static sociodemographic characteristics. Motivation guides academic engagement, while environmental conditions facilitate its stabilization in consistent study routines

Analysis of variance · Descriptive research · Descriptive statistics · Intrinsic motivation · Linear regression · Regression analysis · Variance (accounting) · Education, Achievement, and Giftedness · Educational Methods and Psychological Studies · Educational Outcomes and Influences

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