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Academic Achievement and Failure in University Studies: Motivational and Emotional Factors

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  • Raquel Gilar-Corbi

    (Department of Developmental Psychology and Didactics, University of Alicante, 03080 Alicante, Spain)

  • Teresa Pozo-Rico

    (Department of Developmental Psychology and Didactics, University of Alicante, 03080 Alicante, Spain)

  • Juan-Luis Castejón

    (Department of Developmental Psychology and Didactics, University of Alicante, 03080 Alicante, Spain)

  • Tarquino Sánchez

    (Department of Electronics, Telecommunications and Information Networks, Escuela Politécnica Nacional, Quito 17-01-2759, Ecuador)

  • Ivan Sandoval-Palis

    (Basic Training Department, Escuela Politécnica Nacional, Quito 17-01-2759, Ecuador)

  • Jack Vidal

    (Department of Developmental Psychology and Didactics, University of Alicante, 03080 Alicante, Spain)

Abstract

Universities are committed to offering quality education; however, a high rate of academic failure is often observed in the first year of studies. Considering the impact that motivation and emotional aspects can have on students’ commitment to study and therefore on their academic performance, achievement, and well-being, this study aims to identify the factors associated with academic success or failure in 1071 students entering the National Polytechnic School (Quito, Ecuador). The data were compiled from the existing computer records of the university with the permission of the responsible administrative staff. A predictive model has been used and a binary logistic regression analysis was carried out through the step-forward regression procedure based on the Wald statistic to analyze the predictive capacity of the variables related to emotional intelligence, motivational and self- regulated socio-cognitive skills, goal orientation, and prior academic achievement (measured by university entrance marks and through a knowledge test carried out at the beginning of the university academic year). To determine the cut-off point for the best discriminatory power of each of the variables, a Receiver Operating Characteristics (ROC) curve analysis has been used. The results indicate that the variables that are significant in the prediction of academic success or failure are the two academic performance measures: the emotional attention variable, and the performance-approach goals and the motivational self-efficacy variable. Additionally, the highest predictive power is displayed by the prior academic performance measure obtained through the knowledge test conducted at the beginning of the university course.

Suggested Citation

  • Raquel Gilar-Corbi & Teresa Pozo-Rico & Juan-Luis Castejón & Tarquino Sánchez & Ivan Sandoval-Palis & Jack Vidal, 2020. "Academic Achievement and Failure in University Studies: Motivational and Emotional Factors," Sustainability, MDPI, vol. 12(23), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9798-:d:450124
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    References listed on IDEAS

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    1. Tin-Chun Lin & William Wei-Choun Yu & Yi-Chi Chen, 2012. "Determinants and probability prediction of college student retention: new evidence from the Probit model," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 3(3), pages 217-236.
    2. Montmarquette, Claude & Mahseredjian, Sophie & Houle, Rachel, 2001. "The determinants of university dropouts: a bivariate probability model with sample selection," Economics of Education Review, Elsevier, vol. 20(5), pages 475-484, October.
    3. Facchini, Marta & Triventi, Moris & Vergolini, Loris, 2019. "Do Grants Improve the Outcomes of University Students in a Context with High Dropout Rates? Evidence from a Matching Approach," SocArXiv k3gwv, Center for Open Science.
    4. Iván Sandoval-Palis & David Naranjo & Jack Vidal & Raquel Gilar-Corbi, 2020. "Early Dropout Prediction Model: A Case Study of University Leveling Course Students," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
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    Cited by:

    1. Maria-Jose Mira-Galvañ & Raquel Gilar-Cobi, 2021. "OKAPI, an Emotional Education and Classroom Climate Improvement Program Based on Cooperative Learning: Design, Implementation, and Evaluation," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    2. Gricelda Herrera-Franco & Néstor Montalván-Burbano & Carlos Mora-Frank & Lady Bravo-Montero, 2021. "Scientific Research in Ecuador: A Bibliometric Analysis," Publications, MDPI, vol. 9(4), pages 1-34, December.
    3. Jesús Maya & Juan F. Luesia & Javier Pérez-Padilla, 2021. "The Relationship between Learning Styles and Academic Performance: Consistency among Multiple Assessment Methods in Psychology and Education Students," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    4. Addissie Melak & Seema Singh, 2021. "Women’s Participation and Factors Affecting Their Academic Performance in Engineering and Technology Education: A Study of Ethiopia," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    5. Andrea Izquierdo & Raquel Gilar-Corbí & Teresa Pozo-Rico & Juan Luis Castejón, 2023. "Pre-Service Teachers’ Personal Traits and Emotional Skills: A Structural Model of General Mental Ability," SAGE Open, , vol. 13(4), pages 21582440231, October.

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