Desempeño académico de alumnos de educación para adultos en prisión

  1. Claudia Héctor-Moreira 1
  2. Ana M. Martín 1
  3. Juan García-García 2
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

  2. 2 Universidad de Almería
    info

    Universidad de Almería

    Almería, España

    ROR https://ror.org/003d3xx08

Journal:
Educación XX1: Revista de la Facultad de Educación

ISSN: 1139-613X,  2174-5374

Year of publication: 2021

Volume: 24

Issue: 1

Pages: 189-212

Type: Article

DOI: 10.5944/EDUCXX1.26672 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Educación XX1: Revista de la Facultad de Educación

Abstract

Education in prison helps to reduce recidivism, but the relationship between academic performance and recidivism is spurious, as most prisoners belong to more vulnerable and deprived social groups with deficits that not only influence lower academic standards but also have a direct impact on fewer opportunities once released. The objective of this study is to analyze the relationship of cognitive-motivational variables such as academic self-concept, academic self-efficacy, learning orientation and school climate, with the academic achievement of inmates, as well as with other measures of their academic performance, such as satisfaction with the subject, perceived learning and expected grade. To this end, a group of students in Section I and II of the Education for Adults who were studying in prison was compared with another group of students of the same level who were attending adult education centers in the community. The total sample consisted of 233 participants between the ages of 18 and 64, of whom 124 were in prison. Participants answered a questionnaire including 11 scales that had previously obtained the necessary evidence of reliability and validity. The analysis of the data indicated that the academic performance and academic achievement of students in prison were better than those of students outside prison, that the cognitive-motivational variables were related in both groups only to academic performance and not to academic achievement and that this relationship varied within each group. The results are discussed focusing on the fact that imprisonment makes the teaching/learning process harder, but that the difficulties should be solved taking into account, not so much that students are people who have committed a crime for which they are serving a sentence, but that they are adults who have not completed compulsory education and are motivated to do so.

Bibliographic References

  • Arslan, S., Hallett, V., Akkas, E., & Akkas, O. A. (2012). Bullying and victimization among Turkish children and adolescents: examining prevalence and associated health symptoms. European Journal of Pediatrics, 171, 1549-1557.
  • Arregui, J.L. (2012). Variables cognitivas y motivacionales relacionadas con el nivel de riesgo y el comportamiento de delincuentes juveniles y adultos. [Tesis doctoral], Universidad de La Laguna.
  • Artiles, C. y Jiménez, J. E. (2011). PCA: Prueba de Cálculo Aritmético. En C. Artiles y J.E. Jiménez, (Comps.), Normativización de instrumentos para la detección e identificación de las necesidades educativas del alumnado con trastorno por déficit de atención con o sin hiperactividad (TDAH) o alumnado con dificultades específicas de aprendizaje (DEA) (pp. 13-26). Dirección General de Ordenación e Innovación Educativa.
  • Artunduaga, M. (2008). Variables que influyen en el rendimiento académico en la Universidad. [Tesis doctoral], Universidad Complutense de Madrid.
  • Ato, M., López-García, J.J., y Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29, 1038-1059.
  • Baglivio, M.T., Wolff, K.T., Jackowski, K., & Greenwald, M.A. (2015). A multilevel examination of risk/need change scores, community context, and successful reentry of committed juvenile offenders. Youth Violence and Juvenile Justice, 1, 1-24.
  • Baumeister, R. & Vohs, K. (2007). Self-regulation, ego depletion, and motivation. Social and Personality Psychology Compass, 1, 115–128
  • Bembenutty, H. (2010). Homework completion: The role of self- efficacy, delay of gratification, and self-regulatory processes. The International Journal of Educational and Psychological Assessment, 6, 1–20.
  • Bembenutty, H., Cleary, T.J., & Kitsantas, A. (2013). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman. Information Age Publishing.
  • Benson, N.F., Kranzler, J.H., & Floyd, R.G. (2016). Examining the integrity of measurement of cognitive abilities in the prediction of achievement: Comparisons and contrasts across variables from higher-order and bifactor models. Journal of School Psychology, 58, 1-19.
  • Caballero, C., Abello, R., y Palacio, J. (2007). Relación del burnout y el rendimiento académico con la satisfacción frente a los estudios en estudiantes universitarios. Avances en Psicología Latinoamericana, 25, 98- 111.
  • Cabrera, L. (2016). Revisión sistemática de la producción española sobre rendimiento académico entre 1980 y 2011. Revista Complutense de Educación, 27, 119-139.
  • Caride, J.A. y Gradaílle, R. (2013). Educar en las cárceles: nuevos desafíos para la educación social en las instituciones penitenciarias Educating in Prisons: New Challenges for Social Education. Revista de Educación, 360, 36-47.
  • Cattaneo, M.E., Huertas, J.A., y De la Cruz, M. (2004). ¿Qué dicen los estudiantes de nivel medio y de grupos sociales distintos acerca de sus metas para el aprendizaje? Estudios Pedagógicos, 30, 21-37.
  • Cerda, G., Pérez, C., Elipe, P., Casas, J.A., y Del Rey, R. (2019). Convivencia escolar y su relación con el rendimiento académico en alumnado de Educación Primaria. Revista de Psicodidáctica, 24, 46-52.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). Erlbaum.
  • Crowne, D.P. y Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24, 349-354.
  • Davis, L.M., Bozick, R., Steele, J.L., Saunders, J. & Miles, J.N.V. (2013). Evaluating the effectiveness of correctional education. A meta-analysis of programs that provide education to incarcerated adults. Rand Co.
  • De Pedro, K.T., Gilreath, T., & Berkowitz, R. (2016). A latent class analysis of school climate among middle and high school students in California public schools. Children and Youth Services Review, 63, 10–15.
  • Fariña, F., Redondo, L., Seijo, D., Novo, M., & Arce, R. (2017). A meta-analytic review of the MMPI validity scales and indexes to detect defensiveness in custody evaluations. International Journal of Clinical and Health Psychology, 17, 128-138.
  • Fenollar, P., Cuestas, P. J., y Román, S. (2008). Antecedentes del rendimiento académico: aplicación a la docencia en marketing. Revista Española de Investigación de Marketing, 12, 7-24.
  • Ferguson, C.J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40, 532–538.
  • Ferrando, P.J. y Chico, E. (2000). Adaptación y análisis psicométrico de la escala de deseabilidad social de Marlowe y Crowne. Psicothema, 12, 383-389.
  • García, F. y Musitu, G. (2014). Autoconcepto Forma-5 (AF-5) (4ª Edición). TEA Ediciones.
  • Herndon, J.S. & Bembenutty. H. (2017). Self-regulation of learning and performance among students enrolled in a disciplinary alternative school. Personality and Individual Differences, 104, 266–271.
  • Honicke, T. & Broadbent, J. (2016). The Relation of Academic Self-Efficacy to University Student Academic Performance: A Systematic Review. Educational Research Review, 17, 63-84.
  • Instituto Nacional de Evaluación Educativa (2010). PISA 2009. Programa para la evaluación internacional de los alumnos. Informe español. MECD.
  • Kim, R.H. & Clark, D. (2013). The effect of prison-based college education programs on recidivism: Propensity score matching approach. Journal of Criminal Justice, 41, 196-204.
  • Kodzi, I.A., Oketch, M., Ngware, M.W., Mutisya, M., & Nderu, E.N. (2014). Social relations as predictors of achievement in math in Kenyan primary schools. International Journal of Educational Development, 39, 275-282.
  • Küster, I. y Vila, N. (2012). El modelo del rendimiento académico del estudiante universitario: aplicación a una facultad de economía. Teoría de la Educación. Educación y Cultura en la Sociedad de la Información, 13, 95-128.
  • Levenson, M.R., Kiehl, K.A., & Fitzpatrick, C.M. (1995). Assessing psychopathic attributes in a noninstitutionalized population. Journal of Personality and Social Psychology, 68, 151-158.
  • Lindgren, M., Jensen, J., Dalteg, A., Meurling, A.W., Ingvar, D.H., & Levander, S. (2002). Dyslexia and AD/ HD among Swedish prison inmates. Journal of Scandinavian Studies in Criminology and Crime Prevention, 3, 84–95.
  • Locke, E.A. & Latham, G.P. (2002). Building a practically useful theory of goal setting and task motivation. American Psychologist, 57, 705-717.
  • Martín, V.M. (2006). Actitudes de los internados en prisión, menores de veintiún años, ante la función reeducadora del medio penitenciario en el ámbito andaluz. Servicio de Publicaciones de la Universidad de Málaga.
  • Martín, A.M., Padrón, F., & Redondo, S. (2019). Early narratives of desistance from crime in different prison regimes. European Journal of Psychology Applied to Legal Context, 11, 71 – 79.
  • Martín, V.M., Vila, E.S., y de Oña, J.M. (2013). La investigación educativa en el ámbito de las instituciones penitenciarias: panorámica, desafíos y propuestas. Revista de Educación, 360, 16-35.
  • Martínez, F.D. y González, J. (2017). Autoconcepto, práctica de actividad física y respuesta social en adolescentes. Relaciones con el rendimiento académico. Revista Iberoamericana de Educación, 73, 87-108.
  • Midgley, C., Maehr, M.L., Hruda, L.Z., Anderman, E., Anderman, L., Freeman, K. E., …., & Urdan, T. (2000). Manual for the patterns of adaptive learning scales. University of Michigan.
  • Moos, R.H., Moos, B.S. y Trickett, E.J. (1995). Escalas de Clima Social. TEA.
  • Oficina de Planificación y Estadística de la Viceconsejería de Educación, Universidades y Deportes del Gobierno de Canarias (2019). Número de alumnos por sexo en todas las enseñanzas excepto ciclos formativos.
  • Orgilés, M., Johnson, B.T., Huedo- Medina, T., y Espada, J.P. (2012). Autoconcepto y ansiedad social como variables predictoras del rendimiento académico de los adolescentes españoles con padres divorciados. Electronic Journal of Research in Educational Psychology, 10, 57-72.
  • Palmer, S. M. (2012). Postsecondary correctional education. Recognizing and overcoming barriers to success. Adult Learning, 23, 4163-4169.
  • Parker, P.D., Van Zanden, B., & Parker, R. B. (2018). Girls get smart, boys get smug: Historical changes in gender differences in math, literacy, and academic social comparison and achievement. Learning & Instruction, 54, 125–137.
  • Roth, B.B., Asbjørnsen, A., y Manger, T. (2017). The relationship between prisoners’ academic self-efficacy and participation in education, previous convictions, sentence length, and portion of sentence served. Journal of Prison Education and Reentry, 3, 106- 121.
  • Schenke, K., Lam, A. M., Conley, A., & Karabnick, S. (2015). Adolescents’ help seeking in mathematics classrooms: Relations between achievement and perceived classroom environmental influences over one school year. Contemporary Educational Psychology, 41, 133–146.
  • Secretaría General de Instituciones Penitenciaras (2019). Distribución de la población reclusa por sexo. https:// bit.ly/32vbV0z
  • Talbot, J. & Riley, C. (2007). No one knows: Offenders with learning difficulties and learning disabilities. British Journal of Learning Disabilities, 35, 154-161.
  • Taylor, J. & Lindsay, W (2010). Understanding and treating offenders with learning disabilities: a review of recent developments. Journal of Learning Disabilities and Offending Behaviour, 1, 5-16.
  • Thompson, K.C. & Morris, R J. (2016). Characteristics of juvenile delinquents. En R.J.R. Levesque (Comps.), Advancing responsible adolescent development series: Vol.1. Juvenile Delinquency and Disability (pp. 9-30). Springer.
  • Tomás, J.V., Expósito, M., y Sempere, S. (2014). Determinantes del rendimiento académico en los estudiantes de grado. Un estudio en administración y dirección de empresas. Revista de Investigación Educativa, 32, 379-392.
  • Torrubia, R., Avila, C., Moltó, J., & Caseras, X. (2001). The Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ) as a measure of Gray’s anxiety and impulsivity dimensions. Personality and Individual Differences, 31, 837-862.
  • Usher, E.L. & Pajares, F. (2006). Sources of academic and self-regulatory efficacy beliefs of entering middle school students. Contemporary Educational Psychology, 31, 125-141.
  • Wechsler, D. (2012). WAIS-IV. Escala de inteligencia de Wechsler para adultos-IV. Manual de aplicación y corrección. Pearson.
  • Wolfe, R. & Johnson, S. (1995). Personality as a predictor of college performance. Educational and Psychological Measurement, 55, 177–185.
  • Zimmerman, B.J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48, 1–13.
Data source: Dialnet