Ir al contenido

Documat

Identifying academically at-risk incoming freshmen at a private university in Uruguay: Psychometric evaluation of a mathematics diagnostic test.

  • Wilson González-Espada [1] ; Eduardo Lacués [2] ; Gabriela Otheguy [2] ; Magdalena Pagano [2] ; Alejandra Pollio [2] ; Rosina Pérez [2] ; Marcos Sarasola [2]
    1. [1] Morehead State University

      Morehead State University

      Estados Unidos

    2. [2] Universidad Católica del Uruguay

      Universidad Católica del Uruguay

      Uruguay

  • Localización: Unión: revista iberoamericana de educación matemática, ISSN-e 1815-0640, Nº. 56, 2019, págs. 26-46
  • Idioma: español
  • Enlaces
  • Resumen
    • español

      Este estudio determinó hasta qué grado la Prueba Diagnóstica de Matemáticas (PDM) que se ofrece en la Universidad Católica de Uruguay (UCU) es psicométricamente apropiada. Además, se exploró hasta qué grado la PDM se correlaciona con el éxito académico. Se halló que cinco de las preguntas originales de la PDM, de un total de 30, fallaron las pruebas de validez y confiabilidad, y se eliminaron. Las puntuaciones del resto de las preguntas tuvieron una alta correlación con la cantidad de cursos de matemáticas requeridos al final del primer año, confirmando que los estudiantes con una puntuación baja podrían necesitar apoyo adicional para permanecer en la carrera de ingeniería.

    • English

      This study determined to what extent the mathematics diagnostic test (MDT) used at the Catholic University of Uruguay (CUU) was psychometrically appropriate. Also, after removing “red-flagged” items, the study measured to what extent MDT scores correlated with academic success. It was found that five MDT items (out of 30) did not meet the guidelines and were discarded. The score on the remaining items showed the highest correlation with the number of mathematics courses completed, confirming that students with low MDT-Revised scores might need additional academic support to remain in the engineering program.

    • português

      Este estudo tem dois objetivos principais. O primeiro é determinar até que ponto o exame diagnóstico de matemática (EDM) empregado na Universidade Católica de Uruguay (UCU) era psicométricamente apropriado. O segundo, depois de eliminar todas as perguntas não apropriadas, é determinar até que ponto o EDM poderia ser usado para identificar, a priori, estudantes de engenharia que poderiam ter dificuldade em completar seu primeiro ano de estudos universitários na UCU. Achou-se que 5 perguntas do EDM não correspondiam às indicações, e foram eliminadas. A pontuação nas perguntas restantes mostrava a correlação mais alta com o número de aulas de matemática completadas, o que confirma que os estudantes poderiam precisar de apoio académico adicional para poder permanecer no programa de engenharia.

  • Referencias bibliográficas
    • Altbach, P. G., Resisberg, L., & Rumbley, L. E. (2009). Trends in global higher education: Tracking an academic revolution. Paris, France:...
    • Alvarez, W., Lacués, E., & Pagano, M. (2002). Determinación del perfil de los ingresantes a la universidad en relación con las estructuras...
    • Alvarez, W., Lacués, E., & Pagano, M. (2004). Diseño y validación de un instrumento predictor del éxito académico de alumnos ingresantes...
    • Alvarez, W., Czerwonogora, A., Lacués, E., Leymonie, J., & Pagano, M. (2007). La matemática al ingreso a la universidad. Un estudio comparativo...
    • Artigue, V., Flores, J., Lacués, E., & Messano, C. (2017). Buscando medidas de apoyo para superar el fracaso académico. Pensamiento Matemático,...
    • Astin, A. W. (1990). Educational assessment and educational equity. American Journal of Education, 98(4), 458-478.
    • Backhoff, E., Larrazolo, N., & Rosas, M. (2016). Nivel de dificultad y poder de discriminación del Examen de Habilidades y Conocimientos...
    • Bastedo, M. N. & Jaquette, O. (2011). Running in place: Low-income students and the dynamics of higher education. Educational Evaluation...
    • Baum, S. & Payea, K. (2004). Education pays: The benefits of higher education for individuals and society. Washington, D. C.: College...
    • Bissett, H. G. (1995). Selective admissions in community college nursing programs: Ethical considerations. Community College Review, 22(4),...
    • Boado, M. (2011). La deserción estudiantil universitaria en la UdelaR y en Uruguay entre 1997 y 2006. Montevideo: Ediciones Universitarias.
    • Botinelli, E. (2012). Juicio de la población sobre la educación universitaria y ranking de instituciones educativas. Montevideo, Uruguay:...
    • Bourel, M., Kahan, S., Miguez, M., & Stalker, D. (2017). Informe Herramienta Diagnóstica al Ingreso Componente Matemática. Montevideo:...
    • Bowen, W. G., Chingos, M. M., & McPherson, M. S. (2009). Crossing the finish line:Completing college at America’s public universities....
    • Brown, J. (2000). What is construct validity? Shiken JALT Testing & Evaluation SIGNewsletter, 4(2), 8-12. Retrieved from: < http://hosted.jalt.org/test/bro_8.htm>.
    • Brunner, J. J. (2011). Educación superior en Iberoamérica. Santiago, Chile: Universia. Retrieved from: .
    • Byrd, K. L., & MacDonald, G. (2005). Defining college readiness from the inside out: First-generation college student perspectives. Community...
    • Crocker, L. & Algina, J. (1986). Introduction to classical and modern test theory. Fort Worth, Texas: Harcourt Brace Jovanovich Publishers.
    • Daempfle, P. A. (2003). An analysis of the high attrition rates among first year college science, math, and engineering majors. Journal of...
    • Dale, S. B. & Krueger, A. B. (2002). Estimating the payoff to attending a moreselective college: An application of selection on observables...
    • De Klerk, G. (2014). Classical test theory. In: M. Born, C. Foxtrot, & R. Butter (Eds.). Online Readings in Testing and Assessment, International...
    • Devellis, R. F. (2006). Classical test theory: Measurement in a multi-ethnic society. Medical Care, 44(11), S50-S59.
    • Ebel, R. L. & Frisbie, D. A. (1991). Essentials of Educational Measurement, 5th Ed. Englewood Cliffs, New Jersey: Prentice-Hall.
    • Eckles, J. E. & Stradley, E. G. (2012). A social network analysis of student retention using archival data. Social Psychology of Education,...
    • Eggens, L., Van der Werf, M. P. C., & Bosker, R. J. (2008). The influence of personal networks and social support on study attainment...
    • Erdoli, L. A. (2012). What makes a test difficult? Exploring the effect of item. Journal of Instructional Psychology, 39(3-4), 171-176.
    • Ferreyra, M. M., Abitabile, C., Alvarez, J. B., Paz, F. H., & Urzúa, S. (2017). At a Crossroads: Higher Education in Latin America and...
    • Fhloinn, E. N., Bhaird, C. M., & Nolan, B. (2014). University students’ perspectives on diagnostic testing in mathematics. International...
    • Geisinger, B. N. & Raman, D. R. (2013). Why they leave: Understanding student attrition from engineering majors. International Journal...
    • Gillies, D. (2011). State education as high-yield investment: Human capital theory in European policy discourse. Journal of Pedagogy, 2(2),...
    • González-Espada, W. J. (2009). Detecting gender bias through test item analysis. The Physics Teacher, 47(3), 175-179.
    • González-Espada, W. J. (2008). Physical science lab quizzes: Results from test item analysis. Journal of Science Education/REC, 9(2), 81-85.
    • González-Espada, W. J. & Napoleoni-Milan, R. L. (2006). The impact of the freshman year experience on science students. In J. J. Mintzes...
    • Haag, S., Hubele, N., Garcia, A., & McBeath, K. (2007). Engineering undergraduate attrition and contributing factors. International Journal...
    • Ingram, W. G. & Morrisey, S. E. (2009). Ethical dimensions of the open-door admissions policy. New Directions for Community Colleges,...
    • Institute for Higher Education Policy (2005). The investment payoff: A 50-state analysis of the private and public benefits of higher education....
    • Karaman-Chaparenco, J. O. (2010). De la República de las Letras a la República Oriental del Uruguay: El neoclasicismo en la formación del...
    • Knell, J. L., Wilhoite, A. P., Fugate, J. Z., and González-Espada, W. J. (2015). Using Item Response Theory to improve locally- constructed...
    • Koretz, D. M. (2008). Measuring up: What educational testing really tells us.Cambridge, Massachusetts: Harvard University Press.
    • Lacués, E., Díaz, L., & Huertas, J. (2018). ¿Qué estructuras deductivas usan alumnos ingresantes a la universidad? Bolema: Boletim de...
    • Laskey, M. L. & Hetzel, C. J. (2011). Investigating factors related to retention of at- risk college students. The Learning Assistance...
    • Legg, J. C., & Greenbowe, T. J. (2011). Analysis of success in general chemistry based on diagnostic testing using logistic regression....
    • Lochner, L. & Moretti, E. (2014). The effect of education on crime: Evidence from prison inmates, arrests, and self-reports. American...
    • Ministerio de Educacion y Cultura (2013). Anuario estadístico de educación. Montevideo, Uruguay: Ministerio de Educación y Cultura. Retrieved...
    • Morales, P. (2012). Análisis de ítems en las pruebas objetivas. Madrid, Spain: Universidad Pontificia Comillas, Retrieved from: .
    • Mullin, C. M. (2017). When less is more: Prioritizing open access. Washington, DC: American Association of Community Colleges. Retrieved from...
    • Mullin, C. M. (2012a). It’s a matter of time: Low-income students and community colleges. Policy Brief 2012-02PBL. Washington, District of...
    • Mullin, C. M. (2012b). Why access matters: The community college student body. Policy Brief 2012-01PBL. Washington, District of Columbia:...
    • Niss, M. (2003). Mathematical competencies and the learning of mathematics: The Danish KOM project. In A. Gagatses & S. G. Papastavridis...
    • Nuñez-Peña, M. I., Suarez-Pellicioni, M., & Bono, R. (2013). Effects of math anxiety on student success in higher education. International...
    • OCDE (2006). PISA marco de la evaluación: Conocimientos y habilidades en ciencias, matemáticas y lectura. España: Santillana.Perry, A. B....
    • Raisman, N. (2013). The cost of college attrition at four-year colleges and universities. Virginia Beach, Virginia: Educational Policy Institute.
    • Ridgell, S. D. & Lounsbury, J. W. (2004). Predicting academic success: General intelligence, “Big Five” personality traits, and work drive....
    • Rosenthal, R. & Jacobson, L. (1968). Pygmalion in the Classroom. New York, NY: Holt, Rinehart & Winston.
    • Roueche, J. E. & Baker, G. A. (1987). Access and excellence: The open-door college. Washington, District of Columbia: Community College...
    • Santalices, B. (2010). El rol de las universidades en el desarrollo científico y tecnológico: Informe de la Educación Superior en Iberoamérica....
    • Scherer, J. L. & Anson, M. L. (2014). Community college and the access effect: Why open admissions suppresses achievement. New York, New...
    • Shannon, H. D. & Smith, R. C. (2006). A case for the community college’s open access mission. New Directions for Community Colleges, 2006(136),...
    • Suresh, R. (2006). The relationship between barrier courses and persistence in engineering. Journal of College Student Retention, 8(2), 215–239.
    • Thompson, R. (2019). Education, inequality and social class: Expansion and stratification in educational opportunity. New York, NY: Routledge/...
    • Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition, 2nd Ed. Chicago, Illinois: University of Chicago...
    • Trostel, P. A. (2010). The fiscal impacts of college attainment. Research in Higher Education, 51(3), 220-247.
    • Tsao, T. M. (2005). Open admissions, controversies, and CUNY: Digging into social history through a first -year composition course. The...
    • UNESCO (2015). Draft preliminary report concerning the preparation of a global convention on the recognition of higher education qualifications....
    • Universidad de la Republica (2016). Ley Orgánica de la Universidad de la República, Ley número 12.549. Montevideo, Uruguay: Universidad de...
    • U.S. Department of Labor (2015). Current population survey. Washington, District of Columbia: Bureau of Labor Statistics. Retrieved from:.
    • Vaughan, G. B. (1985). Maintaining open access and comprehensiveness. New Directions for Community Colleges, 1985(52), 17-28.
    • Villegas, C. G. (2019) The youth unemployment crisis: A reference handbook. Santa Barbara, CA: ABC-CLIO LLC.
    • Voigt, L. & Hundrieser, J. (2008). Student success, retention, and graduation: Definitions, theories, practices, patterns, trends. Iowa...
    • Workman, E. (2012). Teacher expectations of students: A self-fulfilling prophecy? The Progress of Education Reform, 13(6). Retrieved from .
    • Yang, F. M. (2014). Item response theory for measurement validity. ShanghaiArchives of Psychiatry, 26(3), 171-177.
Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno