MLS Educational Research (MLSER)
Vol. 8 Núm. 1 (2024)
ISSN: 2603-5820
Relación entre involucramiento del estudiante y rendimiento académico en el curso introductorio de Programación para Ingeniería
Publicado Oct 5, 2023
Resumen
Uno de los objetivos de crecimiento económico del Estado de Nuevo León es lograr el desarrollo de Industria 4.0 que requiere el desarrollo de competencias en programación y la graduación anual de más ingenieros. Por otra parte, los porcentajes de aprobación en la materia introductoria de programación han sido menores que en el resto de las materias de ingeniería en una universidad privada del Noreste de México por lo que se ha investigado esta situación con base en teoría del involucramiento del estudiante. El propósito de este estudio fue analizar el involucramiento de estudiantes de primer año de Ingeniería en la materia de programación y su relación con el rendimiento académico. Se diseñó un estudio relacional realizado sobre una muestra de 123 estudiantes de primer semestre, se examinaron y seleccionaron las analíticas que provee el sistema Blackboard y se aplicó un estudio correlacional entre analíticas de Blackboard y el rendimiento académico medido por la calificación final del estudiante mediante el cálculo de coeficiente de Spearman. Se encontró una relación moderada significativa y positiva tanto entre la actividad del estudiante en la plataforma y el rendimiento académico (rho(116) =.448, p<.001 con potencia estadística de .970), como entre el tiempo invertido en la plataforma y el rendimiento académico (rho(116) =.447, p<.01 con potencia estadística de .995). Debido a la relación encontrada, es importante el monitoreo frecuente de la actividad del alumno en la plataforma para fomentar el involucramiento desde etapas tempranas del período académico en la materia introductoria de programación.
Palabras clave:
analíticas, involucramiento, rendimiento académico, programación introductoria
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Gutiérrez de la Garza, E., & Rojo Gutiérrez, M. A. (2023). Relación entre involucramiento del estudiante y rendimiento académico en el curso introductorio de Programación para Ingeniería. MLS Educational Research (MLSER), 8(1). https://doi.org/10.29314/10.29314/mlser.v8i1.1679
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Glapaththi, I., Dissanayake, R., Welgama, T., Somachandara, U., Weerarathna, R., & Pathirana, G. (2019). A Study on the Relationship between Student Engagement and Their Academic Achievements. Asian Social Science, 15(11), 1 - 16.
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Hernández Barrios, A., & Camargo Uribe, A. (2017). Autorregulación del aprendizaje en la educación superior en Iberoamérica: una revisión sistemática. Revista Latinoamericana de Psicología, 49(2), 146 - 160.
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Bulut, O., Gorgun, G., Yildirim-Erbasli, S., Wongvorachan. T., Daniels, L., Gao, Y., Ka Wing, L., & Shin. J. (2023) Online formative assessments as the foundation for predictive learning analytics models. British Journal of Educational Technology, 54(1), 19 – 39. https://doi.org/10.1111/bjet.13276
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Curione, K., Huertas, J., Ortuño, V., Gründler, V., & Píriz, L. (2019). Validación del bloque Estrategias de aprendizaje del MSLQ con estudiantes universitarios uruguayos. Revista Interamericana de Psicología/Interamerican Journal of Psychology (IJP), 53(1), 66 - 80.
Curtis H.(2016). Measuring Student Engagement in Technology-Mediated Learning Environments. [Tesis doctoral] Brigham Young University. https://scholarsarchive.byu.edu
Dahlstrom, E., & Bichsel, J. (2014). ECAR Study of Undergraduate Students and Information Technology, ECAR Survey, https://net.educause.edu/ir/library/pdf/ss14/ERS1406.pdf
Darko, C. (2021). An Evaluation of How Students Use Blackboard and the Possible Link to Their Grades. SAGE Open, 11(4). https://doi.org/10.1177/21582440211067245
Delfino A. (2019). Student Engagement and Academic Performance of Students of Partido State University. Asian Journal of University Education, 15(1).
Faul, F., Erdfelder, E., Buchner, A., & Lang, A. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149 - 1160.
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Fleur, D., van den Bos, W., & Bredeweg, B. (2023). Social comparison in learning analytics dashboard supporting motivation and academic achievement. Computers and Education Open. 4(100130) 1 – 11. https://www.sciencedirect.com/journal/computers-and-education-open
Flores Tapia, C., & Flores Ceballos, K. (2021). Pruebas para comprobar la normalidad de datos en procesos productivos: Anderson-Darling, Ryan-Joyner, Shapiro-Wilk y Kolgomorov-Smirnov. Societas. Revista de Ciencias Sociales y Humanísticas Universidad de Panamá, 3(2) 83 – 97.
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Fredricks, J., Filsecker, M., & Lawson, M. (2016). Student engagement, context, and adjustment: Addressing definitional, measurement, and methodological issues. Learning and Instruction, 43, 1 – 4.
Gardner, C., Jones, A., & Jefferis, H. (2020). Analytics for Tracking Student Engagement. Journal of Interactive Media in Education, 1(22). http://doi.org/10.5334/jime.590
Glapaththi, I., Dissanayake, R., Welgama, T., Somachandara, U., Weerarathna, R., & Pathirana, G. (2019). A Study on the Relationship between Student Engagement and Their Academic Achievements. Asian Social Science, 15(11), 1 - 16.
Gunuc, S. (2014). The relationships between student engagement and their academic achievement. International Journal on New Trends in Education and Their Implications, 5(4), 4 – 19.
Hair Jr., J., Black, W., Babin, B. & Anderson, R. (2019). Multivariate Data Analysis, Eighth Edition. Cengage.
Hair Jr., J., Page, M., & Brunsveld, N. (2020). Essentials of Business Research Methods. Fourth Edition. Routledge.
Halverson, L., & Graham, C. (2019). Learner engagement in blended learning environments: A conceptual framework. Online Learning, 23(2), 145-178. https://doi.org/10.24059/olj.v23i2.1481
Henrie, C., Halverson, L., & Graham, Ch. (2015). Measuring student engagement in technology-mediated learning: A review. Computers & Education, 90, 36 – 53.
Hernández Barrios, A., & Camargo Uribe, A. (2017). Autorregulación del aprendizaje en la educación superior en Iberoamérica: una revisión sistemática. Revista Latinoamericana de Psicología, 49(2), 146 - 160.
Hernández Sampieri, R., & Mendoza Torres, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. McGraw Hill Education.
Kahu, E., & Nelson, K. (2018). Student engagement in the educational interface: Understanding the mechanisms of student success. Higher Education Research & Development, 37(1), 58 - 71.
Kanaparan, G., Cullen, R., & Mason, D. (2017). Self efficacy & Engagement on Students. Australasian Journal of Information Systems. Vol 23, Selected Papers from ACIS.
Karabıyık, C. (2019). The relationship between student engagement and tertiary level English Language Learners´s Achievement. International Online Journal of Education and Teaching (IOJET), 6(2), 281-293.
Kuh, G. (2009). The National Survey of Student Engagement: Conceptual and Empirical Foundations. New Directions for Institutional Research. Wiley Periodicals, 141. https://doi.org/10.1002/ir.283
Kumar, S., Agarwal, M., & Agarwal, N. (2021). Defining And Measuring Academic Performance of Hei Students-A Critical Review. Turkish Journal of Computer and Mathematics Education, 12(6), 3091 – 3105.
Li, I., & Carroll, D. (2017). Factors Influencing University Student Satisfaction, Dropout and Academic Performance: An Australian Higher Education Equity Perspective. National Centre for Student Equity in Higher Education (NCSEHE), Curtin University: Perth.
Liz-Domínguez, M., Llamas-Nistal, M., Caeiro-Rodríguez, M., & Mikic-Fonte, M.(2022) LMS Logs and Student Performance: The Influence of Retaking a Course. In Global Engineering Education Conference, https://doi.org/10.1109/EDUCON52537.2022.9766691
Lu, O., Huang, J., Huang, A., & Yang, S. (2017) Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course, Interactive Learning Environments, 25(2), 220 – 234. https://doi.org/10.1080/10494820.2016.1278391
Mandernach, B. (2015). Assessment of Student Engagement in Higher Education: A Synthesis of Literature and Assessment Tools. International Journal of Learning, Teaching and Educational Research, 12(2), 1-14.
Meseret, G., & Ananda, R. (2018). University Students’ Engagement and Academic Achievement in Ethiopian Public Universities. Journal of Advances and Scholarly Researches in Allied Education, Multidisciplinary Academic Research, 15(12), 115 – 122.
Morales Vallejo (2012). Estadística aplicada a las Ciencias Sociales. Universidad Pontificia Comillas, Madrid, Facultad de Humanidades, http://www.upcomillas.es/personal/peter/investigacion/Tama%F1oMuestra.pdf
Nuevo León (2017). Presentación sobre el Plan de Desarrollo Industrial del Gobierno del Estado de Nuevo León, iniciativa Nuevo León 4.0: un ecosistema de colaboración entre Gobierno, Academia e Industria. México. http://www.nl.gob.mx/publicaciones/nuevo-leon-40
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