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Learning Approaches: Cross-Cultural Differences (Spain–Argentina) and Academic Achievement in College Students

Published online by Cambridge University Press:  01 June 2023

Agustín Freiberg-Hoffmann
Affiliation:
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina) Universidad de Buenos Aires (Argentina)
Agustín Romero-Medina*
Affiliation:
Universidad de Murcia (Spain)
Beatriz López-Fernández
Affiliation:
Universidad de Murcia (Spain)
Mercedes Fernández-Liporace
Affiliation:
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina) Universidad de Buenos Aires (Argentina)
*
Correspondence concerning this article should be addressed to Agustín Romero-Medina. Universidad de Murcia. Departamento de Psicología Básica y Metodología. Campus de Espinardo, Facultad de Psicología. 30100 Murcia (Spain). E-mail: agustinr@um.es

Abstract

Learning approaches describe the students’ degree of cognitive commitment to learning in diverse types of academic tasks and educational environments. Even though from a micro-level perspective different profiles of approaches have been identified in high-achievement undergraduates attending several majors, such profiles have not been examined from a macro-level approach in terms of distinct educational cultures. Therefore, the research involved two studies conducted on undergraduates from Argentina and Spain: The first one was aimed at analyzing the psychometric features of the Approaches and Study Skills Inventory for Students (ASSIST) whereas the second was focused on examining the learning approaches profiles of high and low achievers attending the same major (Psychology) in two different educational cultures (Spain and Argentina). The scale’s original internal structure, examined on a sample of 400 participants (50% Spanish), was verified except for one item, which was fatherly eliminated. The resulting structure was tested and proven verified in a new sample (N = 1,334; 58.3% Spanish) by confirmatory factor analysis, factorial invariance, and internal consistency studies. External validity evidence was examined as well. Additionally, norms to be used in the professional field were calculated.

Profiles of learning approaches by academic achievement from each country were examined by latent class analysis. In both cases, high achievers reported higher and more frequent use of the Deep and Strategic approaches and lower and less frequent usage of the Surface one. Further studies should replicate these analyses in undergraduates attending other majors in order to test the hypothesis sustaining these findings’ generalization.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Universidad Complutense de Madrid and Colegio Oficial de la Psicología de Madrid

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Footnotes

Funding Statement: This study was developed with the support of a funding grant from the Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación (PICT–2020–SERIEA–00087) as well as another funding grant (PIP #11220200100352CO) and an external postdoctoral fellowship from the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).

Conflicts of Interest: None.

Data Sharing: The data that support the findings of this study are available from the corresponding author upon reasonable request.

Authorship credit: Conceptualization by Freiberg-Hoffmann, Romero-Medina, López-Fernández and Fernández-Liporace; methodology by Freiberg-Hoffmann; data collection by Freiberg-Hoffmann and Romero-Medina; visualization by Freiberg-Hoffmann; writing-original draft by Freiberg-Hoffmann, Romero-Medina, López-Fernández and Fernández-Liporace; writing-rewriting and editing by Freiberg-Hoffmann, Romero-Medina and Fernández-Liporace.

References

American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association. American Psychological Association, & National Council on Measurement in Education.Google Scholar
Alsayed, S., Alshammari, F., Pasay-an, E., & Dator, W. L. (2021). Investigating the learning approaches of students in nursing education. Journal of Taibah University Medical Sciences, 16(1), 4349. https://doi.org/10.1016/j.jtumed.2020.10.008Google ScholarPubMed
Altman, D. G. (2014). Categorizing continuous variables. Wiley StatsRef: Statistics Reference Online. Wiley. https://doi.org/10.1002/9781118445112.stat04857Google Scholar
American Psychological Association (2015). APA dictionary of psychology. (2nd ed.). Retrieved September 9, 2022, from https://dictionary.apa.org/Google Scholar
Asikainen, H., & Katajavuori, N. (2022). First-year experience in the COVID-19 situation and the association between students’ approaches to learning, study-related burnout and experiences of online studying. Social Sciences, 11, Article 390. https://doi.org/10.3390/socsci11090390Google Scholar
Azer, S. A., Guerrero, A. P. S., & Walsh, A. (2013). Enhancing learning approaches: Practical tips for students and teachers. Medical Teacher, 35(6), 433443. https://doi.org/10.3109/0142159x.2013.775413CrossRefGoogle ScholarPubMed
Bansal, S., Bansal, M., & White, S. (2021). Association between learning approaches and medical student academic progression during preclinical training. Advances in Medical Education and Practice, 12, 13431351. https://doi.org/10.2147/amep.s329204CrossRefGoogle ScholarPubMed
Biggs, J. (1979). Individual differences in study processes and the quality of learning outcomes. Higher Education, 8, 381394. https://doi.org/10.1007/BF01680526Google Scholar
Biggs, J. (2005). Calidad del aprendizaje universitario [Teaching for quality learning at University] (P. Manzano, Trans.). Narcea. (Original work published in 1999).Google Scholar
Biggs, J., Kember, D., & Leung, D. Y. P. (2001). The revised two-factor study process questionnaire: R–SPQ–2F. British Journal of Educational Psychology, 71(1), 133149. https://doi.org/10.1348/000709901158433CrossRefGoogle ScholarPubMed
Biggs, J., & Tang, C. (2011). Teaching for quality learning at university. Mc Graw Hill.Google Scholar
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, Article 149. https://doi.org/10.3389/fpubh.2018.00149CrossRefGoogle ScholarPubMed
Cheung, K., Ho, C. S. W., Tsang, H., & Lau, E. (2022). Comparing the learning approaches of transfer students and direct entrants in an Asian higher education context. Sustainability, 14, Article 2523. https://doi.org/10.3390/su14052523Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2?>nd?> Ed.). Lawrence Erlbaum Associates.Google Scholar
Chonkar, S. P., Ha, T. C., Chu, S. S. H., Ng, A. X., Lim, M. L. S., Ee, T. X., Ng, M. J., & Tan, K. H. (2018). The predominant learning approaches of medical students. BMC Medical Education, 18(1), Article 17. https://doi.org/10.1186/s12909-018-1122-5CrossRefGoogle ScholarPubMed
Davidov, E., Schmidt, P., Billiet, J., & Meuleman, B. (2018). Cross-cultural analysis. Methods and applications. Routledge. https://doi.org/10.4324/9781315537078Google Scholar
de la Fuente, J., Sander, P., Kauffman, D. F., & Yilmaz Soylu, M. (2020). Differential effects of self- vs. external-regulation on learning approaches, academic achievement, and satisfaction in undergraduate students. Frontiers in Psychology, 11, Article 543884. https://doi.org/10.3389/fpsyg.2020.543884Google ScholarPubMed
Dennehy, E. (2015). Learning approaches and cultural influences: A comparative study of Confucian and western-heritage students. Journal of Further and Higher Education, 39(6), 818838. https://doi.org/10.1080/0309877X.2013.869561Google Scholar
De Santis, K. K. (2018, April 2018). Learning approaches in the Research Methods module in psychology. Resonanz. https://blogs.uni-bremen.de/resonanz/2018/04/20/psychology/Google Scholar
Entwistle, N. (2001). Styles of learning and approaches to studying in higher education. Kybernetes, 30(5/6), 593603. http://doi.org/10.1108/03684920110391823CrossRefGoogle Scholar
Entwistle, N., Hanley, M., & Hounsell, D. (1979). Identifying distinctive approaches to studying. Higher Education, 8(4), 365380. https://doi.org/10.1007/bf01680525CrossRefGoogle Scholar
Entwistle, N. J., McCune, V., & Tait, H., (2013). Approaches and Study Skills Inventory for Students (ASSIST). https://www.researchgate.net/publication/50390092_Approaches_to_learning_and_studying_inventory_ASSIST_3rd_editionGoogle Scholar
Feldt, L. S., Woodruff, D. J., & Salih, F. A. (1987). Statistical inference for coefficient alpha. Applied Psychological Measurement, 11, 93103. http://doi.org/10.1177/014662168701100107Google Scholar
Ferrando, P. J., & Lorenzo-Seva, U. (2018). Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educational and Psychological Measurement, 78, 762780. http://doi.org/10.1177/0013164417719308Google ScholarPubMed
Fleming, J. S., & Merino-Soto, C. (2005). Medidas de simplicidad y ajuste factorial: Un enfoque para la evaluación de escalas construidas factorialmente [Simplicity measures and factorial fit: An approach to the evaluation of factorially constructed scales]. Revista de Psicología PUCP, 23(2), 250266. https://doi.org/10.18800/psico.200502.002Google Scholar
Freiberg-Hoffmann, A., Fernández-Liporace, M., & Ledesma, R. (2017). Enfoques de aprendizaje en estudiantes universitarios de Buenos Aires [Learning approaches in university students from Buenos Aires]. Pensando Psicología, 13(21), 1932.Google Scholar
Freiberg-Hoffmann, A., Romero-Medina, A., Curione, K., & Marôco, J. (2022). Adaptación y validación transcultural al español del University Student Engagement Inventory [Cross-cultural adaptation and validation of the University Student Engagement Inventory into Spanish]. Revista Latinoamericana de Psicología, 54, 187-195. https://doi.org/10.14349/rlp.2022.v54.21Google Scholar
Gandía Herrero, P., & Romero Medina, A. (2019). La exigencia cognitiva en los exámenes tipo test en contexto universitario y su relación con los enfoques de aprendizaje, la autorregulación, los métodos docentes y el rendimiento académico [The cognitive requirement in the multiple-choice exams in the university context and its relationship with learning approaches, self-regulation, teaching methods and academic performance]. European Journal of Investigation in Health, Psychology and Education, 9(3), 177187. https://doi.org/10.30552/ejihpe.v9i3.333Google Scholar
García de Fanelli, A. (2018). Panorama de la educación superior en Iberoamérica a través de los indicadores de la Red Indices [Overview of higher education in Ibero-America through the indicators of the Indices Network]. Red Iberoamericana de Indicadores de Educación Superior y Observatorio Iberoamericano de la Ciencia, la Tecnología y la Sociedad. http://www.redindices.org/attachments/article/85/Panorama%20de%20la%20educaci%C3%B3n%20superior%20iberoamericana%20versi%C3%B3n%20Octubre%202018.pdfGoogle Scholar
Hidalgo-Montesinos, M., Romero-Medina, A., González-Javier, F., García-Sevilla, J., Pérez-Sánchez, M., Carrillo-Verdejo, E., Díaz-Herrero, A., Godoy-Fernández, C., García-Montalvo, C., Pedraja, M., Chaparro, M., Bermejo-Bravo, F., Fernández-Ros, , & Peñaranda-Ortega, M. (2009, September 22–24). Herramientas de evaluación de los estilos de aprendizaje en universitarios: Traducción y adaptación del cuestionario ASSIST [Tools for evaluating learning styles in university students: Translation and adaptation of the ASSIST questionnaire] [Conference session]. IV Jornadas sobre el Espacio Europeo de Educación Superior: “El Espacio Europeo de Educación Superior en el horizonte del 2010”, Murcia, Spain.Google Scholar
Joshi, A. S., Contractor, J. B., Ganjiwale, J. D., & Patel, M. H. (2021). Identification of predominant learning approaches in medical students using ASSIST in an Indian medical school: A cross-sectional survey. Journal of Clinical and Diagnostic Research, 15, JC01–JC06. https://doi.org/10.7860/jcdr/2021/49689.15626Google Scholar
Karagiannopoulou, E., & Milienos, F. S. (2015). Testing two path models to explore relationships between students’ experiences of the teaching–learning environment, approaches to learning and academic achievement. Educational Psychology, 35(1), 2652. http://doi.org/10.1080/01443410.2014.895800Google Scholar
Kiliç, A. F., & Doğan, N. (2021). Comparison of confirmatory factor analysis estimation methods on mixed-format data. International Journal of Assessment Tools in Education, 8(1), 2137. https://doi.org/10.21449/ijate.782351Google Scholar
Lim, S., & Jahng, S. (2019). Determining the number of factors using parallel analysis and its recent variants. Psychological Methods, 24(4), 452467. http://doi.org/10.1037/met0000230CrossRefGoogle ScholarPubMed
Lindblom-Ylänne, S., Parpala, A., & Postareff, L. (2019). What constitutes the surface approach to learning in the light of new empirical evidence? Studies in Higher Education, 44, 21832195. http://doi.org/10.1080/03075079.2018.1482267CrossRefGoogle Scholar
Liu, Y., Millsap, R. E., West, S. G., Tein, J.-Y., Tanaka, R., & Grimm, K. J. (2017). Testing measurement invariance in longitudinal data with ordered-categorical measures. Psychological Methods, 22(3), 486506. http://doi.org/10.1037/met0000075Google ScholarPubMed
López-Segrera, F. L. (2016). Educación superior comparada: Tendencias mundiales y de América Latina y Caribe [Comparative higher education: Worldwide trends and of Latin America and the Caribbean]., Avaliação: Revista Da Avaliação Da Educação Superior (Campinas) 21(1), 1332. https://doi.org/10.1590/S1414-40772016000100002Google Scholar
Lorenzo-Seva, U., & Ferrando, P. J. (2019). Manual of the Program FACTOR. Department de Psicologia Universitat Rovira I Virgili. http://psico.fcep.urv.es/utilitats/factor/Google Scholar
Martínez-Fernández, J. R., & Vermunt, J. D. (2013). A cross-cultural analysis of the patterns of learning and academic performance of Spanish and Latin-American undergraduates. Studies in Higher Education, 40(2), 278295. https://doi.org/10.1080/03075079.2013.823934CrossRefGoogle Scholar
Marton, F., & Säljö, R. (1976). On qualitative differences in learning: I. Outcome and process. Symposium: Learning processes and strategies. British Journal of Educational Psychology, 46, 411. https://doi.org/10.1111/j.2044-8279.1976.tb02980.xGoogle Scholar
Merino-Soto, C., & Lautenschlager, G. (2003). Comparación estadística de la confiabilidad alfa de Cronbach: Aplicaciones en la medición educacional y psicológica [Statistical comparison of the Cronbach ́s alpha reliability: Applications in the educational and psychological measurement]. Revista de Psicología de la Universidad de Chile, 12(2), 127136. https://doi.org/10.5354/0719-0581.2012.17668Google Scholar
Motes, N. & Osorio, L. (2020). Rasgos de la educación superior en Iberoamérica a través de la Red Indices. Red Iberoamericana de Indicadores de Educación Superior. http://www.redindices.org/novedades/134-rasgos-de-la-educacion-superior-en-iberoamerica-a-traves-de-la-red-indicesGoogle Scholar
Niles, F. S. (1995). Cultural differences in learning motivation and learning strategies: A comparison of overseas and Australian students at an Australian university. International Journal of Intercultural Relations, 19(3), 369385. https://doi.org/10.1016/0147-1767(94)00025-SGoogle Scholar
Öhrstedt, M., & Lindfors, P. (2016). Linkages between approaches to learning, perceived stress and expected and actual academic outcomes among first-semester psychology students. Journal of Further and Higher Education, 42(1), 116129. https://doi.org/10.1080/0309877X.2016.1206856Google Scholar
Öhrstedt, M., & Lindfors, P. (2018). First-semester students’ capacity to predict academic achievement as related to approaches to learning. Journal of Further and Higher Education, 43(10), 14201432. https://doi.org/10.1080/0309877X.2018.1490950CrossRefGoogle Scholar
Pais, J., Silva, A., Guimarães, B., Povo, A., Coelho, E., Silva-Pereira, F., Lourinho, I., Ferreira, M. A., & Severo, M. (2016). Do item-writing flaws reduce examinations psychometric quality? BMC Research Notes, 9(1), Article 399. https://doi.org/10.1186/s13104-016-2202-4Google ScholarPubMed
Parpala, A., Katajavuori, N., Haarala-Muhonen, A., & Asikainen, H. (2021). How did students with different learning profiles experience ‘normal’ and online teaching situation during COVID–19 Spring? Social Sciences, 10 , Article 337. https://doi.org/10.3390/socsci10090337CrossRefGoogle Scholar
Pastor Seller, E., Farías Gramegna, A. J., Rujano Roque, R., & Sáez González, R. (2019). Social and academic profile of the university student of social work a comparative study in Spain, Argentina, and Venezuela. Social Work Education, 39(6), 765784. https://doi.org/10.1080/02615479.2019.1653838Google Scholar
Petersen, K. J., Qualter, P., & Humphrey, N. (2019). The application of latent class analysis for investigating population child mental health: A systematic review. Frontiers in Psychology, 10, Article 1214. https://doi.org/10.3389/fpsyg.2019.01214CrossRefGoogle ScholarPubMed
Pham, H., Besanko, J., & Devitt, P. (2018). Examining the impact of specific types of item-writing flaws on student performance and psychometric properties of the multiple choice question [Version 1]. MedEdPublish, 7(4), Article 225. https://doi.org/10.15694/mep.2018.0000225.1Google Scholar
Rodríguez-Ayán, M. N., & Ruíz-Díaz, M. A. (2011). Indicadores de rendimiento de estudiantes universitarios: Calificaciones versus créditos acumulados [University students’ academic achievement indicators: Grades versus cumulative credits]. Revista de Educación, 355, 467492. https://doi.org/10-4438/1988-592X-RE-2011-355-033Google Scholar
Rojas Torres, L., Rojas Rojas, G., & Brizuela Rodríguez, A. (2018). The use of measurement invariance with dichotomous variables as evidence of validity. Evaluar, 18(2), 4558. https://doi.org/10.35670/1667-4545.v18.n2.20807Google Scholar
Romero-Medina, A., Hidalgo-Montesinos, M., González-Javier, F., Carrillo-Verdejo, E., Pedraja Linares, M. J., García-Sevilla, J., Pérez-Sánchez, M. A. (2013). Enfoques de aprendizaje en estudiantes universitarios: Comparación de resultados con los cuestionarios ASSIST y R–SPQ–2F [Learning approaches in university students: Comparison of results with the ASSIST and R–SPQ–2F questionnaires]. Revista de Investigación Educativa, 31(2), 375391. https://doi.org/10.6018/rie.31.2.151851Google Scholar
Ruiz, E., Ruiz, G. A., & Odstrcil, M. (2007). Metodología para realizar el seguimiento académico de alumnos universitarios [Methodology for academic monitoring of university students]. Revista Iberoamericana de Educación, 42(3), 19. https://rieoei.org/historico/deloslectores/1590Ruiz.pdfGoogle Scholar
Sam, L. (2020). Relationship between learning approaches and academic achievement of accounting education students. International Journal of Scientific and Research Publications, 10(7), 919924. http://doi.org/10.29322/IJSRP.10.07.2020.p103103Google Scholar
Schreiber, J. B. (2017). Latent class analysis: An example for reporting results. Research in Social and Administrative Pharmacy, 13(6), 11961201. https://doi.org/10.1016/j.sapharm.2016.11.011Google ScholarPubMed
Smarandache, I. G., Maricutoiu, L. P., Ilie, M. D., Iancu, D. E., & Mladenovici, V. (2022). Students’ approach to learning: Evidence regarding the importance of the interest-to-effort ratio. Higher Education Research & Development, 41(2), 546561. https://doi.org/10.1080/07294360.2020.1865283CrossRefGoogle Scholar
Tait, H., Entwistle, N. J., & McCune, V. (1998). ASSIST. A reconceptualization of the Approaches to Studying Inventory. In Rust, C. (Ed.), Improving students as learners (pp. 262271). Oxford Brookes University.Google Scholar
Takase, M., Imai, T., Niitani, M., & Okada, M. (2019). Teaching context contributing to nursing students’ adoption of a deep approach to learning. Journal of Professional Nursing, 35, 379388. https://doi.org/10.1016/j.profnurs.2019.04.006Google ScholarPubMed
van Zyl, L. E., & ten Klooster, P. M. (2022). Exploratory structural equation modeling: Practical guidelines and tutorial with a convenient online tool for Mplus. Frontiers in Psychiatry, 12, Article 795672. https://doi.org/10.3389/fpsyt.2021.795672Google ScholarPubMed
Wang, J., & Wang, X. (2020). Structural equation modeling: Applications using Mplus. Willey.Google Scholar
Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219246. https://doi.org/10.1177/0095798418771807Google Scholar
Weller, B. E., Bowen, N. K., & Faubert, S. J. (2020). Latent class analysis: A guide to best practice. Journal of Black Psychology, 46(4), 287311. https://doi.org/10.1177/0095798420930932Google Scholar
Zamora-Menéndez, Á., Gil Flores, J., & de Besa Gutiérrez, M.R. (2020). Enfoques de aprendizaje y perspectiva temporal: Persistencia en estudiantes universitarios [Learning approaches, time perspective and persistence in university students]. Educación XX1, 23(2), 1739. https://doi.org/10.5944/educXX1.25552Google Scholar
Zhao, J., & Qin, Y. (2021). Perceived teacher autonomy support and students’ deep learning: The mediating role of self-efficacy and the moderating role of perceived peer support. Frontiers in Psychology, 12, Article 652796. https://doi.org/10.3389/fpsyg.2021.652796Google ScholarPubMed