Echoes of Experience in Teacher Selection: Perspectives from Preservice Mathematics and Science Teachers
Article Number: e2025011 | Published Online: January 2025 | DOI: 10.22521/edupij.2025.14.11
Youssef Oulaydi , El Faylali Hanan , Guerss Fatima-Zahra , El Qryefy Mouhcine , Bouhaba Abdelmounaim , Darif Hajar , Youssef El Madhi
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Abstract
Background/purpose. This study investigates the selection process of preservice mathematics and science teachers in Morocco, aiming to assess the perspectives of candidates on the fairness and efficacy of the process. The primary purpose of the study is to explore the challenges and concerns surrounding the criteria used for teacher recruitment. Materials/methods. A cross-sectional survey approach was used, involving 212 candidates enrolled at the Regional Center for Education and Training Professions in Rabat. Data were collected through a structured questionnaire focusing on the preliminary selection criteria, written tests, and interviews. Results. Candidates expressed concerns over age-based selection criteria and qualification requirements in the initial selection, suggesting these do not predict teaching quality. The alignment of written exams with university curricula was questioned, particularly regarding didactics and educational sciences. Additionally, the written tests were seen as insufficient in assessing practical teaching competencies, calling for more scenario-based questions. |
Conclusion. The study highlights the need for a more inclusive and adaptable selection process that addresses concerns over age limits and balances academic qualifications with practical teaching skills. Improving the alignment with curricula and incorporating real-world scenarios could enhance fairness and better assess the competencies essential for effective teaching in Morocco.
Keywords: preservice teachers, selection process, mathematics teachers, science teachers, teacher selection
ReferencesAlderson, J. C., & Wall, D. (1993). Does washback exist? Applied Linguistics, 14(2), 115-129. https://doi.org/10.1093/applin/14.2.115
Antoniou, P., Kyriakides, L., & Creemers, B. P. (2015). The dynamic integrated approach to teacher professional development: Rationale and main characteristics. Teacher Development, 19(4), 535–552. https://doi.org/10.1080/13664530.2015.1079550
Atteberry, A., Loeb, S., & Wyckoff, J. (2015). Do first impressions matter? Predicting early career teacher effectiveness. AERA Open, 1(4), 1–23. https://doi.org/10.1177/2332858415607834
Bahr, N., & Mellor, S. (2016). Building quality in teaching and teacher education. ACER Press.
Bautista, A., Estrada, C., Jaravata, A. M., Mangaser, L. M., Narag, F., Soquila, R., & Asuncion, R. J. (2024). Preservice teachers’ readiness towards integrating AI-based tools in education: A TPACK approach. Educational Process: International Journal, 13(3), 40-68. https://doi.org/10.22521/edupij.2024.133.3
Beck, M. D. (2007). Review and other views: 'Alignment' as a psychometric issue. Applied Measurement in Education, 20(1), 127–135. https://doi.org/10.1080/08957340709336733
Becker, G. S. (2009). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.
Benmoussa, C. (2023). Morocco’s new development model: Charting the course for a human-capital–led development. Morocco’s Quest for Stronger and Inclusive Growth, 29.
Bilgin, H., & Aykac, N. (2016). Pre-service teachers’ teaching-learning conceptions and their attitudes towards the teaching profession. Educational Process: International Journal, 5(2), 139-151. https://doi.org/10.12973/edupij.2016.52.5
Borgatfa, E. F. (1991). Age discrimination issues. Research on Aging, 13(4), 476-484.
Bowles, T., Hattie, J., Dinham, S., Scull, J., & Clinton, J. (2014). Proposing a comprehensive model for identifying teaching candidates. The Australian Educational Researcher, 41, 365–380. https://doi.org/10.1007/s13384-014-0146-z
Ciccone, A., & Papaioannou, E. (2009). Human capital, the structure of production, and growth. The Review of Economics and Statistics, 91(1), 66–82. https://doi.org/10.1162/rest.91.1.66
Cohen, L., Manion, L., & Morrison, K. (2002). Research methods in education. Routledge. https://doi.org/10.4324/9780203224342
Cook, M. (2009). Personnel selection: Adding value through people (5th ed.). Wiely-Blackwell.
Darling-Hammond, L., & Youngs, P. (2002). Defining “highly qualified teachers”: What does “scientifically-based research” actually tell us? Educational researcher, 31(9), 13-25. http://dx.doi.org/10.3102/0013189X031009013
Davies, P., Connolly, M., Nelson, J., Hulme, M., Kirkman, J., & Greenway, C. (2016). ‘Letting the right one in’: Provider contexts for recruitment to initial teacher education in the United Kingdom. Teaching and teacher education, 60, 291-302. https://doi.org/10.1016/j.tate.2016.09.003
Elby, A. (2022, August 15). Epistemology and learning in STEM education. Oxford Research Encyclopedia of Education. https://doi.org/10.1093/acrefore/9780190264093.013.1509
Elen, A. (2022). A complete solution to exam scheduling problem: a case study. Journal of Scientific Reports-A, (049), 12–34.
Gent, I., Johnston, B., & Prosser, P. (1999). Thinking on your feet in undergraduate computer science: A constructivist approach to developing and assessing critical thinking. Teaching in Higher Education, 4(4), 511-522. https://doi.org/10.1080/1356251990040407
Goodrum, D., Druhan, A., & Abbs, J. (2012). The status and quality of year 11 and 12 science in Australian schools. Canberra: Australian Academy of Science, 1-72.
Guoning, L. (2020). Research on the Written Examination of Recruitment for Primary and Secondary School Teachers in Shandong Province—a case study of Qingzhou in Weifang. Frontiers in Educational Research, 3(11).
Han, S. W. (2018). School-based teacher hiring and achievement inequality: A comparative perspective. International Journal of Educational Development, 61, 82–91. https://doi.org/10.1016/j.ijedudev.2017.12.004
Hanushek, E. A., & Kimko, D. D. (2000). Schooling, labor-force quality, and the growth of nations. American Economic Review, 90(5), 1184–1208. https://doi.org/10.1257/aer.90.5.1184
Hanushek, E. A., & Woessmann, L. (2015). The knowledge capital of nations: Education and the economics of growth. The MIT Press. https://doi.org/10.7551/mitpress/9780262029179.001.0001
Hossain, M. M., & Robinson, M. G. (2012). How to motivate US students to pursue STEM (science, technology, engineering, and mathematics) careers. US-China Education Review A 4, 442–451.
Huxham, M., Campbell, F., & Westwood, J. (2012). Oral versus written assessments: A test of student performance and attitudes. Assessment & Evaluation in Higher Education, 37(1), 125–136. https://doi.org/10.1080/02602938.2010.515012
Joughin, G. (2007). Student conceptions of oral presentations. Studies in Higher Education, 32(3), 323–336. https://doi.org/10.1080/03075070701346873
Kane, T. J., Rockoff, J. E., & Staiger, D. O. (2008). What does certification tell us about teacher effectiveness? Evidence from New York City. Economics of Education Review, 27(6), 615-631. https://doi.org/10.1016/j.econedurev.2007.05.005
Kane, T. J., & Staiger, D. O. (2012). Gathering feedback for teaching: Combining high-quality observations with student surveys and achievement gains. Research Paper. MET Project. Bill & Melinda Gates Foundation.
Klassen, R. M., & Kim, L. E. (2019). Selecting teachers and prospective teachers: A meta-analysis. Educational Research Review, 26, 32-51. https://doi.org/10.1016/j.edurev.2018.12.003
Kunter, M., Klusmann, U., Baumert, J., Richter, D., Voss, T., & Hachfeld, A. (2013). Professional competence of teachers: effects on instructional quality and student development. Journal of educational psychology, 105(3), 805.
Muklason, A., Parkes, A. J., Özcan, E., McCollum, B., & McMullan, P. (2017). Fairness in examination timetabling: Student preferences and extended formulations. Applied Soft Computing, 55, 302-318.
Muñoz, E. C., Saadati, F., & Huencho, A. (2024). Impact of school experiences on the beliefs and instructional practices of future mathematics teachers. International Electronic Journal of Mathematics Education, 19(4), em0793. https://doi.org/10.29333/iejme/15201
OECD (2005). Teachers matter: Attracting, developing and retaining effective teachers, Education and Training Policy. OECD Publishing, Paris. https://doi.org/10.1787/9789264018044-en
OECD (2023). PISA 2022 results (Volume I): The state of learning and equity in education. PISA, OECD Publishing, Paris. https://doi.org/10.1787/53f23881-en.
Ouasri, A. (2019). La formation des enseignants des sciences au Maroc : historique, état des lieux et perspectives. Educational Journal of the University of Patras UNESCO Chair.
Polat, H. (2022). Investigating the relationships between preservice teachers’ teacher readiness, attitude towards teaching profession, and organizational attraction through structural equation modeling. Educational Process: International Journal (EDUPIJ), 11(3), 62-86. https://doi.org/10.22521/edupij.2022.113.4
Posthuma, R. A., & Campion, M. A. (2009). Age stereotypes in the workplace: Common stereotypes, moderators, and future research directions. Journal of Management, 35(1), 158-188. https://doi.org/10.1177/0149206308318617
Sanders, W. L., & Horn, S. P. (1998). Research findings from the Tennessee Value-Added Assessment System (TVAAS) Database: Implications for educational evaluation and research. Journal of Personnel Evaluation in Education, 12, 247–256. https://doi.org/10.1023/A:1008067210518
Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124(2), 262–274. https://doi.org/10.1037/0033-2909.124.2.262
Stavridis, P., & Papadopoulou, V. (2022). The contribution of teaching practice to preservice teachers’ training – empirical research of the Department of Primary Education of Western Macedonia University students’ evaluation. Educational Process: International Journal, 11(4), 92-111. https://doi.org/10.22521/edupij.2022.114.5
Stern, J. D., & Williams, M. (1986). The condition of education. US Government Printing Office.
Stronge, J. H., & Hindman, J. L. (2006). The teacher quality index: A protocol for teacher selection. ASCD.
Tatto, M. T., Peck, R., Schwille, J., Bankov, K., Senk, S. L., Rodriguez, M., Ingvarson, L., Reckase, M., & Rowley, G. (2012). Policy, practice, and readiness to teach primary and secondary mathematics in 17 countries: findings from the IEA Teacher Education and Development Study in Mathematics (TEDS-MM). International Association for the Evaluation of Educational Achievement. Herengracht 487, Amsterdam, 1017 BT, The Netherlands.
UN (2021). World losing billions annually to age-based prejudice and discrimination. Retrieved from https://www.un.org/en/desa/world-losing-billions-annually-age-based-prejudice-and-discrimination
Webb, N. L. (1999). Alignment of science and mathematics standards and assessments in four states. Research Monograph No. 18.
Wisker, G. (Ed.). (2004). Developing and assessing students' oral skills. Staff and Educational Development Association.