Teaching performance and academic achievement in hybrid mathematics classes in Alternative Basic Education
Desempeño docente y rendimiento académico en clases híbridas de matemática en Educación Básica AlternativaMain Article Content
Background: Teaching practices are crucial for learning in Alternative Basic Education; however, evidence regarding their impact on exact sciences within hybrid environments remains insufficient. Objective: To determine the relationship between teaching performance and academic achievement in hybrid mathematics classes at an Alternative Basic Education center in Metropolitan Lima. Methods: A quantitative, basic, non-experimental, correlational, and cross-sectional design was adopted. The sample consisted of 300 students. Data collection employed a teaching performance perception questionnaire, covering pedagogical capacities, professional responsibility, interpersonal relationships, and official grading records for academic achievement. Given the non-normal data distribution, Spearman's Rho coefficient was employed for inferential analysis. Results: Low teaching performance predominated (60.7%), while academic achievement was distributed across satisfactory (35.7%), regular (33.0%), and deficient (31.3%) levels, with no instances of excellence. A high positive correlation was identified between variables (ρ = 0.771; p < 0.001), as well as significant correlations across all dimensions of mathematical performance. Conclusion: Teaching performance is significantly associated with academic achievement in hybrid mathematics contexts. These findings highlight the necessity of strengthening pedagogical competencies, professional responsibility, and interpersonal relationships to improve educational quality for youth and adult populations.
Contexto: El quehacer pedagógico docente resulta crucial para el aprendizaje en Educación Básica Alternativa, si bien la evidencia sobre su incidencia en la enseñanza de ciencias exactas, en entornos híbridos, es aún insuficiente. Objetivo: Determinar la relación entre el desempeño docente y el rendimiento académico en clases híbridas de matemática en un Centro de Educación Básica Alternativa de Lima Metropolitana. Metodología: Se adoptó un enfoque cuantitativo, básico, con diseño no experimental, correlacional y de corte transversal. La muestra estuvo conformada por 300 estudiantes. Se empleó un cuestionario de percepción del desempeño docente con tres dimensiones (capacidades pedagógicas, responsabilidad profesional y relaciones interpersonales) y una ficha de registro de calificaciones oficiales para el rendimiento académico. El análisis inferencial utilizó el coeficiente Rho de Spearman ante la ausencia de normalidad en los datos. Resultados: El nivel bajo de desempeño docente predominó con el 60.7%, mientras que el rendimiento académico se concentró en niveles satisfactorio (35.7%), regular (33.0%) y deficiente (31.3%), sin registro de niveles excelentes. Se identificó una correlación positiva alta entre ambas variables (ρ = 0.771; p < 0.001), así como correlaciones significativas con cada dimensión del rendimiento matemático. Conclusión: El desempeño docente se asocia de forma significativa con el rendimiento académico en matemáticas en contextos híbridos en el modelo de educación investigado, lo que resalta la necesidad de fortalecer las competencias pedagógicas, la responsabilidad profesional y las relaciones interpersonales del profesorado para mejorar la calidad educativa en poblaciones jóvenes y adultas.
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Abdissa, D. G., Duressa, E. G. y Olkaba, T. T. (2024). Effect Of Blended Learning Educational Model On Secondary School Students’ Mathematics Conceptual Understanding. Problems of Education in the 21st Century, 82(5), 585. https://doi.org/10.33225/pec/24.82.585
Abedi, E. A. (2024). Tensions between technology integration practices of teachers and ICT in education policy expectations: implications for change in teacher knowledge, beliefs and teaching practices. Journal of computers in education, 11(4), 1215-1234.
https://doi.org/10.1007/s40692-023-00296-6
Adnan, M., Tondeur, J., Scherer, R. y Siddiq, F. (2024). Profiling teacher educators: ready to prepare the next generation for educational technology use? Technology, Pedagogy and Education, 33(4), 527-544. https://doi.org/10.1080/1475939X.2024.2322481
Akram, H., Abdelrady, A. H., Al-Adwan, A. S. y Ramzan, M. (2022). Teachers’ perceptions of technology integration in teaching-learning practices: A systematic review. Frontiers in Psychology, 13, 920317. https://doi.org/10.3389/fpsyg.2022.920317
Almulla, M. A. (2023). Constructivism learning theory: A paradigm for students’ critical thinking, creativity, and problem solving to affect academic performance in higher education. Cogent education, 10(1), 2172929. https://doi.org/10.1080/2331186X.2023.2172929
Alvarez, R. P., Jivet, I., Perez-Sanagustin, M., Scheffel, M. y Verbert, K. (2022). Tools designed to support self-regulated learning in online learning environments: A systematic review. IEEE Transactions on Learning Technologies, 15(4), 508-522.
https://doi.org/10.1109/TLT.2022.3193271
Baker, R. S., Hutt, S., Brooks, C. A., Srivastava, N. y Mills, C. (2024). Open Science and Educational Data Mining: Which Practices Matter Most? International Educational Data Mining Society. https://files.eric.ed.gov/fulltext/ED675565.pdf
Bond, M., Bedenlier, S., Marín, V. I. y Händel, M. (2021). Emergency remote teaching in higher education: Mapping the first global online semester. International journal of educational technology in higher education, 18(1), 50. https://doi.org/10.1186/s41239-021-00282-x
Cabero, J., Serrano, M., Palacios, A. y Llorente, C. (2022). El alumnado universitario como evaluador de materiales educativos en formato t-MOOC para el desarrollo de la Competencia Digital Docente según DigCompEdu. Comparación con juicio de expertos. Edutec, Revista Electrónica de Tecnología Educativa(81), 1-17.
https://doi.org/10.21556/edutec.2022.81.2503
Celik, I., Dindar, M., Muukkonen, H. y Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y
Chen, X., Zou, D., Xie, H., Cheng, G. y Liu, C. (2022). Two decades of artificial intelligence in education Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology and Society, 25(1), 28-47.
https://www.jstor.org/stable/48647028
Deep, A. (2022). Meta-analysis of self-regulated learning strategies and academic achievement. International Journal of Multidisciplinary Educational Research, 11(4), 1-8. https://doi.org/10.14689/ejer.2017.69.4
Divjak, B., Rienties, B., Iniesto, F., Vondra, P. y Žižak, M. (2022). Flipped classrooms in higher education during the COVID-19 pandemic: findings and future research recommendations. International journal of educational technology in higher education, 19(1), 9. https://doi.org/10.1186/s41239-021-00316-4
Egara, F. O. y Mosimege, M. (2024). Effect of blended learning approach on secondary school learners’ mathematics achievement and retention. Education and information technologies, 29(15), 19863-19888. https://doi.org/10.1007/s10639-024-12651-w
Emslander, V., Holzberger, D., Ofstad, S. B., Fischbach, A. y Scherer, R. (2025). Teacher–student relationships and student outcomes: A systematic second-order meta-analytic review. Psychological Bulletin. https://doi.org/10.1037/bul0000461
Engida, M. A., Iyasu, A. S. y Fentie, Y. M. (2024). Impact of teaching quality on student achievement: student evidence. Frontiers in Education, 9, 1367317. https://doi.org/10.3389/feduc.2024.1367317
Fabian, K., Smith, S. y Taylor-Smith, E. (2024). Being in two places at the same time: a future for hybrid learning based on student preferences. TechTrends, 68(4), 693-704. https://doi.org/10.1007/s11528-024-00974-x
Geiger, V., Gal, I. y Graven, M. (2023). The connections between citizenship education and mathematics education. ZDM–Mathematics education, 55(5), 923-940.
https://doi.org/10.1007/s11858-023-01521-3
Gudoniene, D., Staneviciene, E., Huet, I., Dickel, J., Dieng, D., Degroote, J., Rocio, V., Butkiene, R. y Casanova, D. (2025). Hybrid teaching and learning in higher education: A systematic literature review. Sustainability, 17(2), 756. https://doi.org/10.3390/su17020756
Gutiérrez, J. J., Palacios, A., Martín, L. y Serrano, M. (2023). Development of digital teaching competence: Pilot experience and validation through expert judgment. Education Sciences, 13(1), 52. https://doi.org//10.3390/educsci13010052
Hattie, J. y Zierer, K. (2024). 10 mindframes for visible learning: Teaching for success. Routledge. https://doi.org/10.4324/9781003430124
Ifenthaler, D. y Yau, J. Y.-K. (2020). Utilising learning analytics to support study success in higher education: a systematic review. Educational technology research and development, 68(4), 1961-1990. https://doi.org/10.1007/s11423-020-09788-z
Khan, F., Preeti y Gupta, V. (2024). Examining the relationships between instructional leadership, teacher self-efficacy and job satisfaction: a study of primary schools in India. Journal of Educational Administration, 62(2), 223-238. https://doi.org/10.1108/JEA-09-2022-0145
Mahapatro, M., Gonzales-Hyde, D. y Durham, M. (2025). A Match Made in Heaven? A Critique of the World Development Report: Migrants, Refugees and Societies. Progress in Development Studies, 25(2), 123-139. https://doi.org/10.1177/14649934251360536
Maldonado, K. M., Michay, R. V., Borja, S. B. y Bolívar, E. P. (2025). La educación de adultos: Estrategia de transformación social desde el enfoque andragógico del siglo XXI. Revista Ciencias de la Educación y el Deporte, 3(1), 406-422.
https://doi.org/10.70262/rced.v3i1.2025.103
Niyazova, G. B., Utemov, V. V., Savina, T. N., Karavanova, L. Z., Karnaukh, I. S., Zakharova, V. L. y Galimova, E. G. (2022). Classification of open mathematical problems and their role in academic achievement and motivation of students. Eurasia Journal of Mathematics, Science and Technology Education, 18(8), em2143.
https://doi.org/10.29333/ejmste/12265
Organización para la Cooperación y el Desarrollo Económicos. (2023). Education at a Glance 2023. OECD Indicators.
Palacios, A. (2023). Digital Teaching Competence According to the DigCompEdu Framework. Comparative Study in Different Latin American Universities. Journal of New Approaches in Educational Research. https://doi.org/10.7821/naer.2023.7.1452
Palacios, A., Llorente, C., Lucas, M. y Bem-Haja, P. J. (2025). Macroevaluación de la competencia digital docente. Estudio DigCompEdu en España y Portugal. RIED-Revista Iberoamericana de Educación a Distancia, 28(1), 177-196. https://doi.org/10.5944/ried.28.1.41379
Putri, A. D. y Juandi, D. (2025). Blended Learning and Math Achievement: A Meta-Analytic Review Highlighting the Effectiveness and Heterogeneity. Electronic Journal of e-Learning, 23(1), 113-128. https://doi.org/10.34190/ejel.23.1.3781
Sahni, S., Verma, S. y Kaurav, R. P. S. (2025). Understanding digital transformation challenges for online learning and teaching in higher education institutions: a review and research framework. Benchmarking: An International Journal, 32(5), 1487-1521. https://doi.org/10.1108/BIJ-04-2022-0245
Torres, R., Mejía, N. y Huayta, Y. (2024). Problemas y desafíos de las Políticas Públicas Educativas en América Latina: Una revisión sistemática. Comuni@ cción: Revista de Investigación en Comunicación y Desarrollo, 15(2), 167-180. https://doi.org/10.33595/2226-1478.15.2.1052
Xu, W. y Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and information technologies, 27(3), 4195-4223. https://doi.org/10.1007/s10639-021-10774-y
Xu, Z., Zhao, Y., Zhang, B., Liew, J. y Kogut, A. (2023). A meta-analysis of the efficacy of self-regulated learning interventions on academic achievement in online and blended environments in K-12 and higher education. Behaviour and Information Technology, 42(16), 2911-2931. https://doi.org/10.1080/0144929X.2022.2151935
Yang, D., Chen, P., Wang, H., Wang, K. y Huang, R. (2022). Teachers' autonomy support and student engagement: A systematic literature review of longitudinal studies. Frontiers in Psychology, 13, 925955. https://doi.org/10.3389/fpsyg.2022.925955