Evaluación de actitudes hacia la ciencia, tecnología, ingeniería y matemáticas (STEM) para fomentar la creatividad en la educación secundaria [Assessing Attitudes Toward Science, Technology, Engineering, and Mathematics (STEM) for Enhancing Creativity in Secondary Education]
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Métrica

Palabras clave

Actitudes estudiantiles
Creatividad
Educación secundaria
Evaluación de actitudes
Educación STEM
Autoeficacia
Análisis factorial confirmatorio Student attitudes
Creativity
Secondary education
Attitude assessment
STEM education
Self-efficacy
Confirmatory factor analysis

Cómo citar

Mujib, M., & Mardiyah, M. (2025). Evaluación de actitudes hacia la ciencia, tecnología, ingeniería y matemáticas (STEM) para fomentar la creatividad en la educación secundaria [Assessing Attitudes Toward Science, Technology, Engineering, and Mathematics (STEM) for Enhancing Creativity in Secondary Education]. Pixel-Bit. Revista De Medios Y Educación, 72, 39–69. https://doi.org/10.12795/pixelbit.109760

Resumen

Las actitudes de los estudiantes hacia asignaturas como ciencia, tecnología, ingeniería y matemáticas (STEM) desempeñan un papel crucial en el proceso de aprendizaje del siglo XXI. Aumentar el número de estudiantes que eligen carreras en STEM se ha reconocido como importante. En consecuencia, mejorar el aprendizaje y la participación de los estudiantes en las asignaturas STEM, así como fomentar actitudes positivas hacia STEM, se ha convertido en un objetivo principal para la educación STEM en K-12. Sin embargo, medir tales actitudes en un contexto de aprendizaje sigue siendo un desafío significativo. Esta investigación ha tenido como objetivo desarrollar una herramienta de evaluación completa y válida para evaluar las actitudes de los estudiantes hacia STEM en un contexto de aprendizaje, con el fin de mejorar su creatividad. La muestra para esta investigación ha consistido en 311 estudiantes de secundaria con una media de edad de 12,83 ± 1,04 años. La validez de la estructura de cuatro factores del modelo ha sido evaluada utilizando un análisis factorial confirmatorio. Los valores de fiabilidad para los cuatro factores han oscilado entre .73 y .94 con Alfa de Cronbach, mientras que los de fiabilidad compuesta han oscilado entre .97 y .97. La relación entre las variables en las actitudes hacia el instrumento STEM ha identificado varios coeficientes de ruta y tamaños de efecto, indicando fuertes correlaciones entre las variables de actitud STEM. El análisis ha revelado diferencias significativas según el nivel de grado, mostrando que los estudiantes de noveno grado han presentado un rendimiento mejor o al menos competitivo en la mayoría de las disciplinas. Se ha encontrado que este cuestionario es un instrumento viable para evaluar las actitudes STEM de los estudiantes de secundaria. Estos hallazgos tienen importantes implicaciones para las estrategias de educación STEM, enfatizando la necesidad de enfoques sostenidos y enfocados en experiencias de aprendizaje profundo para todos los estudiantes, independientemente del género.

https://doi.org/10.12795/pixelbit.109760
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Citas

Abina, A., Temeljotov Salaj, A., Cestnik, B., Karalič, A., Ogrinc, M., Kovačič Lukman, R., & Zidanšek, A. (2024). Challenging 21st-Century Competencies for STEM Students: Companies’ Vision in Slovenia and Norway in the Light of Global Initiatives for Competencies Development. Sustainability, 16(3), 1295. https://doi.org/10.3390/su16031295

Antonietti, C., Schmitz, M.-L., Consoli, T., Cattaneo, A., Gonon, P., & Petko, D. (2023). Development and validation of the ICAP Technology Scale to measure how teachers integrate technology into learning activities. Computers & Education, 192, 104648. https://doi.org/10.1016/j.compedu.2022.104648

Asigigan, S. İ., & Samur, Y. (2021). The effect of gamified stem practices on students’ intrinsic motivation, critical thinking disposition levels, and perception of problem-solving skills. International Journal of Education in Mathematics, Science and Technology, 9(2), 332–352. https://doi.org/10.46328/ijemst.1157

Balta, N., Japashov, N., Karimova, A., Agaidarova, S., Abisheva, S., & Potvin, P. (2023). Middle and high school girls’ attitude to science, technology, engineering, and mathematics career interest across grade levels and school types. Frontiers in Education, 8, 1158041. https://doi.org/10.3389/feduc.2023.1158041

Bandura, A. (1969). Social-learning theory of identificatory processes. In D. A. Goslin (Ed.). Handbook of Socialization Theory and Research, 213–262. Chicago, IL: Rand McNally & Company

Bandura, A. (1997). Self-efficacy: The exercise ol control. New York, NY.

Benek, I., & Akcay, B. (2019). Development of STEM attitude scale for secondary school students: Validity and reliability study. International Journal of Education in Mathematics, Science and Technology, 7(1), 32–52. https://doi.org/10.18404/ijemst.509258

Blotnicky, K. A., Franz-Odendaal, T., French, F., & Joy, P. (2018). A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students. International Journal of STEM Education, 5(1), 22. https://doi.org/10.1186/s40594-018-0118-3

Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. Springer. https://doi.org/10.1007/978-94-007-6857-4

Cervone, D., Mercurio, L., & Lilley, C. (2020). The individual stem student in context: Idiographic methods for understanding self-knowledge and intraindividual patterns of self-efficacy appraisal. Journal of Educational Psychology, 112(8), 1597. https://doi.org/10.1037/edu0000454

Chen, L., Yoshimatsu, N., Goda, Y., Okubo, F., Taniguchi, Y., Oi, M., Konomi, S., Shimada, A., Ogata, H., & Yamada, M. (2019). Direction of collaborative problem solving-based STEM learning by learning analytics approach. Research and Practice in Technology Enhanced Learning, 14(1), 24. https://doi.org/10.1186/s41039-019-0119-y

Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management. https://doi.org/10.1007/s10490-023-09871-y

Chiu, T. K., & Li, Y. (2023). How Can Emerging Technologies Impact STEM Education? Journal for STEM Education Research, 1–10. https://doi.org/10.1007/s41979-023-00113-w

Chuah, S. H.-W., Rauschnabel, P. A., Krey, N., Nguyen, B., Ramayah, T., & Lade, S. (2016). Wearable technologies: The role of usefulness and visibility in smartwatch adoption. Computers in Human Behavior, 65, 276–284. https://doi.org/10.1016/j.chb.2016.07.047

Clarke, M. M., Madaus, G. F., Horn, C. L., & Ramos, M. A. (2000). Retrospective on educational testing and assessment in the 20th century. Journal of Curriculum Studies, 32(2), 159–181. https://doi.org/10.1080/002202700182691

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155.

DeCoito, I., & Myszkal, P. (2018). Connecting Science Instruction and Teachers’ Self-Efficacy and Beliefs in STEM Education. Journal of Science Teacher Education, 29(6), 485–503. https://doi.org/10.1080/1046560X.2018.1473748

Dubina, K. S., Ice, L., Kim, J.-L., & Rieley, M. J. (2021). Projections overview and highlights, 2020–30. Monthly Labor Review, 1–38. https://www.jstor.org/stable/48631007

Durakovic, A. (2022). A Research of Middle School Students’ Attitudes towards STEM Education in Terms of Some Variables: Which Variables Had the Greatest Impact on Attitudes?. International Online Journal of Education and Teaching, 9(2), 1032–1046.

Eccles, J. S., & Wigfield, A. (2002). Motivational Beliefs, Values, and Goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153

Edwards, D., Buckley, S., Chiavaroli, N., Rothman, S., & McMillan, J. (2023). The STEM pipeline: Pathways and influences on participation and achievement of equity groups. Journal of Higher Education Policy and Management, 45(2), 206–222. https://doi.org/10.1080/1360080X.2023.2180169

English, L. D. (2016). STEM education K-12: Perspectives on integration. International Journal of STEM Education, 3(1), 3, s40594-016-0036–1. https://doi.org/10.1186/s40594-016-0036-1

Farida, F., Supriadi, N., Andriani, S., Pratiwi, D. D., Suherman, S., & Muhammad, R. R. (2022). STEM approach and computer science impact the metaphorical thinking of Indonesian students’. Revista de Educación a Distancia (RED), 22(69). https://doi.org/10.6018/red.493721

Gaskin, J., & Lim, J. (2016). Model fit measures. Gaskination’s StatWiki, 1–55.

Göktepe Körpeoğlu, S., & Göktepe Yıldız, S. (2023). Comparative analysis of algorithms with data mining methods for examining attitudes towards STEM fields. Education and Information Technologies, 28(3), 2791–2826. https://doi.org/10.1007/s10639-022-11216-z

Guàrdia, L., Maina, M., Mancini, F., & Martinez Melo, M. (2023). Key Quality Factors in Digital Competence Assessment: A Validation Study from Teachers’ Perspective. Applied Sciences, 13(4), 2450. https://doi.org/10.3390/app13042450

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Jomnonkwao, S., & Ratanavaraha, V. (2016). Measurement modelling of the perceived service quality of a sightseeing bus service: An application of hierarchical confirmatory factor analysis. Transport Policy, 45, 240–252. https://doi.org/10.1016/j.tranpol.2015.04.001

Kline, R. B. (2015). Principles and practice of structural equation modeling, 4th Edn. Guilford publications.

Knezek, G., & Christensen, R. (2008). STEM semantics survey. Computers in Human Behavior. https://doi.org/10.1037/t32658-000

Kong, S. F., & Mohd Matore, M. E. E. (2022). Can a Science, Technology, Engineering, and Mathematics (STEM) approach enhance students’ mathematics performance? Sustainability, 14(1), 379. https://doi.org/10.3390/su14010379

Kryshko, O., Fleischer, J., Grunschel, C., & Leutner, D. (2022). Self-efficacy for motivational regulation and satisfaction with academic studies in STEM undergraduates: The mediating role of study motivation. Learning and Individual Differences, 93, 102096. https://www.sciencedirect.com/science/article/pii/S1041608021001333

Luo, T., So, W. W. M., Wan, Z. H., & Li, W. C. (2021). STEM stereotypes predict students’ STEM career interest via self-efficacy and outcome expectations. International Journal of STEM Education, 8(1), 36. https://doi.org/10.1186/s40594-021-00295-y

Macun, Y., & Cemalettin, I. (2022). Effect of problem-based STEM activities on 7th grade students’ mathematics achievements, attitudes, anxiety, self-efficacy and views. International Journal of Contemporary Educational Research, 9(1), 87–102.

Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among U.S. students. Science Education, 95(5), 877–907. https://doi.org/10.1002/sce.20441

Nguyen, T. P. L., Nguyen, T. H., & Tran, T. K. (2020). STEM education in secondary schools: Teachers’ perspective towards sustainable development. Sustainability, 12(21), 8865. https://doi.org/10.3390/su12218865

Okulu, H. Z., & Oguz-Unver, A. (2021). The Development and Evaluation of a Tool to Determine the Characteristics of STEM Activities. European Journal of STEM Education, 6(1), 6. https://doi.org/10.20897/ejsteme/10894

Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1079. https://doi.org/10.1080/0950069032000032199

Óturai, G., Riener, C., & Martiny, S. E. (2023). Attitudes towards mathematics, achievement, and drop-out intentions among STEM and Non-STEM students in Norway. International Journal of Educational Research Open, 4, 100230. https://doi.org/10.1016/j.ijedro.2023.100230

Ozulku, E., & Kloser, M. (2023). Middle school students’ motivational dispositions and interest in STEM careers. International Journal of Science Education, 1–21. https://doi.org/10.1080/09500693.2023.2234778

Phillips, N. D. (2017). Yarrr! The pirate’s guide to R. APS Observer, 30.

Rusmana, A. N., Sya’bandari, Y., Aini, R. Q., Rachmatullah, A., & Ha, M. (2021). Teaching Korean science for Indonesian middle school students: Promoting Indonesian students’ attitude towards science through the global science exchange programme. International Journal of Science Education, 43(11), 1837–1859. https://doi.org/10.1080/09500693.2021.1938278

Saxton, E., Burns, R., Holveck, S., Kelley, S., Prince, D., Rigelman, N., & Skinner, E. A. (2014). A common measurement system for K-12 STEM education: Adopting an educational evaluation methodology that elevates theoretical foundations and systems thinking. Studies in Educational Evaluation, 40, 18–35. https://doi.org/10.1016/j.stueduc.2013.11.005

Siew, N. M., & Ambo, N. (2018). Development and Evaluation of an Integrated Project-Based and STEM Teaching and Learning Module on Enhancing Scientific Creativity among Fifth Graders. Journal of Baltic Science Education, 17(6), 1017–1033. https://eric.ed.gov/?id=EJ1315662

Sölpük, N. (2017). The effect of attitude on student achievement. In The factors effecting student achievement: Meta-analysis of empirical studies (pp. 57–73). Springer. https://doi.org/10.1007/978-3-319-56083-0_4

Steinberg, M., & Diekman, A. B. (2017). Elevating Positivity toward STEM Pathways through Communal Experience: The Key Role of Beliefs that STEM Affords Other‐Oriented Goals. Analyses of Social Issues and Public Policy, 17(1), 235–261. https://doi.org/10.1111/asap.12135

Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13(1), 24. https://doi.org/10.17705/1CAIS.01324

Suherman, S., & Vidákovich, T. (2022). Adaptation and Validation of Students’ Attitudes Toward Mathematics to Indonesia. Pedagogika, 147(3), 227–252. https://doi.org/10.15823/p.2022.147.11

Suherman, S., & Vidákovich, T. (2024). Relationship between ethnic identity, attitude, and mathematical creative thinking among secondary school students. Thinking Skills and Creativity, 51, 101448. https://doi.org/10.1016/j.tsc.2023.101448

Suprapto, N. (2016). Students’ Attitudes towards STEM education: Voices from ındonesian junior high schools. Journal of Turkish Science Education, 13(special), 75–87. https://doi.org/10.12973/tused.10172a

Tan, A.-L., Ong, Y. S., Ng, Y. S., & Tan, J. H. J. (2023). STEM Problem Solving: Inquiry, Concepts, and Reasoning. Science & Education, 32(2), 381–397. https://doi.org/10.1007/s11191-021-00310-2

Temel, H. (2023). Investigation of the Relationship Between Elementary School Mathematics Teacher Candidates’ Attitudes Towards STEM Education and Their Proficiency Perceptions of 21st Century Skills. Uludağ Üniversitesi Eğitim Fakültesi Dergisi, 36(1), 150–173. https://doi.org/10.19171/uefad.1147025

Tsai, C.-A., Song, M.-Y. W., Lo, Y.-F., & Lo, C.-C. (2023). Design thinking with constructivist learning increases the learning motivation and wicked problem-solving capability—An empirical research in Taiwan. Thinking Skills and Creativity, 50, 101385. https://doi.org/10.1016/j.tsc.2023.101385

Unfried, A., Faber, M., Stanhope, D. S., & Wiebe, E. (2015). The development and validation of a measure of student attitudes toward science, technology, engineering, and math (S-STEM). Journal of Psychoeducational Assessment, 33(7), 622–639. https://doi.org/10.1177/0734282915571160

Van Aalderen-Smeets, S. I., & Walma Van Der Molen, J. H. (2018). Modeling the relation between students’ implicit beliefs about their abilities and their educational STEM choices. International Journal of Technology and Design Education, 28(1), 1–27. https://doi.org/10.1007/s10798-016-9387-7

Wahono, B., & Chang, C.-Y. (2019). Development and Validation of a Survey Instrument (AKA) towards Attitude, Knowledge and Application of STEM. Journal of Baltic Science Education, 18(1), 63–76. https://doi.org/10.33225/jbse/19.18.63

Wang, N., Tan, A.-L., Zhou, X., Liu, K., Zeng, F., & Xiang, J. (2023). Gender differences in high school students’ interest in STEM careers: A multi-group comparison based on structural equation model. International Journal of STEM Education, 10(1), 59. https://doi.org/10.1186/s40594-023-00443-6

Wang, X. (2013). Why Students Choose STEM Majors: Motivation, High School Learning, and Postsecondary Context of Support. American Educational Research Journal, 50(5), 1081–1121. https://doi.org/10.3102/0002831213488622

Wicaksono, A. G. C., & Korom, E. (2023). Attitudes towards science in higher education: Validation of questionnaire among science teacher candidates and engineering students in Indonesia. Heliyon, 9(9). https://doi.org/10.1016/j.heliyon.2023.e20023

Wilson, K. (2021). Exploring the challenges and enablers of implementing a STEM project-based learning programme in a diverse junior secondary context. International Journal of Science and Mathematics Education, 19(5), 881–897. https://doi.org/10.1007/s10763-020-10103-8

Xu, C., & Lastrapes, R. E. (2022). Impact of STEM sense of belonging on career interest: The role of STEM attitudes. Journal of Career Development, 49(6), 1215–1229. https://doi.org/10.1177/08948453211033025

Yalçın, V., & Erden, Ş. (2021). The Effect of STEM Activities Prepared According to the Design Thinking Model on Preschool Children’s Creativity and Problem-Solving Skills. Thinking Skills and Creativity, 100864. https://doi.org/10.1016/j.tsc.2021.100864

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