Attitudes in didactic change: design and validation of a questionnaire of Primary Education teachers’ attitudes toward the teaching of the Nature of Science and Technology
Loading...
Official URL
Full text at PDC
Publication date
2026
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Frontiers
Citation
García-Marigómez C, Ortega-Quevedo V and Gil-Puente C (2026) Attitudes in didactic change: design and validation of a questionnaire of Primary Education teachers’ attitudes toward the teaching of the Nature of Science and Technology. Front. Educ. 11:1748194. doi: 10.3389/feduc.2026.1748194
Abstract
Introduction: Neglecting the role of attitudes in didactic change is a serious obstacle to progressing toward the inclusion of the Nature of Science and Technology (NoST) in the classroom and achieving a scientific culture that enables the development of a critical and socially engaged citizenship capable of addressing contemporary societal challenges.
Method: For this reason, this study presents the design and validation of an assessment tool that allows attitudes to be collected in a holistic way, taking into account the cognitive, affective and conative components of trainee and practicing Primary School (PS) teachers toward the teaching of NoST. For this purpose, an instrumental-psychometric study was carried out. A sample of 210 subjects participated in the validation of the questionnaire.
Results: The statistical analyses of the scale show that it has an adequate content validity, an appropriate construct validity with a good fit to the theoretical model, and a high level of reliability. Furthermore, a first approximation to the description of the attitudinal profile indicates that thereis, in general, a positive attitude toward NoST teaching.
Discussion: It is concluded, on the one hand, that the instrument is optimal and adequate for assessing attitudes and, on the other hand, that teacher training should consider both the cognitive and affective factors that hinder the transformation of educational practices in the field of science teaching.
Description
Referencias bibliográficas:
• Acevedo, J. A. (2009). Conocimiento didáctico del contenido para la enseñanza de la naturaleza de la ciencia (I): El marco teórico. [Pedagogical content knowledge for teaching the nature of science (I): The theoretical framework]. Rev. Eureka Sobre Enseñanza Divulgación Ciencias 6, 21–46. doi: 10.25267/Rev_Eureka_ensen_divulg_ cienc.2009.v6.i1.02 Spanish
• Acevedo, J. A., and García-Carmona, A. (2016). Algo antiguo, algo nuevo, algo prestado’: Tendencias sobre la naturaleza de la ciencia en la educación científica. [’Something old, something new, something borrowed’: Trends on the nature of science in science education]. Revista Eureka Sobre Enseñanza Divulgación Ciencias 13, 3–19. doi: 10.25267/Rev_Eureka_ensen_divulg_cienc.2016.v13.i1.02 Spanish
• Acevedo, J. A., García-Carmona, A., and Aragón-Méndez, M. M. (2016). Un caso de historia de la ciencia para aprender naturaleza de la ciencia: Semmelweis y la fiebre puerperal. [A case study in the history of science to learn about the nature of science: Semmelweis and puerperal fever]. Rev. Eureka Sobre Enseñanza Divulgación Ciencias 13, 408–422. doi: 10.25267/Rev_Eureka_ensen_divulg_cienc.2016.v13.i1.02 Spanish
• Aguirregabiria, F., and García-Olalla, A. (2022). Primary school teacher in training and the natural sciences: Previous experience, self-perception and training needs. Góndola 17, 268–285. doi: 10.14483/23464712.17374
• Aikenhead, G., and Ryan, A. G. (1992). The development of a new instrument: ‘Views on Science—Technology—Society’ (VOSTS). Sci. Educ. 76, 477–491. doi: 10. 1002/sce.3730760503
• Ajzen, I., and Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour. Englewood Clis, NJ: Prentice Hall.
• American Association for the Advancement of Science [AAAS] (2009). Benchmarks—project 2061. Washington, DC: AAAS.
• Aragón Núñez, , L., Jiménez Tenorio, N., Vicente Martorell, J. J., and Eugenio, M. (2021). ¿Progresan las concepciones sobre la ciencia de futuros maestros/as tras la implementación de propuestas constructivistas para la alfabetización científica?. [Do future teachers’ conceptions of science improve after the implementation of constructivist proposals for scientific literacy?] Góndola 16, 78–95. doi: 10.14483/ 23464712.15589 Spanish
• Ato, M., López, J. J., and Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. [A classification system for research designs in psychology]. Anal. Psicol. 29, 1038–1059. doi: 10.6018/analesps.29.3.178511 Spanish
• Avraamidou, L. (2014). Studying science teacher identity: Current insights and future research directions. Stud. Sci. Educ. 50, 145–179. doi: 10.1080/03057267.2014. 937171
• Barnes, C., Angle, J., and Montgomery, D. (2015). Teachers describe epistemologies of science instruction through Q methodology. School Sci. Mathemat. 115, 141–150. doi: 10.1111/ssm.12111
• Bentler, P. M. (1990). Comparative fit indicesin structural models. Psychol. Bull. 107, 238–246. doi: 10.1037/0033-2909.107.2.238
• Bisquerra, R., and Pérez, N. (2007). Las competencias emocionales. [Emotional skills]. Educ. XXI 10, 61–82. doi: 10.5944/educxx1.1.10.297 Spanish
• Bogdan, R., and Meneses, J. A. (2021). “¿Cómo se conceptualiza las actitudes hacia la ciencia en los instrumentos de la última década?. [How are attitudes towards science conceptualized in the instruments of the last decade?],” en Proceedings of the 29 Encuentros de Didáctica de las Ciencias Experimentales, (Córdoba: Universidad de Córdoba y APICE), 632–638. Spanish
• Browne, M. W., and Cudeck, R. (1993). “Alternative ways of assessing model fit,” en Testing Structural Equation Models, editado por K. A. Bollen y J. S. Long (Newbury Park, CA: Sage), 136–162.
• Byrne, B. M. (2001). Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. Intern. J. Testing 1, 55–86. doi: 10.1207/s15327574ijt0101_4
• Cadena-Nogales, P., Solaz-Portolés, J., Echegoyen-Sanz, Y., and Sanjose-López, V. (2022). Level of acceptance of epistemically unwarranted beliefs in pre-service primary school teachers: Influence of cognitive style, academic level and gender. J. Baltic Sci. Educ. 21, 398–407. doi: 10.33225/jbse/22.21.398
• Campo-Arias, A., and Oviedo, H. C. (2008). Propiedades psicométricas de una escala: La consistencia interna. [Psychometric properties of a scale: Internal consistency]. Rev. Salud Pública 10, 831–839. doi: 10.1590/S0124-00642008000500015 Spanish
• Carlson, J., and Daehler, K. R. (2019). “The refine consensus model of pedagogical content knowledge in science education,” en Repositioning pedagogical content knowledge in teachers’ knowledge for teaching science, editado por A. Hume, R. Cooper, y A. Borowski (Cham: Springer), 77–92.
• Chevallard, Y. (1985). Le transposition didactique: Du savoir savant au savoir enseigné. París: La Pensée Sauvage. Traducción castellana (1991). La transposición didáctica. Del saber sabio al saber enseñado. [The didactic transposition: From scholarly knowledge to taught knowledge. Paris: The Wild Thought. Spanish translation (1991). The didactic transposition. From wise knowledge to taught knowledge]. Buenos Aires: Aique. Spanish
• Cho, G., Hwang, H., Sarstedt, M., Ringle, and ChM. (2020). Cuto criteria for overall model fit indexes in generalized structured component analysis. J. Market. Anal. 8, 189–202. doi: 10.1057/s41270-020-00089-1
• Clerici, R. (2008). Knowledge and attitudes of future schoolteachers in the scientificmathematical sphere: Some evidences for Italy. Educ. Stud. 34, 277–287. doi: 10.1080/ 03055690802034369
• Day, C. (1999). Teachers as inquirer. En developing teachers: The challenges of lifelong learning. London: Falmer Press, 22–47.
• De Pro, A., de Pro, C., and Cantó, J. (2022). Cinco problemas en la formación de maestros y maestras para enseñar ciencias en Educación Primaria. Rev. Int. Formación Prof. 97, 185–202. doi: 10.47553/rifop.v97i36.1.92510
• Erduran, S., and Dagher, R. F. (2014). Reconceptualizing the nature of science for science education. Dordrecht: Springer.
• Escobar-Pérez, J., and Cuervo-Martínez, A. (2008). Validez de contenido y juicio de expertos: Una aproximación a su utilización. [Content validity and expert judgment: An approach to its use]. Avances Med. 6, 27–36. Spanish
• Fernández-Abascal, E., Martín, M., and Domínguez, J. (2001). Procesos psicológicos. [psychological processes]. Madrid: Ediciones Pirámide. Spanish
• Fueyo, A., Hevia, I., and García, S. (2015). Haciendo educación para el desarrollo: Guía didáctica. [Doing education for development: A teaching guide]. Oviedo: Universidad de Oviedo. Spanish
• Furió, C., and Carnicer, J. (2002). El desarrollo profesional del profesor de ciencias mediante tutorías de grupos cooperativos. Estudio de ocho casos. [The professional development of science teachers through cooperative group tutoring: A study of eight cases]. Enseñanza Ciencias 20, 47–73. doi: 10.5565/rev/ensciencias.3979 Spanish
• Gallucci, M., and Jentschke, S. (2021). Semlj: Jamovi SEM Analysis. San Francisco, CA: github.
• García-Marigómez, C., Ortega-Quevedo, V., and Gil Puente, C. (2023). Teaching and learning geology as a way to develop thinking and encourage positive attitudes towards science. Reidocrea 12, 242–260. doi: 10.30827/Digibug.82318
• García-Marigómez, C., Ortega-Quevedo, V., and Gil Puente, C. (2026). Systematised review of know-how in teacher training: Science–Technology–Society teaching in the primary school classroom. Educ. Sci. 16:112. doi: 10.3390/educsci16010112
• Gardner, P. L. (1975). Attitudes to science: A review. Stud. Sci. Educ. 2, 1–41. doi: 10.1080/03057267508559818
• Gess-Newsome, J. (2015). “A model of teacher professional knowledge and growth: Reconceptualizing pedagogical content knowledge,” in Reconceptualizing Pedagogical Content Knowledge in Science Education, ed. A. F. Orange (New York, NY: Routledge), 28–42.
• Goleman, D. (1996). La práctica de la inteligencia emocional. [The practice of emotional intelligence]. Barcelona: Paidós. Spanish
• Hernández-Sampieri, R., Fernández-Collado, C., and Baptista-Lucio, P. (2010). Metodología de la Investigación. [Research Methodology]. México: McGraw-Hill Interamericana. Spanish
• Hernández-Nieto, R. A. (2002). Contributions to statistical analysis. Mérida: Universidad de Los Andes.
• Hodson, D. (1988). Toward a philosophically more valid science curriculum. Sci. Educ. 72, 19–40. doi: 10.1002/sce.3730720103
• Hogg, M. A., and Vaughan, G. M. (1995). Psicología social. [Social psychology]. Madrid: Editorial Médica Panamericana. [Spanish]
• Hu, L. T., and Bentler, P. M. (1999). Cuto criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equat. Model. A Multidiscipl. J. 6, 1–55. doi: 10.1080/1070551990954 0118
• Irzik, G., and Nola, R. (2014). “New directions for nature of science research,” en International handbook of research in history, philosophy and science teaching, editado por M. Matthews (Dordrecht: Springer), 999–1021.
• Kaya, O., Yager, R., and Dogan, A. (2009). Changes in attitudes towards sciencetechnology-society of pre-service science teachers. Res. Sci. Educ. 39, 257–279. doi: 10.1007/s11165-008-9084-y
• Kim, M., and Tan, A. (2011). Rethinking diÿculties of teaching inquiry-based practical work: Stories from elementary pre-service teachers. Intern. J. Sci. Educ. 33, 465–486. doi: 10.1080/09500691003639913
• Lai, K. (2020). Fit dierence between nonnested models given categorical data: Measures and estimation. Struct. Equat. Model. A Multidiscipl. J. 28, 99–120. doi: 10.1080/10705511.2020.1763802
• Lederman, N. G., Abd-El-Khalick, F., Bell, R. L., and Schwartz, R. S. (2002). Views of nature of science questionnaire: Towards valid and meaningful assessment of learners’ conceptions of nature of science. J. Res. Sci. Teach. 39, 497–521. doi: 10.1002/tea.10034
• Loughran, J., Mulhall, P., and Berry, A. (2004). In search of pedagogical content knowledge in science: Developing ways of articulating and documenting professional practice. J. Res. Sci. Teach. 41, 370–391. doi: 10.1002/tea.20007
• Magnusson, S., Krajcik, J., and Borko, H. (1999). “Nature, sources, and development of pedagogical content knowledge for science teaching,” in Examining Pedagogical Content Knowledge: The Construct and its Implications for Science Education, eds J. Gess-Newsome and N. G. Lederman (Dordrecht: Springer), 95–132.
• Manassero Mas, M. A., and Vázquez, A. (2002). Instrumentos y métodos para la evaluación de las actitudes relacionadas con la ciencia, la tecnología y la sociedad. [Instruments and methods for the assessment of attitudes related to science, technology and society]. Enseñanza Ciencias: Rev. Invest. Exp. Didácticas 20, 15–27. doi: 10.5565/rev/ensciencias.3977 Spanish
• Manassero, M. A., Vázquez, A., and Acevedo, J. A. (2003). Cuestionario de opiniones sobre ciencia, tecnología y sociedad (COCTS). [Science, Technology and Society Opinions Questionnaire (COCTS)]. Princeton, NJ: Educational Testing Service. Spanish
• Manassero-Mas, M. A., and Vázquez, A. (2019). Conceptualización y taxonomía para estructurar los conocimientos acerca de la ciencia [Conceptualization and taxonomy to structure the knowledge about science]. Rev. Eureka Sobre Enseñanza Divulgación Ciencias 16, 3104–3117. doi: 10.25267/Rev_Eureka_ensen_divulg_cienc. 2019.v16.i3.3104 Spanish
• Mansour, N. (2013). Consistencies and inconsistencies between science teachers’ beliefs and practices. Intern. J. Sci. Educ. 35, 1230–1275. doi: 10.1080/09500693.2012. 743196
• Martín-Baró, I. (1983). Acción e ideología: Psicología social desde Centroamérica [Action and ideology. Social psychology from Central America]. San Salvador: UCA Editores. Spanish
• Martínez-Borreguero, G., Naranjo-Correa, F., and Mateos-Núñez, M. (2022). Cognitive and emotional development of STEM skills in primary school teacher training through practical work. Educ. Sci. 12:470. doi: 10.3390/educsci12070470
• Mateos Núñez, M., and Martínez Borreguero, M. G. (2021). Diseño y validación de metodologías didácticas aplicadas en el aula de educación primaria para mejorar el dominio cognitivo y emocional en la enseñanza/aprendizaje de competencias STEM. [Design and validation of teaching methodologies applied in the primary education classroom to improve cognitive and emotional mastery in the teaching/learning of STEM skills]. Tesis doctoral, Extremadura: Universidad de Extremadura. Spanish
• Matthews, M. (2012).“Changing the focus: From nature ofscience (NOS) to features ofscience (FOS),” en Advances in nature of science research, ed. M. S. Khine (Dordrecht: Springer), 3–26.
• Mayer, J. D., Salovey, P., and Caruso, D. (2000). Models of emotional intelligence. Cambridge, MA: Cambridge University Press.
• McDonald, R. P. (1999). Test Theory: A Unified Treatment. Mahwah, NJ: Lawrence Erlbaum Associates.
• McComas, W. F. (2002). The nature of science in science education: Rationales and strategies. Dordrecht: Kluwer Academic Publishers.
• Mellado, V. (2003). Cambio didáctico del profesorado de ciencias experimentales y filosofía de la ciencia. [Didactic change of the teaching sta of experimental sciences and philosophy of science]. Enseñanza Ciencias 21, 343–358. doi: 10.5565/ rev/ensciencias.3913 Spanish
• Morales, P. (2000). Medición de actitudes en psicología y educación. [Measuring attitudes in psychology and education]. Madrid: Universidad Pontificia de Comillas. Spanish
• Murphy, C., and Smith, G. (2012). The impact of a curriculum course on pre-service primary teachers’ science content knowledge and attitudes towards teaching science. Irish Educ. Stud. 31, 77–95. doi: 10.1080/03323315.2011.634061
• National Research Council (1996). National science education standards. Washington, DC: National Academy Press.
• ONU (2015). Transformar nuestro mundo: La Agenda 2030 para el desarrollo sostenible. [Transforming our world: The 2030 Agenda for Sustainable Development]. New York, NY: ONU. Spanish
• Osborne, J., Collins, S., Ratclie, M., Millar, R., and Duschl, R. (2003). What ‘ideas-about science’ should be taught in school science? A Delphi study of the expert community. J. Res. Sci. Teach. 40, 692–720. doi: 10.1002/tea. 10105
• Ozturk-Akar, E., and Dogan, D. (2013). Turkish pre-service teachers’ views of Science-Technology-Society: Influence of a history ofscience course. J. Baltic Sci. Educ. 12, 793–802. doi: 10.33225/jbse/13.12.793
• Pérez-Foguet, A., and Lazzarini, B. (2019). Continuing professional education in engineering faculties: Transversal integration of sustainable human development in basic engineering sciences courses. J. Cleaner Product. 218, 772–781. doi: 10.1016/j. jclepro.2019.02.054
• Rivera Maulucci, M. S. (2013). Emotions and positional identity in becoming a social justice science teacher: Nicole’s story. J. Res. Sci. Teach. 50, 453–478. doi: 10.1002/tea. 21081
• Roberts, S. J. (2014). ENGage: The use of space and pixel art for increasing primary school children’s interest in science, technology, engineering and mathematics. Acta Astronautica 93, 34–44. doi: 10.1016/j.actaastro.2013.06.013
• Rosseel, L., Speelman, D., and Geeraerts, D. (2019). Measuring language attitudes in context: Exploring the potential of the personalized implicit association test. Lang. Soc. 48, 429–461. doi: 10.1017/S0047404519000198
• Rubba, P. A., Schoneweg-Bradford, C. S., and Harkness, W. L. (1996). A new scoring procedure for the views on science-technology-society instrument. Intern. J. Sci. Educ. 18, 387–400. doi: 10.1080/0950069960180401
• Sanmartí, N. (2001). Enseñar a enseñar ciencias en secundaria: Un reto muy completo. [Teaching how to teach science in secondary school: A very comprehensive challenge]. Rev. Interuniversitaria Formación Profesorado 40, 31–48. Spanish
• Sarabia, B. (1992). “El aprendizaje y la enseñanza de las actitudes. [Learning and teaching attitudes],” en Los contenidos de la reforma. Enseñanza y aprendizaje de conceptos, procedimientos y actitudes, editado por C. Coll, J. I. Pozo, B. Sarabia, y E. Valls (Madrid: Aula XXI y Santillana), 133–198. Spanish
• Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educ. Res. 15, 4–14. doi: 10.3102/0013189X015002004
• Talavera, M., Mayoral, O., Hurtado, A., and Martín-Baena, D. (2018). Motivación docente y actitud hacia las ciencias: Influencia de las emociones y factores de género. [Teacher motivation and attitude towards science: Influence of emotions and gender factors]. Rev. Electrón. Enseñanza Ciencias 17, 461–475. Spanish
• Tenreiro-Vieira, C., and Vieira, R. M. (2021). Promover o pensamento crítico e criativo no ensino das ciências: Propostas didáticas e seus contributos em alunos portugueses. [Promoting critical and creative thinking in science education: Teaching proposals and their contributions to Portuguese students.]. IENCI 26, 70–84. doi: 10.22600/1518-8795.ienci2021v26n1p70 Spanish
• Thompson, K. (2016). Developing education v. education for development. Ann. Am. Acad. Political Soc. Sci. 424, 16–28. doi: 10.1177/000271627642400104
• Tyler-Wood, T., Knezek, G., and Christensen, R. (2010). Instruments for assessing interest in STEM content and careers. J. Technol. Teach. Educ. 18, 341–363.
• Urbán, F. (1980). Un método de investigación de origen psicolingüístico: El diferencial semántico. [A research method of psycholinguistic origin: The semantic dierential]. Cauce: Rev. Intern. Filología Comun. Didácticas 3, 47–70. Spanish
• Vázquez, A., and Manassero, M. A. (1995). Actitudes relacionadas con la ciencia: Una revisión conceptual. Enseñanza de las Cienc. Rev. Invest. Exp. Didácticas 13, 337–346. doi: 10.5565/rev/ensciencias.4254
• Vázquez, A., and Manassero Mas, M. A. (1997). Una evaluación de las actitudes relacionadas con la ciencia. [An assessment of attitudes related to science]. Enseñanza Ciencias 15, 199–213. doi: 10.5565/rev/ensciencias.4176 Spanish
• Vázquez Alonso, Á., and Manassero Mas, M. A. (2018). El conocimiento epistémico en la evaluación de la competencia científica en PISA 2015. [Epistemic knowledge in the assessment of scientific competence in PISA 2015]. Rev. Educ. 380, 103–128. doi: 10.4438/1988-592X-RE-2017-380-374 Spanish
• Ventura-León, J. L., and Caycho-Rodríguez, T. (2017). El coeficiente Omega: Un método alternativo para la estimación de la confiabilidad. [The Omega coeÿcient: An alternative method for estimating reliability]. Rev. Latinoamericana Ciencias Soc. Niñez Juventud 15, 625–627. Spanish
• Villafañe, S. M., and Lewis, J. E. (2016). Exploring a measure of science attitude for dierent groups of students enrolled in introductory college chemistry. Chem. Educ. Res. Practice 17, 731–742. doi: 10.1039/c5rp00185d
• Wagner, T. (2014). The global achievement gap: Why even our best schools don’t teach the new survival skills our children need—and what we can do about it. New York, NY: Basic Books.
• Walag, A., Fajardo, M., Bacarrisas, P., and Guimary, F. (2022). A canonical correlation analysis of filipino science teachers’ scientific literacy and science teaching eÿcacy. Intern. J. Instruct. 15, 249–266. doi: 10.29333/iji.2022.15314a
• Wenger, E. (1998). Communities of Practice: Learning, Meaning, and Identity. Cambridge, MA: Cambridge University Press.
• West, S. G., Taylor, A. B., and Wu, W. (2012). “Model fit and model selection in structural equation modeling,” in Handbook of Structural Equation Modeling, ed. R. H. Hoyle (New York, NY: Guilford), 209–231.
• Xia, Y. (2016). Investigating the Chi-square Based Model-Fit Indexes for WLSMV and ULSMV Estimators. Dissertation, Tallahassee, FL: Florida State University.
• Xia, Y., and Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behav. Res. Methods 51, 409–428. doi: 10.3758/s13428-018-1055-2













