Systematised Review of Know-How in Teacher Training: Science–Technology–Society Teaching in the Primary School Classroom
Abstract
1. Introduction
1.1. The Nature of Science and Technology to Address the Simplistic and Negative Vision
1.2. The Union of Reason and Emotion to Promote the Didactic Change
1.3. Purpose of the Study
- (1)
- How is the scientific literature on the attitudes of primary school teachers towards teaching the nature of science and technology structured and organised?
- (2)
- What aspects related to attitudes are predominantly addressed in the literature, and what problems are detected?
- (3)
- What research gaps and future directions emerge from the existing body of knowledge in this field?
2. Method
2.1. Sample
Evidence Collection and Evaluation Procedure
2.2. Data Analysis Procedure
3. Results
3.1. Results of the Bibliometric Analysis
3.2. Results of the Documentary Analysis
3.2.1. Approaches and Key Concepts
3.2.2. Discussions and Problems
3.2.3. Research Gaps and Opportunities
4. Discussion and Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| STS | Science–Technology–Society |
| CT | Critical Thinking |
| NOS | Nature of Science |
| GCE | Global Citizenship Education |
| ESD | Education for Sustainable Development |
| WOS | Web of Science |
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| Author and Year | Country | Paradigm | Design | Collection Technique | Attitude Component and Object |
|---|---|---|---|---|---|
| (Aragón-Núñez et al., 2021) | Spain | Quantitative. | Descriptive, correlational and predictive | Questionnaire (Likert scale) | Cognitive component (pedagogical and scientific beliefs towards the image of science, its learning and its teaching) |
| (Callejas-Restrepo & Vázquez Alonso, 2009) | Colombia | Quantitative. | Descriptive, comparative and predictive | Multiple choice questionnaire (COCTS). | Cognitive component (Views towards STS issues) |
| (Delgado Iglesias, 2015) | Spain | Quantitative. | Descriptive | Questionnaire (Likert scale) | Cognitive component (opinion on science and scientific knowledge) |
| (Mateos Núñez & Martínez Borreguero, 2021) | Spain | Quantitative | Descriptive and inferencial | Questionnaire | Cognitive component (beliefs about one’s own competence and beliefs about the usefulness of science for students) Affective component (emotions towards the areas of knowledge and science education) |
| (Clerici, 2008) | Italy | Quantitative. | Descriptive, correlational and comparative | Knowledge level tests and a self-report questionnaire. | Cognitive component (self-efficacy to teach) Affective component (affections towards disciplines) |
| (Murphy & Smith, 2012) | Irleland | Quantitative. | Descriptive | Questionnaire (Likert scale and open questions) | Cognitive component (beliefs towards the discipline and its teaching capabilities). Affective component (liking) |
| (Barnes et al., 2015) | Oklahoma (USA) | Quantitative. | Correlational and factorial | Form Q | Cognitive and conative component (beliefs about the nature of science and intention to teach it) |
| (Aguirregabiria & Garcia-Olalla, 2022) | Spain | Quantitative. | Descriptive | Questionnaire (Likert scale, dichotomous questions and open questions). | Cognitive component (beliefs about the usefulness of science, perception of the importance of science in the curriculum, perception of their ability). Affective component (liking for science topics) |
| (Cadena-Nogales et al., 2022) | Spain | Quantitative. | Descriptive, correlational and comparative | Questionnaire | Cognitive component (opinions/beliefs about unjustified epistemic knowledge). |
| (Fernández-Carro et al., 2023) | Spain | Quantitative. | Descriptive and explorative | Survey. | Cognitive component (beliefs in pseudoscience and superstition) |
| (Fuertes-Prieto et al., 2020) | Spain | Quantitative. | Descriptive and comparative | Survey and questionnaire | Cognitive component (beliefs in pseudoscience and superstition) |
| (Esteban et al., 2019) | Spain | Quantitative. | Descriptive and correlational | Questionnaire | Affective component (negative and positive emotions experienced in an STS learning experience) |
| (Kartal et al., 2019) | Turkey | Quantitative. | Descriptive and comparative | Questionnaire (Likert scale) | Cognitive component (self-efficacy beliefs in NDC teaching). Cognitive component (beliefs about the NDC curriculum, about teachers and the learning environment, about lessons and about how science is learned). |
| (Kaya et al., 2009) | Turkey | Mixt | Descriptive and comparative | Questionnaire (Likert scale) and interview | Cognitive component (perceived importance of STS issues). Affective component (interest in STS issues and the science teacher’s interest in STS topics). |
| (Kim & Tan, 2011) | Korea | Qualitative | Interpretative | Reflective writing and group discussions. | Cognitive component (views and beliefs about science education) |
| (Malandrakis, 2018) | Greece | Mixt | Comparative | Interview and questionnaire (Likert scale and factor ranking) | Cognitive component (efficacy beliefs and confidence) |
| (Mansour, 2013) | Egypt | Qualitative | Comparative case study. | Semi-structured interview, classroom observations, and lesson plans. | Cognitive component (beliefs about science education) |
| (Martínez-Borreguero et al., 2022) | Spain | Quantitative. | Comparative | Likert scale (emotional variables and self-efficacy). Multiple-choice questionnaire and open-ended questions (knowledge). | Cognitive component (self-efficacy beliefs). Affective component (emotions towards STEM areas) |
| (Ozturk-Akar & Dogan, 2013) | Turkey | Quantitative. | Descriptive and inferential | Multiple choice questionnaire (VOSTS). | Cognitive component (Views towards STS issues) |
| (Tosun & Ozturk, 2020) | Turkey | Quantitative. | Correlational and comparative | Survey. | Cognitive component (beliefs about competence in science teaching—self-efficacy) |
| (Vazquez-Alonso et al., 2013) | Spain | Quantitative. | Descriptive, comparative and predictive | Multiple choice questionnaire (COCTS) | Cognitive component (Views towards STS issues) |
| (Walag et al., 2022) | Philippines | Quantitative. | Explorative and correlational | Questionnaire | Cognitive component (self-efficacy beliefs) |
| (Ward et al., 2020) | New Zeland | Qualitative | Case studies | Interview | Cognitive component (self-efficacy beliefs) |
| (Yalvac et al., 2007) | Turkey | Quantitative. | Descriptive | Multiple choice questionnaire (VOSTS) | Cognitive component (Views towards STS issues) |
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García-Marigómez, C.; Ortega-Quevedo, V.; Santamaría-Cárdaba, N.; Gil-Puente, C. Systematised Review of Know-How in Teacher Training: Science–Technology–Society Teaching in the Primary School Classroom. Educ. Sci. 2026, 16, 112. https://doi.org/10.3390/educsci16010112
García-Marigómez C, Ortega-Quevedo V, Santamaría-Cárdaba N, Gil-Puente C. Systematised Review of Know-How in Teacher Training: Science–Technology–Society Teaching in the Primary School Classroom. Education Sciences. 2026; 16(1):112. https://doi.org/10.3390/educsci16010112
Chicago/Turabian StyleGarcía-Marigómez, Carmela, Vanessa Ortega-Quevedo, Noelia Santamaría-Cárdaba, and Cristina Gil-Puente. 2026. "Systematised Review of Know-How in Teacher Training: Science–Technology–Society Teaching in the Primary School Classroom" Education Sciences 16, no. 1: 112. https://doi.org/10.3390/educsci16010112
APA StyleGarcía-Marigómez, C., Ortega-Quevedo, V., Santamaría-Cárdaba, N., & Gil-Puente, C. (2026). Systematised Review of Know-How in Teacher Training: Science–Technology–Society Teaching in the Primary School Classroom. Education Sciences, 16(1), 112. https://doi.org/10.3390/educsci16010112

