Synthesizing Inquiry and STEM for Junior High School: Content Validity and Theoretical Framework of a New Instructional Learning Model

Authors

  • Dwikie Mahendra Sani
  • Sulistyo Saputro
  • Sukarmin Sukarmin
  • Bowo Sugiharto

Keywords:

inquiry; inquiry STEM literacy; validity

Abstract

This research aimed to describe the development and validation?of the inquiry STEM literacy (ISL) model, which embedded inquiry learning within the framework for Junior High School students. ISL model combines scientific inquiry, engineering design, and technological application with?the five syntactic stages of Identification, Exploration, Elaboration, Making Decision, and Applied Communication to enable critical and design thinking, as well as real-world problem-solving skills in socio-scientific issues such as renewable energy education. The face validity of the model was tested using two methods, namely focus?group discussions (FGD) with experts and quantitative measures in quantity (CVR) and quality (Aiken’s V index). These indicated high content-validity values and expert consensus on relevance, clarity, and instructional impact of the model. The results showed that the model promoted metacognitive analysis and converged with critical?thinking dispositions indicators. This supported formative and summative assessment of critical thinking. ISL model?provided a robust and theory-based pedagogical vehicle for teaching students to confront complex STEM issues, integrating multiple forms of rigorous scientific inquiry with applied engineering and technology literacy. The results established strong content validity and theoretical soundness as an innovative pedagogical framework for STEM education in junior high schools, establishing the necessary groundwork for future empirical classroom testing.

https://doi.org/10.26803/ijlter.25.4.5

References

Abdurrahman, A., Saregar, A., & Umam, R. (2018). The effect of feedback as soft scaffolding on ongoing assessment toward the quantum physics concept mastery of the prospective physics teachers. Jurnal Pendidikan IPA Indonesia. https://doi.org/10.15294/jpii.v6i2.7239

Achkovska Leshkovska, E., & Miovska Spaseva, S. (2016). John Dewey’S educational theory and educational implications of Howard Gardner’s multiple intelligences theory. International Journal of Cognitive Research in Science, Engineering and Education. https://doi.org/10.5937/IJCRSEE1602057A

Aiken, L. R. (1985). Three Coefficients for Analyzing The Reliability and Validity of Ratings. Educational and Psychological Measurement 45(1), 131–142.

Akuma, F. V, & Callaghan, R. (2018). A systematic review characterizing and clarifying intrinsic teaching challenges linked to inquiry-based practical work. Journal of Research in Science Teaching, 56(5), 619–648. https://doi.org/10.1002/tea.21516

Antonio, R. P., & Prudente, M. S. (2023). Effects of Inquiry-Based Approaches on Students Higher-Order Thinking Skills in Science: A Meta-Analysis. International Journal of Education in Mathematics, Science and Technology, 12(1), 251–281. https://doi.org/10.46328/ijemst.3216

Arnold, J. C., Mayer, J., Boone, W. J., & Kremer, K. (2018). Assessment of Competencies in Scientific Inquiry Through the Application of Rasch Measurement Techniques. Education Sciences, 8(4), 184. https://doi.org/10.3390/educsci8040184

Auld, E., & Morris, P. (2019). Science by streetlight and the OECD is measure of global competence: A new yardstick for internationalisation? Policy Futures in Education, 17(6), 677–698. https://doi.org/10.1177/1478210318819246

Ayeni, O., Chisom, O., Adewusi, O., Osawaru, B., & Hamad, N. (2024). Enhancing STEM education through emotional intelligence and counseling techniques. World Journal of Advanced Research and Reviews, 21(2), 903–916. https://doi.org/10.30574/wjarr.2024.21.2.0503

Bicer, A., Capraro, M. M., Barroso, L. R., Nite, S. B., Capraro, R. M., & Lee, Y. (2017). Moving from STEM to STEAM: The effects of informal STEM learning on students creativity and problem solving skills with 3D printing. 1–6. https://doi.org/10.1109/fie.2017.8190545

Borg, W. ., & Gall, M. . (1983). Educational Research an Introduction fourth edition. Longman Inc, 1(1).

Brush, K. E., Meland, E., Bailey, R., Jones, S. M., Raisch, N., & Nelson, B. (2021). Social and Emotional Learning: From Conceptualization to Practical Application in a Global Context BT - Social and Emotional Learning (pp. 43–71). Springer. https://doi.org/10.1007/978-3-030-85214-6_3

Bybee, R., McCrae, B., & Laurie, R. (2009). PISA 2006: An assessment of scientific literacy. Journal of Research in Science Teaching, 46(8), 865–883. https://doi.org/10.1002/tea.20333

Chowning, J. T., Griswold, J. C., Kovarik, D. N., & Collins, L. J. (2012). Fostering Critical Thinking, Reasoning, and Argumentation Skills through Bioethics Education. PLoS ONE, 7(5), e36791. https://doi.org/10.1371/journal.pone.0036791

Clark, R. M., Guldiken, R., Kaw, A., & Uyanik, O. (2024). The case for metacognition support in a flipped STEM course. International Journal of Mechanical Engineering Education, 53(3), 720–748. https://doi.org/10.1177/03064190241255113

Cooper, R., & Heaverlo, C. (2013). Problem Solving And Creativity And Design: What Influence Do They Have On Girls Interest In STEM Subject Areas? American Journal of Engineering Education (AJEE), 4(1), 27–38. https://doi.org/10.19030/ajee.v4i1.7856

Feng, X., Sundman, J., Aarnio, H., Taka, M., Keskinen, M., & Varis, O. (2024). Towards transformative learning: students disorienting dilemmas and coping strategies in interdisciplinary problem-based learning. European Journal of Engineering Education, 50(2), 428–450. https://doi.org/10.1080/03043797.2024.2424197

Gan, Y., Ji, Y., Jiang, S., Liu, X., Feng, Z., Li, Y., & Liu, Y. (2021). Integrating aesthetic and emotional preferences in social robot design: An affective design approach with Kansei Engineering and Deep Convolutional Generative Adversarial Network. International Journal of Industrial Ergonomics, 83. https://doi.org/10.1016/j.ergon.2021.103128

Gavrilas, L., Papanikolaou, M. S., & Kotsis, K. T. (2024). Exploring electricity in early childhood education: A 5E-based learning approach. Science Activities, 62(1), 53–94. https://doi.org/10.1080/00368121.2024.2406208

Holmes, K., Walker, M., Mackenzie, E., & Berger, N. (2021). Linking K-12 STEM Pedagogy to Local Contexts: A Scoping Review of Benefits and Limitations. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.693808

Indarta, Y., Ranuharja, F., Rinaldi, D., Ambiyar, A., Fadhillah, F., Torres-Toukoumidis, A., Sagala, M. K., & Ayasrah, F. T. (2025). Transformation of Intelligence Technology Learning through the Inquiry-Scientific Problem Based Learning to Improve Critical Thinking Skills. Salud, Ciencia y Tecnologia, 5, 1242. https://doi.org/10.26294/saludcyt20251242

Jamil, M., Bibi, T., & Shahzadi, U. (2024). Critical Thinking Skills Development among Secondary School Students: An Analysis of Chemistry Textbook Grade X (2020). Research Journal for Societal Issues, 6(2), 1–11. https://doi.org/10.56976/rjsi.v6i2.202

Jibililu, O. S. (2024). Evaluating the Impact of Instructional Materials on Social Studies Learning Outcomes in Senior High Schools of the Bono East Region of Ghana. Social Education Research, 380–397. https://doi.org/10.37256/ser.5220244881

Joseph, O., & Uzondu, N. (2024). Bridging the digital divide in STEM education: Strategies and best practices. Engineering Science & Technology Journal, 5(8), 2435–2453. https://doi.org/10.51594/estj.v5i8.1378

Kotsis, K. T. (2024). Integrating Inquiry-based Learning in the New Greek Primary Science Curriculum. European Journal of Education and Pedagogy, 5(6), 63–71. https://doi.org/10.24018/ejedu.2024.5.6.899

Loorbach, N., Peters, O., Steehouder, M., & Karreman, J. (2014). Validation of the Instructional Materials Motivation Survey (IMMS) in a self-directed instructional setting aimed at working with technology. British Journal of Educational Technology, 46(1), 204–218. https://doi.org/10.1111/bjet.12138

Maknun, J. (2020). Implementation of Guided Inquiry Learning Model to Improve Understanding Physics Concepts and Critical Thinking Skill of Vocational High School Students. International Education Studies, 13(6), 117. https://doi.org/10.5539/ies.v13n6p117

Martin, A. J., Liem, G. A. D., Mok, M. M. C., & Xu, J. (2012). Problem solving and immigrant student mathematics and science achievement: Multination findings from the Programme for International Student Assessment (PISA). Journal of Educational Psychology, 104(4), 1054–1073. https://doi.org/10.1037/a0029152

Maspul, K. A. (2024). Enhancing Project-Based Learning in STEM Education with Integrated Technology and Coding. Journal Intelligent Systems and Information Technology, 1(1), 16–24. https://doi.org/10.61971/jisit.v1i1.20

Milner-Bolotin, M. (2018). Evidence-Based Research in STEM Teacher Education: From Theory to Practice. Frontiers in Education, 3. https://doi.org/10.3389/feduc.2018.00092

Miri, B., David, B.-C., & Uri, Z. (2007). Purposely Teaching for the Promotion of Higher-order Thinking Skills: A Case of Critical Thinking. Research in Science Education, 37(4), 353–369. https://doi.org/10.1007/s11165-006-9029-2

Mohamad Hasim, S., Capraro, M. M., Capraro, R. M., Halim, L., & Rosli, R. (2022). STEM Professional Development Activities and Their Impact on Teacher Knowledge and Instructional Practices. Mathematics, 10(7), 1109. https://doi.org/10.3390/math10071109

Morse, J. M., Spiers, J., Olson, K., Mayan, M., & Barrett, M. (2002). Verification Strategies for Establishing Reliability and Validity in Qualitative Research. International Journal of Qualitative Methods, 1(2), 13–22. https://doi.org/10.1177/160940690200100202

Moss, P. A. (1992). Shifting Conceptions of Validity in Educational Measurement: Implications for Performance Assessment. Review of Educational Research, 62(3), 229–258. https://doi.org/10.3102/00346543062003229

Nisa, E. K., Jatmiko, B., Koestiari, T., & Habibbulloh, M. (2018). Effectiveness of guided inquiry learning model to improve students critical thinking skills at senior high school. Journal of Physics: Conference Series, 997(1), 12049. https://doi.org/10.1088/1742-6596/997/1/012049

Paethrangsi, N., Teekasap, S., Jandaboue, W., & Khiewpan, R. (2024). Empowering Students Autonomous Learning through Self-regulation, Metacognitive Strategies, and Collaborative Learning Environments. Journal of Liberal Arts RMUTT, 5(1), 69–79. https://doi.org/10.60101/jla.2024.5.1.4065

Pahrudin, A., Misbah, M., Alisia, G., Saregar, A., Asyhari, A., Anugrah, A., & Susilowati, N. E. (2021). The Effectiveness of Science, Technology, Engineering, and Mathematics-Inquiry Learning for 15-16 Years Old Students Based on K-13 Indonesian Curriculum: The Impact on the Critical Thinking Skills. European Journal of Educational Research, volume-10-(volume-10-issue-2-april-2021), 681–692. https://doi.org/10.12973/eu-jer.10.2.681

Prokop-Dorner, A., & Bala, M. M. (2024). Teaching methods for critical thinking in health education of children up to high school: A scoping review. PloS One, 19(7), e0307094. https://doi.org/10.1371/journal.pone.0307094

Pursitasari, I. D., Rachman, I., Suhardi, E., & Putra, A. P. (2020). Enhancement of Student’s Critical Thinking Skill through Science Context-based Inquiry Learning. Jurnal Pendidikan IPA Indonesia, 9(1), 97–105. https://doi.org/10.15294/jpii.v9i1.21884

Putri, R. S., & Wardoyo, C. (2018). The Development of Financial Accounting Learning Tools with Gall and Borg Model. Dinamika Pendidikan, 12(2), 86–97. https://doi.org/10.15294/dp.v12i2.13559

Retnawati, H. (2016). Proving content validity of self-regulated learning scale (The comparison of Aiken index and expanded Gregory index). REID (Research and Evaluation in Education), 2(2), 155–164. https://doi.org/10.21831/reid.v2i2.11029

Rini, E. F. S., & Aldila, F. T. (2023). Practicum Activity: Analysis of Science Process Skills and Students Critical Thinking Skills. Integrated Science Education Journal, 4(2), 54–61. https://doi.org/10.37251/isej.v4i2.322

Romero Jeldres, M., Diaz Costa, E., & Faouzi Nadim, T. (2023). A review of Lawshes method for calculating content validity in the social sciences. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1271335

Sandi-Urena, S., Cooper, M. M., & Stevens, R. H. (2010). Enhancement of Metacognition Use and Awareness by Means of a Collaborative Intervention. International Journal of Science Education, 33(3), 323–340. https://doi.org/10.1080/09500690903452922

Secundo, G., Passiante, G., Del Vecchio, P., & Schiuma, G. (2017). Activating entrepreneurial learning processes for transforming university students idea into entrepreneurial practices. International Journal of Entrepreneurial Behavior & Research, 23(3), 465–485. https://doi.org/10.1108/ijebr-12-2015-0315

Shrotryia, V. K., & Dhanda, U. (2019). Content Validity of Assessment Instrument for Employee Engagement. Sage Open, 9(1), 215824401882175. https://doi.org/10.1177/2158244018821751

Simeon, M. I., Yakob, N., & Samsudin, M. A. (2020). Effect of design thinking approach on students achievement in some selected physics concepts in the context of STEM learning. International Journal of Technology and Design Education, 32(1), 185–212. https://doi.org/10.1007/s10798-020-09601-1

Singh, M., Zheng, Z., & Sun, D. (2024). Enhancing university students learning performance in a metaverse-enabled immersive learning environment for STEM education: A community of inquiry approach. Future in Educational Research, 2(3), 288–309. https://doi.org/10.1002/fer3.56

Siverling, E. A., Mathis, C. A., Suazo-Flores, E., & Moore, T. J. (2019). Students use of STEM content in design justifications during engineering design-based STEM integration. School Science and Mathematics, 119(8), 457–474. https://doi.org/10.1111/ssm.12373

Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive Load Theory in Perspective BT - Cognitive Load Theory (pp. 237–242). Springer New York. https://doi.org/10.1007/978-1-4419-8126-4_18

Szabo, Z. K., Neag, R., Szabo, D., Guncaga, J., & Krtesi, P. (2020). Examples of Problem-Solving Strategies in Mathematics Education Supporting the Sustainability of 21st-Century Skills. Sustainability, 12(23), 10113. https://doi.org/10.3390/su122310113

Thibaut, L., & Ceuppens, S. (2018). Integrated STEM Education: A Systematic Review of Instructional Practices in Secondary Education. European Journal of STEM Education, 3(1). https://doi.org/10.20897/ejsteme/85525

Untoroseto, D., & Triayudi, A. (2023). Analysis of Blended Learning Development in Distance Learning in Variation of Borg & Gall and Addie Models. Journal La Multiapp, 4(6), 231–242. https://doi.org/10.37251/journallamultiapp.v4i6.973

Wenning, C. J. (2011). Level of Inquiry: Using Inquiry Spectrum Learning Sequences on Teach Science. Journal of Physics Teacher Eucation Online.

White, B. Y., & Frederiksen, J. R. (1998). Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students. Cognition and Instruction, 16(1), 3–118. https://doi.org/10.1207/s1532690xci1601_2

Yesnazar, A., & Kalzhanova, A. (2024). Methodological system for the formation of meta-subject skills of primary school students in the context of STEM education. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1340361

Zhang, L., Lin, Y., & Oon, P.-T. (2024). The implementation of engineering design-based STEM learning and its impact on primary students scientific creativity. Research in Science & Technological Education, 43(2), 568–588. https://doi.org/10.1080/02635143.2024.2309907

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Published

2026-04-30

How to Cite

Sani, D. M. ., Saputro, S. ., Sukarmin, S., & Sugiharto, . B. . (2026). Synthesizing Inquiry and STEM for Junior High School: Content Validity and Theoretical Framework of a New Instructional Learning Model. International Journal of Learning, Teaching and Educational Research, 25(4), 104–119. Retrieved from http://www.ijlter.net/index.php/ijlter/article/view/2795

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