The Influence of the Artificial Intelligence Integrated Project-Based Learning Model on Ability Critical Thinking of Elementary School Students

Authors

  • I Dewa Ketut Artha Saputra Ganesha University of Education Author
  • I Wayan Darmayoga Penatih Primary School No. 1 Author

Abstract

Critical thinking is a crucial 21st-century competency that needs to be cultivated starting at the elementary school level. However, instruction that remains focused on information delivery has not yet fully provided students with opportunities to analyze problems, evaluate information, draw conclusions, and provide evidence-based explanations. This study aims to analyze the impact of an Artificial Intelligence (AI)-integrated Project-Based Learning (PjBL) model on the critical thinking skills of elementary school students, describe the improvement in these skills before and after instruction, and measure the model's effectiveness using the N-gain score. The study employed a quantitative approach using a quasi-experimental method and a pretest-posttest control group design. The subjects consisted of 60 fifth-grade elementary school students divided into an experimental group and a control group, with 30 students in each. The experimental group received AI-integrated PjBL instruction over eight sessions, while the control group received conventional instruction. Data were collected using an essay test assessing critical thinking skills, covering indicators such as interpretation, analysis, evaluation, inference, and explanation. Data analysis involved descriptive statistics, N-gain calculation, normality and homogeneity tests, and an independent-samples t-test. The results showed that the experimental group's average critical thinking score rose from 48.33 to 79.17 (N-gain = 0.68), whereas the control group's score rose from 47.67 to 61.50 (N-gain = 0.33). The t-test results indicated a significant difference between the two groups (t = 8.74; p < 0.001). Thus, AI-integrated PjBL is more effective than conventional instruction in enhancing the critical thinking skills of elementary school students. Integrating AI supported by teacher guidance and information verification activities has the potential to strengthen students' processes of analysis, evaluation, problem-solving, and reflection.

Downloads

Download data is not yet available.

References

Almasri, F. (2024). Exploring the impact of artificial intelligence in teaching and learning of science: A systematic review of empirical research. Research in Science Education, 54, 977–997. https://doi.org/10.1007/s11165-024-10176-3

Aravantinos, S., Lavidas, K., Voulgari, I., Papadakis, S., Karalis, T., & Komis, V. (2024). Educational approaches with AI in primary school settings: A systematic review of the literature available in Scopus. Education Sciences, 14(7), 744. https://doi.org/10.3390/educsci14070744

Arriola-Mendoza, J., & Valerio-Ureña, G. (2024). Essential elements for implementing AI tools in elementary school: A systematic literature review. Education Sciences, 14(12), 1292. https://doi.org/10.3390/educsci14121292

Chen, F., & Chen, G. (2025). Technology-enhanced collaborative inquiry in K–12 classrooms: A systematic review of empirical studies. Science & Education, 34, 1731–1773. https://doi.org/10.1007/s11191-024-00538-8

Chen, X., Wang, X., & colleagues. (2024). A systematic review of learning task design for K-12 AI education: Trends, challenges, and opportunities. Computers and Education: Artificial Intelligence, 6, 100217. https://doi.org/10.1016/j.caeai.2024.100217

García-Martínez, I., Fernández-Batanero, J. M., Fernández-Cerero, J., & León, S. P. (2023). Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. Journal of New Approaches in Educational Research, 12, 171–197. https://doi.org/10.7821/naer.2023.1.1240

Liu, J., Sihes, A. J. B., & Lu, Y. (2025). How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners' critical thinking in EFL education? A systematic review. Smart Learning Environments, 12, 48. https://doi.org/10.1186/s40561-025-00406-0

Liu, J., Sihes, A. J. B., & Lu, Y. (2025). How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners' critical thinking in EFL education? A systematic review. Smart Learning Environments, 12, 48. https://doi.org/10.1186/s40561-025-00406-0

Loyens, S. M. M., van Meerten, J. E., Schaap, L., & Wijnia, L. (2023). Situating higher-order, critical, and critical-analytic thinking in problem- and project-based learning environments: A systematic review. Educational Psychology Review, 35, 39. https://doi.org/10.1007/s10648-023-09757-X

Loyens, S. M. M., van Meerten, J. E., Schaap, L., & Wijnia, L. (2023). Situating higher-order, critical, and critical-analytic thinking in problem- and project-based learning environments: A systematic review. Educational Psychology Review, 35, 39. https://doi.org/10.1007/s10648-023-09757-X

Marzano, D. (2025). Generative Artificial Intelligence (GAI) in teaching and learning processes at the K–12 level: A systematic review. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09853-7

Marzano, D. (2026). Generative artificial intelligence (GAI) in teaching and learning processes at the K–12 level: A systematic review. Technology, Knowledge and Learning, 31, 789–829. https://doi.org/10.1007/s10758-025-09853-7

OECD. (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en

Ramadhani, N. K. N., & Sari, N. K. (2026). Artificial Intelligence-Based Project-Based Learning on critical thinking skills: A quasi-experimental study in elementary school. International Journal of Science and Society, 8(1). https://doi.org/10.54783/ijsoc.v8i1.1636

Sardi, J., Darmansyah, Candra, O., Yuliana, D. F., Habibullah, Yanto, D. T. P., & Eliza, F. (2025). How generative AI influences students’ self-regulated learning and critical thinking skills? A systematic review. International Journal of Engineering Pedagogy, 15(1), 94–108. https://doi.org/10.3991/ijep.v15i1.53379

Tafakur, T., Retnawati, H., & Shukri, A. A. M. (2023). Effectiveness of project-based learning for enhancing students critical thinking skills: A meta-analysis. JINoP (Jurnal Inovasi Pembelajaran), 9(2), 191–209. https://doi.org/10.22219/jinop.v9i2.22142

Taula, R., Festiyed, & Yerimadesi. (2025). Meta analysis of the effect of the project based learning model on students' critical thinking ability in elementary school science learning. International Journal of Education and Teaching Zone, 4(2). https://doi.org/10.57092/ijetz.v4i2.423

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

Zhang, et al. (2026). The cognitive impact of ChatGPT in higher education: A systematic review of critical and creative thinking outcomes. Computers and Education: Artificial Intelligence, 10, 100571. https://doi.org/10.1016/j.caeai.2026.100571

Downloads

Published

2026-05-31

Issue

Section

Articles

How to Cite

The Influence of the Artificial Intelligence Integrated Project-Based Learning Model on Ability Critical Thinking of Elementary School Students. (2026). Journal of Innovative Teaching and Educational Research, 1(1), 59-71. https://journal.cakrajiyaedukasi.com/jiter/article/view/5