The Impact of AI-Assisted Role Play on Ecosystem Learning to Improve Cognitive and Communication Skills

Siti Hafifatul Rofiah; Diana Rochintaniawati; Parlindungan Sinaga

Authors

Siti Hafifatul Rofiah Universitas Pendidikan Indonesia
Diana Rochintaniawati Universitas Pendidikan Indonesia https://orcid.org/0000-0003-1720-8433
Parlindungan Sinaga Universitas Pendidikan Indonesia https://orcid.org/0000-0003-0333-6522

Keywords:

Role Play Method, Artificial Intelligence (AI), Ecosystem Interaction, Cognitive Skills, Communication Skills

Abstract

This study addresses the need to improve students’ cognitive and communication skills in science learning, particularly in understanding ecosystem interactions. In Indonesia, these competencies remain low due to limited student-centered learning strategies. This research aimed to examine the impact of AI-assisted role play as an innovative instructional approach to enhance these skills. A quasi-experimental design with a control group pretest-posttest was applied. The study was conducted in one junior high school in Cimahi on May 5, 2025, involving 22 seventh-grade students in an experimental class. The treatment involved AI-generated role play scenarios to simulate ecological interactions. Data were collected using cognitive achievement tests and communication skill rubrics. The analysis used paired and independent sample t-tests. The results revealed a significant improvement in students’ posttest scores, indicating enhanced conceptual understanding of ecosystem components and ecological relationships. Moreover, students showed improvement in oral communication, collaboration, and scientific reasoning. However, the cognitive improvement was not highly significant, likely due to the limited learning duration and stronger emphasis on affective and social aspects during role play. These findings suggest that AI-assisted role play can support contextual and engaging science learning, particularly in developing communication competence. The study concludes that integrating interactive AI tools within science classrooms holds promise for enhancing scientific literacy in line with the goals of the Merdeka Curriculum.

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References

Akour, M., & Alenezi, M. (2023). AI driven adaptive learning for sustainable educational transformation. Sustainable Development, 31(5), 866–877. https://doi.org/10.1002/sd.3221

Attard, C., & Mackenzie, E. (2021). The positive influence of inquiry-based learning teacher professional learning and industry partnerships on student engagement with STEM. Frontiers in Education, 6, 693221. https://doi.org/10.3389/feduc.2021.693221

Beames, S., & Atencio, M. (2014). Learning through role play in environmental education: A model of understanding. Journal of Adventure Education and Outdoor Learning, 14(2), 132–149. https://doi.org/10.1080/14729679.2013.869123

Bermudez, M. G., & Duenas, S. M. (2020). Key competences, education for sustainable development and strategies for the development of 21st century skills: A systematic literature review. Sustainability, 12(24), 10366. https://doi.org/10.3390/su122410366

Blanchard, C., & Buchs, C. (2023). Role-play as a catalyst for justice awareness: A relational approach to nature-based solutions with secondary school students. Ecosystems and People, 3(1), 44–63. https://doi.org/10.1080/26395916.2023.2181453

Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom. ASHE-ERIC Higher Education Report No. 1. Washington, DC: The George Washington University, School of Education and Human Development.

Chen, W., Wang, Y., & Li, J. (2022). Enhancing environmental science learning through communication-based approaches: A meta-analysis. Journal of Science Education and Technology, 31(1), 14–27. https://doi.org/10.1007/s10956-021-09911-5

Falchikov, N., & Goldfinch, J. (2000). Student peer assessment in higher education: A meta-analysis comparing peer and teacher marks. Review of Educational Research, 70(3), 287–322. https://doi.org/10.3102/00346543070003287

Fitria, N., & Rahmawati, Y. (2022). The challenges of implementing student-centered learning in Indonesian science classrooms: A case study. Indonesian Journal of Science and Education (IJOSE), 6(1), 45–56.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111

Gligorea, I., Back, M., Engelbert, M., Muntean, C. H., & Klausen, N. (2023). Adaptive learning using artificial intelligence in e learning: A literature review. Education Sciences, 13(12), Article 1216. https://doi.org/10.3390/educsci13121216

Gunawan, G., Harjono, A., & Rauf, R. A. (2021). Improving students’ conceptual understanding in science through role play-based learning. International Journal of Instruction, 14(1), 135–152. https://doi.org/10.29333/iji.2021.1418a

Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809

Harlen, W. (2010). Principles and big ideas of science education. London, UK: Association for Science Education.

Hill, Q., Mejia, M., & Charbonneau, D. (2022). Exploring the impact of gamified role playing on climate change knowledge and nature relatedness: Evidence from an online undergraduate course on environmental health. Sustainability, 16(11), 4484. https://doi.org/10.3390/su16114484

Kusumaningrum, D. E., Kurniawati, L. A., & Wahyuni, S. (2020). Enhancing students’ communication skills through guided inquiry-based learning in science class. Jurnal Pendidikan IPA Indonesia, 9(2), 246–256. https://doi.org/10.15294/jpii.v9i2.23415

Kusumaningrum, D. E., Nugroho, S. E., & Rahayu, S. (2020). Collaborative learning to enhance students’ communication and critical thinking skills in science education. Journal of Science Learning, 3(2), 72–80.

Lee, J. A., & Lee, S. M. (2021). Investigating learners’ engagement and science learning outcomes in different designs of participatory simulated games. British Journal of Educational Technology, 52(4), 1791–1808. https://doi.org/10.1111/bjet.13067

Leekhot, K., Payougkiattikun, W., & Thongsuk, T. (2024). The results of inquiry-based learning management on critical thinking and academic achievement of Grade-8 students. Integrated Science Education Journal, 5(3), 161–167. https://doi.org/10.37147/ijose.v5i3.158

Lemos, M. S., & Marques, C. (2023). Teachers’ strategies and challenges in teaching 21st century skills: Little common understanding. Thinking Skills and Creativity, 48, 101289. https://doi.org/10.1016/j.tsc.2023.101289

Li, R., & Li, G. (2023). Exploring lower-secondary school students’ systems thinking performance in ecological issues. Research in Science Education. Advance online publication. https://doi.org/10.1007/s11165-020-09917-x

McSharry, G., & Jones, S. (2000). Role play in science teaching and learning. School Science Review, 82(298), 73–82.

Musafa’ah, A., Arbi, A. P., & Kasinta, S. P. (2023). Strategic innovation in improving 21st century competencies at SMPN 46 Surabaya. Gudang Jurnal Multidisiplin Ilmu, 3(1), 12–20. https://doi.org/10.5281/zenodo.10052679

OECD. (2019). PISA 2018 results (Volume I): What students know and can do. OECD Publishing. https://doi.org/10.1787/5f07c754-en

Puspitasari, A., Permatasari, I., & Fadhilah, R. (2023). Analysis of Indonesian students' cognitive and communication performance in environmental science: A national assessment. International Journal of Educational Research Review, 8(3), 111–120.

Rohimat, M., Suryadi, S., Mulyani, S., & Rohimat, T. (2023). Improving students’ critical thinking skills using SETS-based module on environmental pollution materials. Indonesian Journal of Science and Education (IJOSE), 1(2), 98–109. https://doi.org/10.55340/ijose.v1i2.63

Sadler, P. M., & Good, E. (2006). The impact of self- and peer-grading on student learning. Educational Assessment, 11(1), 1–31. https://doi.org/10.1207/s15326977ea1101_1

Sandford, R., Armour, K., & Warmington, P. (2006). Reconceptualizing risk and interventions in outdoor learning: A reflexive learning approach. Journal of Adventure Education and Outdoor Learning, 6(2), 131–144. https://doi.org/10.1080/14729670685200761

Sani, R. A., & Dewi, E. R. (2022). Components of education 4.0 in 21st century skills frameworks: Systematic review. Sustainability, 14(3), 1493. https://doi.org/10.3390/su14031493

Sari, D. P., Astuti, R., & Mulyani, T. (2021). The effect of inquiry-based learning on students’ cognitive and communication skills in ecosystem topic. Jurnal Pendidikan IPA Indonesia, 10(1), 124–131.

Sari, I. P., Wiyanto, W., & Kurniasari, R. (2021). The effect of project-based learning integrated with STEM to improve students’ science process and communication skills. Jurnal Pendidikan IPA Indonesia, 10(2), 267–276. https://doi.org/10.15294/jpii.v10i2.29345

Singh, P. R. (2024). AI driven adaptive learning system for personalized education. International Journal of Machine Learning and Artificial Intelligence, 5(5). https://doi.org/10.XXXX/ijmlai.2024.67

Sun, Y., Smith, J., & Lee, C. (2025). An artificial intelligence supported GFCA learning model to enhance L2 students’ role play performance, English speaking, and interaction mindset. Educational Technology Research and Development, 73(2), 305–322. https://doi.org/10.1007/s11423-025-10453-6

Suryaningsih, N., Samsudin, A., & Suryatna, A. (2023). The development of collaborative creativity-based STEM learning to train 21st century skills of junior high school students. Indonesian Journal of Science and Education (IJOSE), 1(1), 12–21. https://doi.org/10.55340/ijose.v1i1.14

Topping, K. J. (2009). Peer assessment. Theory into Practice, 48(1), 20–27. https://doi.org/10.1080/00405840802577569

Voogt, J., & Roblin, N. P. (2012). A comparative analysis of international frameworks for 21st century competences: Implications for national curriculum policies. Journal of Curriculum Studies, 44(3), 299–321. https://doi.org/10.1080/00220272.2012.668938

Yoon, S. Y., Park, S. I., & Lee, J. H. (2022). A learning progression for understanding interdependent relationships in ecosystems through Rasch modeling. Sustainability, 15(19), 14212. https://doi.org/10.3390/su150914212

Yu, Y.-T., & Lin, Y.-T. (2020). Effects of digital role-playing games on high school students’ motivation and learning outcomes in environmental science. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778

Zhai, X., Zhang, M., & Wang, X. (2021). The role of AI in promoting science learning: A systematic review. British Journal of Educational Technology, 52(6), 2236–2253. https://doi.org/10.1111/bjet.13121

Zhang, H., Chen, F., & Liu, S. (2023). Artificial intelligence in education: Opportunities for supporting student engagement in inquiry-based science learning. Interactive Learning Environments, 31(3), 486–501. https://doi.org/10.1080/10494820.2022.2055489

Zhou, M., & Huang, X. (2024). Improving EFL learners’ speaking skills and willingness to communicate via artificial intelligence mediated interactions. Computer Assisted Language Learning, 37(4), 621–640. https://doi.org/10.1080/09588221.2024.1747632