The effectiveness of using the teachy digital application on elementary school students’ science achievement

Muhammad Noryanto; Oktaviani Adhi Suciptaningsih; Riska Pristiani

doi:10.30862/jri.v6i1.67

Authors

Muhammad Noryanto Universitas Negeri Malang Author
Oktaviani Adhi Suciptaningsih Universitas Negeri Malang Author
Riska Pristiani Universitas Negeri Malang Author

DOI:

https://doi.org/10.30862/jri.v6i1.67

Keywords:

Engagement, science achievement, technology-enhanced learning

Abstract

Low engagement and conventional instruction remain obstacles in Indonesian elementary science. This study examined the effectiveness of Teachy, a technology-enhanced learning application, in Grade-5 science. A quasi-experimental nonequivalent control group design was implemented at SDN V 013 Tana Tidung (N=33). The experimental class (n=17) learned with Teachy (interactive quizzes, animations, automated feedback); the control class (n=16) received conventional teaching. Outcomes were measured with a validated 25-item multiple-choice post-test; student engagement was observed during lessons. Assumptions of normality (Kolmogorov–Smirnov/Shapiro–Wilk) and homogeneity (Levene) were met; analyses used independent samples t-tests (α=.05). Results showed higher performance for Teachy (M=83.6, SD=6.8) than control (M=74.2, SD=7.5), t(31)=3.776, p<.001, mean difference=9.40, 95% CI [4.32, 14.48], Hedges’ g=1.28 (large). Findings indicate that Teachy substantially improves science achievement and supports constructivist learning aligned with the Merdeka Curriculum. Implications include integrating Teachy as core media with formative monitoring; future studies should extend to multi-site, pretest–posttest designs and retention tests.

Downloads

Download data is not yet available.

References

Akatyev, N. (2024). Modern state of application of AI technologies in chemical education: Problems and approaches. Bulletin of Toraighyrov University. Pedagogics Series, 2, 4–16. https://doi.org/10.48081/qews3041

Anisa, V., & Astriani, D. (2022). Implementation of PhET simulation with discovery learning model to improve understanding of dynamic electricity concepts. Jurnal Pijar MIPA, 17(3), 292–301. https://doi.org/10.29303/jpm.v17i3.3438

Casal-Otero, L., Vázquez-Cano, E., López-Meneses, E., & Fernández-Cruz, F. J. (2023). AI literacy in K–12: A systematic review. International Journal of STEM Education, 10(1), 1–17. https://doi.org/10.1186/s40594-023-00418-7

Creswell, J. W., & Guetterman, T. C. (2021). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (6th ed.). Pearson

Cheung, A., Slavin, R., Kim, E., & Lake, C. (2016). Effective secondary science programs: A best‐evidence synthesis. Journal of Research in Science Teaching, 54(1), 58–81. https://doi.org/10.1002/tea.21338

Cook, T. D., & Campbell, D. T. (1979). Quasi-Experimentation: Design and Analysis Issues for Field Settings. Houghton Mifflin

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge

Damopolii, I. (2025). Student Motivation in Biology Learning Using Augmented Reality and Comics. Report of Biological Education, 6(2), 76–86. https://doi.org/10.37150/11vdyg02

Dita, K. I., Nunaki, J. H., Nasir, N. I. R. F., Winarno, N., Damopolii, I., & Latjompoh, M. (2024). Flipbook digital sistem peredaran darah manusia: Dampaknya terhadap hasil belajar siswa. Biogenesis, 20(2), 55–70. https://doi.org/http://dx.doi.org/10.31258/biogenesis.20.2.55-70

Dita, K. I., Tuririday, H. T., Damopolii, I., & Latjompoh, M. (2023). Designing the human circulatory system e-module to increase student achievement. Inornatus: Biology Education Journal, 3(2), 75–84. https://doi.org/10.30862/inornatus.v3i2.422

Erdoğan, Y., & Dede, D. (2015). Computer assisted project-based instruction: The effects on science achievement, computer achievement and portfolio assessment. International Journal of Instruction, 8(2), 177–188. https://doi.org/10.12973/iji.2015.8214a

Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE.

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to Design and Evaluate Research in Education (10th ed.). McGraw-Hill.

Gall, M. D., Gall, J. P., & Borg, W. R. (2015). Applying Educational Research: How to Read, Do, and Use Research to Solve Problems of Practice. Pearson.

Hayanto, N. I., & Hansun, S. (2020). Pembangunan aplikasi latihan soal IPA SD dengan gamifikasi. Jurnal Teknologi Informasi dan Ilmu Komputer, 7(1), 87–98. https://jtiik.ub.ac.id/index.php/jtiik/article/view/1364

Kemendikbud. (2022). Panduan Implementasi Kurikulum Merdeka. Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science. Frontiers in Psychology, 4, 863. https://doi.org/10.3389/fpsyg.2013.00863

Lišnić, B., Zaharija, G., & Mladenović, S. (2025). Integration of artificial intelligence in K–12: Analysis of a three-year pilot study. AI, 6(3), 927–945. https://doi.org/10.3390/ai6030049

Lin, X. F., Wong, S. Y., Zhou, W., Shen, W., Li, W., & Tsai, C. C. (2024). Undergraduate students’ profiles of cognitive load in augmented reality–assisted science learning and their relation to science learning self-efficacy and behavior patterns. International Journal of Science and Mathematics Education, 22(2), 419-445. https://doi.org/10.1007/s10763-023-10376-9

Manik, E., & Limbong, T. (2019). Aplikasi pembelajaran IPA tentang fauna model game untuk sekolah dasar dengan metode computer assisted instruction (CAI). MEANS (Media Informasi Analisa dan Sistem), 4(2), 136–141. https://doi.org/10.54367/means.v4i2.547

Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.

Milasari, D., & Setyasto, N. (2023). Effectiveness of the microsoft sway assisted problem-based learning model on science learning outcomes. Jurnal Penelitian Pendidikan IPA, 9(9), 7028–7035. https://doi.org/10.29303/jppipa.v9i9.4563

Nasir, N. I. R. F., Mahanal, S., Ekawati, R., Damopolii, I., Supriyono, S., & Rahayuningsih, S. (2024). Primary school students’ knowledge about animal life cycle material: The survey study. Journal of Research in Instructional, 4(1), 253–262. https://doi.org/https://doi.org/10.30862/jri.v4i1.320

Nasir, N. I. R. F., Purwaningsih, E., Ekawati, R., & Yambi, T. D. A. C. (2024). An analysis of primary school students’ scientific literacy. Journal of Research in Instructional, 4(2), 623–634. https://doi.org/10.30862/jri.v4i2.544

Nisa, K., Safitri, A., & Mubarok, H. (2024). How the evolution and track of several digital technologies in science education? JPPS (Jurnal Penelitian Pendidikan Sains), 13(2), 113–128. https://doi.org/10.26740/jpps.v13n2.p113-128

Rahayu, S., Hakim, A. R., & Fitrianingsih, N. (2025). Development of teaching materials using AI-based Teachy app at Pela Elementary School. Journal of Educational Sciences, 9(5), 3788–3799. https://doi.org/10.31258/jes.9.5.p.3788-3799

Rahayuningsih, H., & Setiawan, D. (2023). PDF-based digital comic innovation: Class V human respiratory system material. Jurnal Penelitian Pendidikan IPA, 9(8), 5864–5873. https://doi.org/10.29303/jppipa.v9i8.4085

Runniarsiti, R., Arismunandar, A., & Febriati, F. (2025). Development of web-based learning multimedia to improve students understanding of mathematical concepts in elementary schools. Journal of Research in Instructional, 5(2), 698–713. https://doi.org/10.30862/jri.v5i2.820

Sabaryati, J., Viridi, S., Utami, L. S., Zulkarnain, & Isnaini, M. (2022). Developing motion sensor experiments in problem-based learning for students’ HOTS. Advances in Social Science, Education and Humanities Research, 80–84. https://doi.org/10.2991/assehr.k.220129.015

Saputro, N., Patonah, S., & Sukamto, S. (2024). Designing a hybrid E-Dian application to increase the effectiveness of IPAS learning in elementary schools: Web and Android-based system design approach. KnE Social Sciences. https://doi.org/10.18502/kss.v9i6.15326

Siregar, N. N., Firmansyah, F., Natasya, D., & Damopolii, I. (2025). Efektivitas Project Based Learning Berbantuan Wordwall untuk Meningkatkan Prestasi Belajar Ditinjau dari Rasa Ingin Tahu. Cokroaminoto Journal of Primary Education, 8(1), 32–41. https://doi.org/10.30605/cjpe.812025.5338

Suhartini, S., Hanafi, Y., & Rahayuningsih, S. (2026). The influence of family environment on learning outcomes of grade 5 Students at SDN 002 Tana Tidung. Journal of Research in Instructional, 6(1), 108–119. https://doi.org/10.30862/jri.v6i1.13

Syahrul, S., Kusumaningrum, S. R., Arifin, S., Admoko, A., & Mas’ula, S. (2026). Strengthening reading literacy through contextual teaching and learning with Dayak Belusu local wisdom. Journal of Research in Instructional, 6(1), 78–91. https://doi.org/10.30862/jri.v6i1.14

Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Yim, I. H. Y., & Su, J. (2023). Artificial intelligence (AI) learning tools in K–12 education: A scoping review. Journal of Computers in Education, 10, 1–28. https://doi.org/10.1007/s40692-023-00304-9

Zhang, W., Guan, Y., & Hu, Z. (2024). The efficacy of project-based learning in enhancing computational thinking among students: A meta-analysis of 31 experiments and quasi-experiments. Education and Information Technologies, 29(11), 14513-14545. https://doi.org/10.1007/s10639-023-12392-2