Enhancing Students’ Understanding of Statistical Concepts through the Implementation of Lesson Study in Android-Assisted Learning
The integration of interactive digital media in mathematics learning has been widely recognized as an effective approach to enhancing students' conceptual understanding, particularly in statistics, a subject that demands both procedural fluency and meaningful data interpretation. Interactive media-assisted learning enables students to engage with abstract statistical concepts through visualization, simulation, and hands-on data manipulation, thereby fostering deeper comprehension and sustained motivation. Building on this premise, this study develops and implements a lesson study framework integrated with an Android-based application to improve junior high school students' understanding of statistical concepts. The lesson study method involved three cyclical stages: Plan, Do, and See. During the planning stage, the research team and collaborating mathematics teachers conducted a needs analysis, identified students' learning difficulties, developed discovery-learning-based instructional modules, and designed an Android application with data input, visualization, and statistical simulation capabilities. The implementation stage involved classroom instruction supported by the application, with systematic observation using a researcher-developed structured classroom observation protocol that covered student engagement, instructional alignment, and the quality of technology integration. The instrument was reviewed and validated by two experts in mathematics education before implementation. The reflection stage focused on collaborative evaluation of the learning process to iteratively refine instructional design and application functionality. Quantitative classroom observation data showed increased student participation and task completion across the implementation cycles. In addition, qualitative findings from classroom observations and reflective notes indicated improvements in students' conceptual understanding and classroom engagement. The integration of technology into the lesson study model fosters a more contextualized, interactive, and reflective learning environment, thereby enhancing the quality of statistics instruction at the junior high school level.
Keywords: lesson study, Android application, statistics learning, student understanding, junior high school.
Abdullah, W. D., Afikah, A., Apino, E., Supahar, S., & Jumadi, J. (2024). Moderator effect of mobile learning on students’ achievement in physics: a meta-analysis. Journal of Baltic Science Education, 23(2), 187–207. https://doi.org/10.33225/jbse/24.23.187
Anderson, C., Jones, P., & Smith, D. (2019). Reimagining mathematics education: Approaches to teaching statistics in secondary schools. Journal of Educational Methods, 29(1), 45–59. https://doi.org/10.1080/02190720.2019.1060877
Baumfield, V., Bethel, A., Boyle, C., Katene, W., Knowler, H., Koutsouris, G., & Norwich, B. (2022). How lesson study is used in initial teacher education: an international review of literature. Teacher Development, 26(3), 356–372. https://doi.org/10.1080/13664530.2022.2063937
Becker, M. (2020). Mobile learning applications for mathematics: Enhancing independent learning in students. Journal of Educational Technology and Innovation, 14(3), 94–102. https://doi.org/10.1016/j.jeti.2019.02.004
Bright, A., Welcome, N. B., & Arthur, Y. D. (2024). The effect of using technology in teaching and learning mathematics on student's mathematics performance: The mediation effect of students' mathematics interest. Journal of Mathematics and Science Teacher, 4(2), 1–10. https://doi.org/10.29333/mathsciteacher/14309
Bruner, J. S. (1961). The act of discovery. Harvard Educational Review, 31(1), 21–32.
Buchholz, D., & Keisler, M. (2021). Lesson study as a collaborative model in teaching statistics. Journal of Mathematics Education, 18(2), 75–85. https://doi.org/10.1080/15369982.2021.1660589
Darlin, D., Arianto, F., Laha, M. S., Nurlin, N., & Nisa, K. (2026). A systematic review of mobile learning-based research in fostering critical thinking skills. Studies in Learning and Teaching, 7(1), 41–56. https://doi.org/10.46627/silet
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dudley, P. (2014). Lesson study: A handbook. Routledge.
Fernandez, C. (2002). Learning from Japanese approaches to professional development: The case of lesson study. Journal of Teacher Education, 53(5), 393–405. https://doi.org/10.1177/002248702237394
Hariyanti, F., Ketut Budayasa, I., & Setianingsih, R. (2025). Design and evaluation of a guided discovery learning model to enhance junior secondary students’ statistical literacy. The Journal of Education Culture and Society, (2), 685–706. https://orcid.org/0000-0001-6232-6063
Herlambang, S. B., Nusantara, D. S., & Pasaribu, F. T. (2025). Portrait of junior high school students’ statistical literacy through pisa on uncertainty and data content. Jurnal Pendidikan Matematika Universitas Lampung, 13(4), 217–228. https://doi.org/10.23960/mtk/v13i4.pp217-228
Jamil, S., & Sulaiman, T. (2020). Challenges in teaching statistics at the secondary school level: A review. International Journal of Educational Research, 23(2), 112–121. https://doi.org/10.1016/j.ijedures.2020.07.004
Kumar, R., & Raza, S. (2019). Technological innovation in education: The role of mobile applications in learning mathematics. Journal of Educational Technology and Innovation, 14(3), 94–102. https://doi.org/10.1016/j.jeti.2019.02.004
Kurnia, A. B., Lowrie, T., & Patahuddin, S. M. (2024). The development of high school students’ statistical literacy across grade level. Mathematics Education Research Journal, 36(Suppl. 1), 7–35. https://doi.org/10.1007/s13394-023-00449-x
Lewis, C. (2002). Lesson study: A handbook of teacher-led instructional change. Research for Better Schools.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.
Miller, J., & Finkelstein, S. (2018). Statistics education: Challenges and solutions in secondary school mathematics. Journal of Statistics Education, 26(1), 25–30. https://doi.org/10.1080/10691898.2018.1457325
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Mulyadi, D., & Setiawan, E. (2021). Innovative learning technologies for teaching statistics in high school. Journal of Educational Technology and Innovation, 16(1), 87–95. https://doi.org/10.1007/s11542-021-00411-y
Muniz, L. J. R., Rodríguez, L. M., Alonso, I. G., Serentill, P. L., Vasquez, C., & Alsina, A. (2022). Navigating between abstraction and context in secondary school statistics education. Research in Comparative and International Education.
Nurdiana, S. (2022). Collaborative learning in mathematics: A review of lesson study implementation. Journal of Mathematics Education Research, 18(2), 72–82. https://doi.org/10.1080/1539154X.2022.1903949
Nusantara, D. S., Herlambang, S. B., Pasaribu, F. T., & Maphutha, K. (2026). Developing PISA-Like task using climate change contexts to enhance students’ statistical literacy. Journal of Research and Advances in Mathematics Education, 11(2), 155–176. https://doi.org/10.23917/jramathedu.v11i2.15181
OECD. (2019). Trends shaping education 2019. OECD Publishing. https://doi.org/10.1787/trends_edu-2019-en
Reychav, I., Dunaway, M., & Kobayashi, M. (2015). Understanding mobile technology-fit behaviors outside the classroom. Computers & Education, 87, 142–150. https://doi.org/10.1016/j.compedu.2015.04.005
Richit, A., Agranionih, N. T., Zimer, T. T. B., & Neves, R. B. (2024). Professional collaboration in a lesson study with university mathematics professors. International Electronic Journal of Mathematics Education, 19(2). https://doi.org/10.29333/iejme/14290
Ruthven, K. (2012). The didactical challenge of technology integration in school mathematics. In M. de Villiers & F. Lester (Eds.), Proceedings of the 12th international congress on mathematical education (pp. 550–569). Springer. https://doi.org/10.1007/978-3-319-12688-3
Schreiter, S., Friedrich, A., Fuhr, H., Malone, S., Brünken, R., Kuhn, J., & Vogel, M. (2024). Teaching for statistical and data literacy in k–12 stem education: a systematic review on teacher variables, teacher education, and impacts on classroom practice. ZDM – Mathematics Education, 56(1), 31–45. https://doi.org/10.1007/s11858-023-01531-1
Selamat, N., Mohd Seruan, A., Nor Aziz, A., Kamaruddin, M., & Mohd Matore, M. E. E. (2025). Lesson study at school: challenges, potential and options for future practice. International Journal of Academic Research in Economics and Management Sciences, 14(3), 490–498. https://doi.org/10.6007/ijarems/v14-i3/26306
Shimizu, Y., & Kang, H. (2022). Discussing students’ thinking and perspectives for improving teaching: an analysis of teachers’ reflection in post-lesson discussions in lesson study cycles. ZDM – Mathematics Education, 54(2), 419–431. https://doi.org/10.1007/s11858-022-01371-5
Watson, J., & Smith, C. (2022). Statistics education at a time of global disruption and crises: a growing challenge for the curriculum, classroom and beyond. Curriculum Perspectives, 42(2), 171–179. https://doi.org/10.1007/s41297-022-00167-7
Weiland, T., & Engledowl, C. (2022). Transforming curriculum and building capacity in k–12 data science education. Harvard Data Science Review, 4(4). https://doi.org/10.1162/99608f92.7fea779a
Yilmaz, R. M. (2020). Using mobile applications in teaching mathematics: A review of the current trends and practices. Journal of Mathematics Education, 34(1), 30–39. https://doi.org/10.1111/j.1725-3993.2020.00588.x
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