Development of a Techno-mathematical Literacy: Integrated SMARTECH and Its Impact on Junior High School Students' Cognitive Engagement



Metrics Analysis (Dimensions & PlumX)

Indexing:
Similarity:

© 2026 Luvy Sylviana Zanthy, Ronny Mugara, Alfa Mitri Suhara, Tommy Tanu Wijaya

This study aims to develop a SMARTECH e-module integrated with Techno-mathematical Literacy (TmL) and to analyze its content validity, practicality, and the observed changes in students' cognitive engagement following the e-module's implementation. The study used a mixed-methods design with a Design-Based Research (DBR) approach. The subjects consisted of 120 junior high school students selected through purposive sampling from three schools in different areas in West Java. In the implementation stage, a one-group pretest-posttest design was used. Data were collected through expert assessment sheets, student and teacher practicality questionnaires, cognitive engagement questionnaires, observation sheets, and interviews. Data analysis was conducted using descriptive qualitative methods to identify the e-module design characteristics; Aiken's V to assess content validity based on expert judgment; descriptive analysis to assess practicality; and paired-samples t-test, Cohen's d, and N-gain to examine changes in students' cognitive engagement. The results of the study indicate that the developed e-module has the main characteristics of a systematic learning flow, an easy-to-use digital interface, activities that encourage active thinking, and support for independent learning. The results of expert validation indicate that the e-module has adequate content validity across mathematical content suitability, TmL integration, instructional design, and activity flow (0,80 each), as well as language and readability (0.79). The results of the practicality test showed an average score of 4.35 (87%), which is classified as very practical. The pretest-posttest results showed that the use of the SMARTECH e-module was associated with a significant increase in students' cognitive engagement, with t(119) = 55.46, p < 0.001, Cohen's d = 0.97, and N-gain = 0.44. Qualitative findings support these results, namely, students were more active in exploring various strategies, comparing representations, engaging in conceptual discussions, and being more persistent in solving non-routine problems. Thus, the SMARTECH e-module is declared valid, highly practical, and has the potential to increase students' cognitive involvement in mathematics learning in junior high school.

 

Keywords: e-module, SMARTECH,  techno-mathematical literacy, cognitive engagement, design-based research.

Adams, J., Resnick, I., & Lowrie, T. (2023). Supporting senior high-school students’ measurement and geometry performance: Does spatial training transfer to mathematics achievement? Mathematics Education Research Journal, 35(4), 879–900. https://doi.org/10.1007/s13394-022-00416-y

Amaludin, R., Akib, I., & Sukmawati, S. (2025). Integrating Technology in Mathematics Education: A Research Synthesis of Learning Outcomes and Pedagogical Implications. PPSDP International Journal of Education, 4(2). https://doi.org/10.59175/pijed.v4i2.738

Balalle, H. (2024). Exploring student engagement in technology-based education in relation to gamification, online/distance learning, and other factors: A systematic literature review. Social Sciences & Humanities Open, 9, 100870.

Bian, H., & Zaid, N. M. (2025). Enhancing Cognitive Engagement in Smart Classrooms: A Systematic Review of Educational Technology Integration. Asian Journal of University Education, 21(3), 1090–1106. https://doi.org/10.24191/ajue.v21i3.71

Bond, M., Bedenlier, S., Marín, V. I., & Händel, M. (2021). Emergency remote teaching in higher education: mapping the first global online semester. In International Journal of Educational Technology in Higher Education, 18(1), 50. https://doi.org/10.1186/s41239-021-00282-x

Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research – A systematic review of recent trends. Computers & Education, 114, 255–273. https://doi.org/https://doi.org/10.1016/j.compedu.2017.07.004

Buhl, M., Dirckinck-Holmfeld, L., & Jensen, E. O. (2022). Expanding and orchestrating the problem identification phase of design-based research. Nordic Journal of Digital Literacy, 17(4), 211–221. https://doi.org/10.18261/njdl.17.4.2

Cevikbas, M., Kaiser, G., & Schukajlow, S. (2024). Trends in mathematics education and insights from a meta-review and bibliometric analysis of review studies. ZDM - Mathematics Education, 56(2), 165–188. https://doi.org/10.1007/s11858-024-01587-7

Cheng, L., Wang, X., & Ritzhaupt, A. D. (2023). The effects of computational thinking integration in STEM on students’ learning performance in k-12 education: a meta-analysis. Journal of Educational Computing Research, 61(2), 416–443. https://doi.org/10.1177/07356331221114183

Cirneanu, A. L., & Moldoveanu, C. E. (2024). Use of digital technology in integrated mathematics education. Applied System Innovation, 7(4), 66. https://doi.org/10.3390/asi7040066

Drijvers, P., & Sinclair, N. (2024). The role of digital technologies in mathematics education: purposes and perspectives. ZDM – Mathematics Education, 56(2), 239–248. https://doi.org/10.1007/s11858-023-01535-x

Firmansyah, Mujib, A., Siregar, R. N., & Mathelinea, D. (2025). Electronic modul contextual learning in mathematics: analyzing its impact on student self-efficacy and problem solving abilities. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(2), 495-512. https://doi.org/10.22437/jiituj.v9i2.42554

Fitriyani, H., & Kusumah, Y. S. (2023, June). The effect of spatial reasoning on middle school students’ mathematics performance. In Proceedings of The 3rd Ahmad Dahlan International Conference on Mathematics and Mathematics Education 2021 (Vol. 2733, No. 1, p. 030040). AIP Publishing LLC.

Fredricks, J. A., Reschly, A. L., & Christenson, S. L. (Eds.). (2019). Handbook of student engagement interventions: Working with disengaged students. Academic Press.

Getenet, S., Cantle, R., Redmond, P., & Albion, P. (2024). Students’ digital technology attitude, literacy and self-efficacy and their effect on online learning engagement. International Journal of Educational Technology in Higher Education, 21(1), 3. https://doi.org/10.1186/s41239-023-00437-y

Güler, M., Bütüner, S. Ö., Danişman, Ş., & Gürsoy, K. (2022). A meta-analysis of the impact of mobile learning on mathematics achievement. Education and Information Technologies, 27(2), 1725-1745. https://doi.org/10.1007/s10639-021-10640-x

Harisman, Y., Dwina, F., Suherman, Syaputra, H., & Hafizatunnisa. (2025). Designing effective digital learning tools and teaching materials based on students’ mathematical literacy behavior. Infinity Journal, 14(4), 919–948. https://doi.org/10.22460/infinity.v14i4.p919-948

Helme, S., & Clarke, D. (2001). Identifying cognitive engagement in the mathematics classroom. Mathematics Education Research Journal, 13(2), 133–153.

Hidayat, W., Rohaeti, E. E., Ginanjar, A., & Putri, R. I. I. (2022). An ePub learning module and students' mathematical reasoning ability: a development study. Journal on Mathematics Education, 13(1), 103–118.

Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S., & Reiss, K. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153, 103897. https://doi.org/10.1016/j.compedu.2020.103897

Hui, H. B., & Mahmud, M. S. (2023). Influence of game-based learning in mathematics education on the students' cognitive and affective domain: A systematic review. Frontiers in psychology, 14, 1105806.

Jablonski, S., & Ludwig, M. (2023). Teaching and learning of geometry—A literature review on current developments in theory and practice. Education sciences, 13(7), 682.

Joshi, D. R., Adhikari, K. P., Khanal, B., Khadka, J., & Belbase, S. (2022). Behavioral, cognitive, emotional and social engagement in mathematics learning during COVID-19 pandemic. PloS one, 17(11), e0278052.

Kumalasari, K. D., Prihaswati, M., & Suprapto, R. (2025). Systematic Literature Review: Pengembangan E-Modul Interaktif untuk Meningkatkan Kemampuan Pemecahan Masalah Matematis Siswa. Jurnal Pendidikan Matematika Undiksha, 16(1).

Li, S., & Lajoie, S. P. (2022). Cognitive engagement in self-regulated learning: an integrative model. European Journal of Psychology of Education, 37(3), 833–852. https://doi.org/10.1007/s10212-021-00565-x

Li, Y. D., & Wu, J. H. (2025). Enhancing students’ achievement and scientific literacy through technology-enhanced learning in science education: a meta-analysis. Research in Science & Technological Education, 1–24.

Lo, C. K., & Hew, K. F. (2020). A comparison of flipped learning with gamification, traditional learning, and online independent study: the effects on students’ mathematics achievement and cognitive engagement. Interactive Learning Environments, 28(4), 464-481.

Lowrie, T., Logan, T., & Ramful, A. (2017). Visuospatial training improves elementary students’ mathematics performance. British Journal of Educational Psychology, 87(2), 170–186.

Luo, R., Husnin, H. B., & Bin Zaini, M. H. (2025). A systematic review of teachers’ digital competence and its effect on students’ academic self-efficacy, learning engagement and other outcomes. In Environment and Social Psychology, 10(9). 1-25. https://doi.org/10.59429/esp.v10i9.4082

Malik, R. (2023, March). Impact of technology-based education on student learning outcomes and engagement. In 2023 10th international conference on computing for sustainable global development (INDIACom) (pp. 784–788). IEEE.

McKenney, S., & Reeves, T. (2018). Conducting educational design research. Routledge.

Mohammadi Zenouzagh, Z., Admiraal, W., & Saab, N. (2025). Empowering student engagement: the dynamics of learner traits in digital feedback environments. Journal of Computing in Higher Education. 1–26. https://doi.org/10.1007/s12528-025-09459-z

Molina, O. E., Fuentes-Cancell, D. R., & García-Hernández, A. (2022). Evaluating usability in educational technology: A systematic review from the teaching of mathematics. In LUMAT, 10(1), 65–88. University of Helsinki. https://doi.org/10.31129/LUMAT.10.1.1686

Papageorgiou, E., Wong, J., Liu, Q., Khalil, M., & Cabo, A. J. (2025). A systematic review on student engagement in undergraduate mathematics: Conceptualization, measurement, and learning outcomes. Educational Psychology Review, 37(3), 66.

Pratama, D., & Darojat, L. (2025). E-module for geometric transformation visualization: A case study on generation Z mathematics education. Indonesian Journal of Science and Mathematics Education, 8(1), 66–81.

Purohit, M., Kumar, V., Solanki, V. K., & Kumar, V. (2022). Integrating mathematics education with technology. World Journal of English Language, 12(3), 25.

Putra, K. H. N., Suparta, I. N., & Sudiarta, I. G. P. (2025). Developing Interactive E-Module to Enhancing Mathematical Problem-Solving Ability through Computational Thinking. International Journal of Education, Management, and Technology, 3(1), 375–384.

Rahmatullah, R., Inanna, I., & Ampa, A. T. (2020). Media pembelajaran audio visual berbasis aplikasi canva. Jurnal Pendidikan Ekonomi Undiksha, 12(2), 317–327.

Rakhmetov, M., Sadvakassova, A., Saltanova, G., Kuanbayeva, B., & Zhusupkalieva, G. (2025). Evaluation of an AI-Based Feedback System for Enhancing Self-Regulated Learning in Digital Education Platforms. Electronic Journal of e-Learning, 23(4), 126–141.

Ran, H., Kim, N. J., & Secada, W. (2021). A meta‐analysis on the effects of technology’s functions and roles on students’ mathematics achievement in K‐12 classrooms. Journal of Computer Assisted Learning, 38, 258–284. https://doi.org/10.1111/jcal.12611

Reeves, T. C., & Reeves, P. M. (2023). 609 Educational Design Research. In Mapping the Field of Adult and Continuing Education: An International Compendium (pp. 609–613). Routledge.

Rohmatulloh, R., Pujiastuti, H., & Fathurrohman, M. (2022). Integrasi E-Modul dalam pembelajaran matematika : systematic literature review. Edukatif : Jurnal Ilmu Pendidikan, 4, 7828–7839. https://doi.org/10.31004/edukatif.v4i6.4238

Scippo, S., Madiai, S., & Cuomo, S. (2025). Digital tessellation for geometry learning in primary school: a quasi-experimental study. Journal Of Information Technology Education, 24, 1–31.

Shao, J., Abdul Rabu, S. N., & Chen, C. (2025). The impact of gamified interactive e-books incorporating metacognitive reading strategies on Chinese elementary students’ mathematical reading comprehension, word problem-solving performance, and general reading motivation. Education and Information Technologies, 1–37.

Sinatra, G., Heddy, B., & Lombardi, D. (2015). The challenges of defining and measuring student engagement in science. Educational Psychologist, 50, 1–13. https://doi.org/10.1080/00461520.2014.1002924

Sofiah, N., Wiryanto, W., & Mariana, N. (2025). Development of interactive mathematics e-modules to improve elementary school students' learning outcomes and critical thinking skills. ETDC: Indonesian Journal of Research and Educational Review, 4(3), 741–755.

Sylviana Zanthy, L., Hutajulu, M. (2023). Techno mathematics literacy mahasiswa calon guru pada materi statistika penelitian di ikip siliwangi: sebuah analisis. Jurnal Pembelajaran Matematika Inovatif, 6, 795–804. https://doi.org/10.22460/jpmi.v6i2.15386

Tinoca, L., Piedade, J., Santos, S., Pedro, A., & Gomes, S. (2022). Design-Based research in the educational field: a systematic literature review. Education Sciences, 12, 410. https://doi.org/10.3390/educsci12060410

van der Wal, N. J., Bakker, A., & Drijvers, P. (2017). Which techno-mathematical literacies are essential for future engineers?. International Journal of Science and Mathematics Education, 15(Suppl 1), 87–104.

van der Wal, N. J., Bakker, A., & Drijvers, P. (2019). Teaching strategies to foster techno-mathematical literacies in an innovative mathematics course for future engineers. Zdm, 51(6), 885-897.

van der Wal, N. J., Bakker, A., & Drijvers, P. (2023). Designing an instrument to measure the development of techno-mathematical literacies in an innovative mathematics course for future engineers in STEM education. ZDM–Mathematics Education, 55(7), 1243–1254.

Viberg, O., Grönlund, Å., & Andersson, A. (2023). Integrating digital technology in mathematics education: a Swedish case study. Interactive Learning Environments, 31(1), 232–243.

Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3), 343.

Yan, D. (2023). Visible learning: the sequel: a synthesis of over 2,100 meta-analyses relating to achievement: by John Hattie, Abingdon, Routledge, 2023, 510 pp.,£ 18.39 (pbk), ISBN 9781032462035.

Yavuz, M., Balat, S., & Kayali, B. (2025). The effects of artificial intelligence supported flipped classroom applications on learning experience, perception, and artificial intelligence literacy in higher education. Open Praxis, 17(2), 286–304.

Yi, L., Liu, D., Jiang, T., & Xian, Y. (2025). The effectiveness of AI on K-12 students’ mathematics learning: A systematic review and meta-analysis. International Journal of Science and Mathematics Education, 23(4), 1105–1126.

Hasil iTentichate
Dokumentasi Penelitian

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.