This study aims to analyze the influence of students' perceptions regarding the use of the JASP application and its relationship to statistics learning outcomes through the Technology Acceptance Model (TAM) approach. The four main TAM constructs analyzed include perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention to use. This research employed a quantitative associative method using simple and multiple linear regression analyses. The sample consisted of 90 fourth-semester PGSD UNM students who had completed a statistics course, selected through simple random sampling. The results indicate that three out of the four perception variables—perceived ease of use, perceived usefulness, and attitude toward use—significantly influenced students’ learning outcomes, with attitude toward use emerging as the strongest predictor. In contrast, behavioral intention to use did not show a significant effect. The multiple regression model revealed that the four TAM constructs collectively explained 55.7% of the variance in learning outcomes. These findings affirm that students’ positive perceptions of JASP have a tangible impact on academic achievement and support the effectiveness of the application as a learning tool for statistics in the PGSD context.

Alnagrat, A. J. A., Ahmed, K. M. S., Alkhallas, M. I., Almakhzoom, O. A. I., & Syed Idrus, S. Z. S. (2023). Virtual laboratory learning experience in engineering: An extended Technology Acceptance Model (TAM). 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), 978–983. IEEE. https://doi.org/10.1109/MI-STA57575.2023.10169123

Amahan, P. A., & Amahan, E. C. (2023). An analysis of student’s reception in an online learning platform (OLP) using the Technology Acceptance Model (TAM). International Journal of Educational Research & Social Sciences, 4(1), 112–118. https://doi.org/10.51601/ijersc.v4i1.581

Bhattarai, S., & Maharjan, S. (2020). Determining the factors affecting on digital learning adoption among the students in Kathmandu Valley: An application of Technology Acceptance Model (TAM). International Journal of Engineering and Management Research, 10(3), 131–141. https://doi.org/10.31033/ijemr.10.3.20

Blomberg, P. (2025). Preparing prospective primary school teachers in teaching informal statistical inference. NOMAD Nordic Studies in Mathematics Education, 30(1), 59–82. https://doi.org/10.7146/nomad.v30i1.152931

Estrella, S., Olfos, R., & Mena Lorca, A. (2015). Pedagogical knowledge of statistics content among primary school teachers [El conocimiento pedagógico del contenido de estadística en profesores de primaria]. Educação e Pesquisa, 41(2), 477–493. https://doi.org/10.1590/S1517-97022015041858

Gaviria Bedoya, J. A., González Gómez, D., Parra Zapata, M. M., & Villa Ochoa, J. A. (2022). Attitudes towards statistics and statistical reasoning of teachers in training. Acta Scientiae (Canoas), 24(6), 206–235. https://doi.org/10.17648/acta.scientiae.7262

Ghazali, M., Zohri, M., Lestari, J., Purnamasari, R., & Fitriati, I. (2023). Transformasi kemampuan analisis statistik mahasiswa UIN Mataram melalui pelatihan software JASP. ABSYARA: Jurnal Pengabdian Pada Masyarakat, 4(2), 184–192. https://doi.org/10.29408/ab.v4i2.22540

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.

Leavy, A. M., Hourigan, M., Murphy, B., & Yilmaz, N. (2021). Malleable or fixed? Exploring pre service primary teachers’ attitudes towards statistics. International Journal of Mathematical Education in Science and Technology, 52(3), 427–451. https://doi.org/10.1080/0020739X.2019.1688405

Li, R. (2021). The application of JASP data visualization in blended foreign language teaching. Advances in Educational Technology and Psychology, 5, 37–45.

Lumba, E. (2012). Kajian Model Pembelajaran E-Learning Sebagai Enabler Dalam Meningkatkan Kreativitas Belajar Dan Kompetensi TIK Mahasiswa. Jurnal Teknik dan Ilmu Komputer.

Mohamad, M. A., Amron, M. T., & Md Noh, N. H. (2022). Assessing the acceptance of E-Learning via Technology Acceptance Model (TAM). 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 1–5. https://doi.org/10.1109/ICRAIE52900.2021.9704019

Mustafa, A. S., & Garcia, M. B. (2021). Theories integrated with Technology Acceptance Model (TAM) in online learning acceptance and continuance intention: A systematic review. 2021 1st Conference on Online Teaching for Mobile Education (OT4ME), 1–5. https://doi.org/10.1109/OT4ME53559.2021.9638934

Nasir, A. M. (2016). Statistik Pendidikan. Yogyakarta: Media Akademi

Nasir, A. M. (2025). Dampak Pembelajaran Berbasis Proyek terhadap Pemahaman Konsep Statistika Mahasiswa PGSD UNM. EQUALS: Jurnal Ilmiah Pendidikan Matematika, 8(1), 63-73. https://doi.org/10.46918/equals.v8i1.2741

Rosyidah, A. N. (2020). Pemanfaatan teknologi informasi sebagai mediasi pengaruh kepemimpinan transformasional dan kreativitas terhadap prestasi siswa pada SMA NU 1 Gresik (Skripsi, Universitas Islam Negeri Maulana Malik Ibrahim Malang). Universitas Islam Negeri Maulana Malik Ibrahim Malang.

Subekti, E. E., Cahyadi, F., & Fajriah, K. (2017). Multimedia pembelajaran berbasis Camtasia Studio dalam mata kuliah Matematika 1 untuk mahasiswa PGSD. Journal of Medives, 1(2), 134–140.

Sukackė, V. (2019). Towards extending the original Technology Acceptance Model (TAM) for a better understanding of educational technology adoption [Conference paper]. Society Integration Education Proceedings of the International Scientific Conference, 5, 525–549. https://doi.org/10.17770/sie2019vol5.3798

Wati, Lisa. (2023). Comparison PAPI and CAPI methods in data collection : an application of technology acceptance model (TAM). Journal of Informatics and Communication Technology (JICT), 5(1), 23–30. https://doi.org/10.52661/j_ict.v5i1.153