Pelatihan Daring Jamovi sebagai Upaya Penguatan Literasi Statistik Mahasiswa
DOI:
https://doi.org/10.61220/Keywords:
Analisis statistik, Kepercayaan diri, Keterlibatan mahasiswa, Literasi data, Pelatihan JamoviAbstract
Pelatihan penggunaan Jamovi diselenggarakan untuk meningkatkan literasi data dan kompetensi analisis statistik mahasiswa Program Studi Pendidikan Teknik Informatika dan Komputer (PTIK) Universitas Negeri Makassar. Kegiatan ini bertujuan mengatasi rendahnya kepercayaan diri mahasiswa dalam menggunakan perangkat lunak statistik serta keterbatasan pengalaman praktis dalam pengolahan data. Penelitian menggunakan pendekatan kuantitatif dengan desain One-Group Posttest Only Evaluation, di mana data dikumpulkan melalui kuesioner posttest yang menilai empat aspek utama: Availability of Learning Materials (ALM), Accessibility and Connectivity (AC), Confidence (C), dan Participant Engagement (PE). Hasil evaluasi menunjukkan materi pelatihan sangat baik (ALM = 4,21), akses dan konektivitas baik (AC = 4,07), kepercayaan diri meningkat (C = 3,61), dan keterlibatan peserta tergolong baik (PE = 3,87). Pelatihan memberikan dampak nyata berupa peningkatan kemampuan analisis data, pengalaman praktik langsung, serta kesiapan mahasiswa untuk menerapkan Jamovi secara mandiri. Temuan ini menegaskan urgensi integrasi pelatihan berbasis praktik langsung dalam kurikulum pendidikan tinggi untuk memperkuat kompetensi digital, pemahaman statistik, dan kesiapan profesional mahasiswa.
References
Akpen, C. N., Asaolu, S., Atobatele, S., Okagbue, H., & Sampson, S. (2024). Impact of online learning on student’s performance and engagement: A systematic review. Discover Education, 3(1). https://doi.org/10.1007/s44217-024-00253-0
Arvey, R. D., Cole, D. A., Hazucha, J. F., & Hartanto, F. M. (1985). STATISTICAL POWER OF TRAINING EVALUATION DESIGNS. Personnel Psychology, 38(3), 493–507. https://doi.org/10.1111/j.1744-6570.1985.tb00556.x
Assaraf, O. B.-Z., & Orion, N. (2022). Development of system thinking skills in higher education through data-based inquiry. Journal of Science Education and Technology, 31(4), 543–557. https://consensus.app/papers/development-system-thinking-skills-higher-education-assaraf/02c266d6eb5452678d4a93bb6eae25b2/?utm_source=chatgpt
Bierer, S. B., & Dallaghan, G. L. B. (2025). Integrating open-source statistical software in medical education: The role of Jamovi in teaching applied biostatistics. Medical Science Educator, 35(2), 123–134. https://consensus.app/papers/integrating-opensource-statistical-software-medical-bierer/f45237255f165bf897db272502a780cf/?utm_source=chatgpt
Eluemuno, A. I., Nwikpo, M. N., & Ipem, J. N. (2025). Digital Instructions and Self-Directed Learning as Determinants of Academic Performance Amongst Higher Education Institutions’ Students (Heis). Journal of Counseling and Educational Research, 1(3), 123–135. https://doi.org/10.63203/jcerch.v1i3.172
Haerawan, H., Cale, W., & Barroso, U. (2024). The Effectiveness of Interactive Videos in Increasing Student Engagement in Online Learning. Journal of Computer Science Advancements, 2(5), 244–258. https://doi.org/10.70177/jsca.v2i5.1322
Krishnan, P. (2019). A review of the non-equivalent control group post-test-only design. Nurse Researcher, 26(2), 37–40. https://doi.org/10.7748/nr.2018.e1582
Meletiou-Mavrotheris, M., & Paparistodemou, E. (2023). Teaching statistics with technology: Fostering conceptual understanding through practical applications. International Journal of Educational Technology in Higher Education, 20(1), 45–62. https://consensus.app/papers/teaching-statistics-technology-fostering-conceptual-meletioumavrotheris/621d5cf9d3e1508fbe09c056c502dd0b/?utm_source=chatgpt
Milojevic-Dupont, N., & Creutzig, F. (2021). Machine learning for geographically differentiated climate change mitigation: An application to public buildings. Environmental Research Letters, 16(5), 054046. https://consensus.app/papers/machine-learning-geographically-differentiated-climate-milojevicdupont/74de040c4ce45b34b62a5ec366e2cf17/?utm_source=chatgpt
Prajveen, V. D., Debaroti, D., & Sanghasri, M. (2024). Impact of limited internet connectivity on online learning outcome of students. 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT), 1–6. https://doi.org/10.1109/ICITIIT61487.2024.10580570
Roy, R., & Al-Absy, M. S. M. (2022). Impact of Critical Factors on the Effectiveness of Online Learning. Sustainability, 14(21), 14073. https://doi.org/10.3390/su142114073
Tang, K. N., & Sae-Lim, P. (2023). Artificial intelligence and data analytics skills for future higher education graduates. Education and Information Technologies, 28(2), 2147–2164. https://consensus.app/papers/artificial-intelligence-data-analytics-skills-tang/864a5c930be055c88344b24b0fa1f9de/?utm_source=chatgpt
Vahey, P., Anghelache, V., & Conrad, R. (2023). Supporting data literacy in undergraduate education through interactive learning. Computers & Education, 191, 104662. https://consensus.app/papers/supporting-data-literacy-undergraduate-education-vahey/1d2e812eeb8d56a2a03aebae1b4db1bc/?utm_source=chatgpt
Wang, Y.-M., Chiou, C.-C., Wang, W.-C., & Chen, C.-J. (2021). Developing an Instrument for Assessing Self-Efficacy in Data Mining and Analysis. Frontiers in Psychology, 11, 614460. https://doi.org/10.3389/fpsyg.2020.614460
Yang, Y., Maeda, Y., & Gentry, M. (2024). The relationship between mathematics self-efficacy and mathematics achievement: Multilevel analysis with NAEP 2019. Large-Scale Assessments in Education, 12(1), 16. https://doi.org/10.1186/s40536-024-00204-z
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Copyright (c) 2025 Elma Nurjannah, Aprilianti Nirmala S, Mushaf, Della Fadhilatunisa, M. Miftach Fakhri (Author)
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