ANALISIS HAMBATAN BELAJAR MAHASISWA CALON GURU SEKOLAH DASAR PADA MATAKULIAH STATISTIK

https://doi.org/10.30605/pedagogy.v10i2.6146

Authors

  • Agusalim Juhari Universitas Negeri Makassar
  • Rahmawati Patta Universitas Negeri Makassar
  • St. Habibah Universitas Negeri Makassar
  • Asmayani Asmayani Universitas Pejuang Republik Indonesia

Keywords:

Hambatan Belajar, Statistik, Calon Guru SD

Abstract

Statistik merupakan kompetensi penting yang harus dikuasai oleh calon guru Sekolah Dasar (SD) untuk mendukung pengambilan keputusan berbasis data dalam pembelajaran. Namun, hambatan belajar statistik masih menjadi tantangan serius bagi mahasiswa Program Studi Pendidikan Guru Sekolah Dasar (PGSD). Penelitian ini bertujuan untuk mengidentifikasi tingkat hambatan belajar statistik serta mengungkap faktor-faktor penyebabnya dan memahami pengalaman serta persepsi mahasiswa terhadap pembelajaran statistik. Pendekatan penelitian menggunakan mixed methods dengan model deskriptif kuantitatif dan kualitatif. Penelitian ini melibatkan 71 mahasiswa Penelitian ini melibatkan 71 mahasiswa dari dua kelas yang tengah menempuh mata kuliah Statistik Dasar pada semester genap tahun akademik 2024/2025 di Program Studi PGSD Universitas Negeri Makassar. Kedua kelas yang dipilih untuk penelitian ini diampu oleh dua dosen yang berbeda. Instrumen penelitian meliputi angket tertutup berbasis skala Likert dan angket terbuka, dengan validitas instrumen diuji menggunakan metode Gregory. Data kuantitatif dianalisis secara deskriptif, sedangkan data kualitatif dianalisis menggunakan analisis tematik dan triangulasi sumber melalui wawancara dosen pengampu. Hasil penelitian menunjukkan bahwa hambatan terbesar terdapat pada dimensi kognitif dengan kategori tinggi, sedangkan hambatan afektif berada pada kategori sedang, dan hambatan pada dimensi metode serta teknologi tergolong rendah. Faktor penyebab utama hambatan adalah kesulitan memahami konsep dasar statistik, keterbatasan dalam interpretasi data, serta kecemasan terhadap angka dan rumus. Mahasiswa juga menilai pembelajaran statistik yang diterima masih bersifat abstrak dan kurang aplikatif, serta mengusulkan penerapan pembelajaran berbasis masalah dan penggunaan teknologi yang lebih intensif. Penelitian ini memberikan implikasi penting bagi pengembangan strategi pembelajaran statistik yang lebih kontekstual dan inovatif untuk meningkatkan kompetensi calon guru SD.

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References

Ahmaddien, I., & Syarkani, Y. (2019). Statistika Terapan dengan Sistem SPSS. ITB Press. https://doi.org/10.31237/OSF.IO/9S7VH
Briyan, Y., Mendrofa, V., & Surbakti, A. B. (2023). Analisis Hambatan Belajar Mahasiswa pada Mata Kuliah Statistik. INSOLOGI: Jurnal Sains Dan Teknologi, 2(6), 1131–1136. https://doi.org/10.55123/INSOLOGI.V2I6.2851
Chance, B., Ben-Zvi, D., Garfield, J., & Medina, E. (2007). The Role of Technology in Improving Student Learning of Statistics. Technology Innovations in Statistics Education, 1(1). https://doi.org/10.5070/T511000026
Chew, P. K. H., & Dillon, D. B. (2014). Statistics Anxiety Update: Refining the Construct and Recommendations for a New Research Agenda. Perspectives on Psychological Science, 9(2), 196–208. https://doi.org/10.1177/1745691613518077/SUPPL_FILE/CHEW_SUPPLEMENTAL_MATERIAL.PDF
Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.
Dewi, N. R., Yusmaniar, R., Putra, R. W. Y., Alhaq, A., & Suri, F. I. (2024). ANALISIS LEARNING OBSTACLE MATERI STATISTIKA PADA MATA KULIAH PEMBELAJARAN MATEMATIKA SMP/MTs. TEACHING : Jurnal Inovasi Keguruan Dan Ilmu Pendidikan, 4(2), 76–80. https://doi.org/10.51878/TEACHING.V4I2.2992
Firmansyah, M. A. (2017). ANALISIS HAMBATAN BELAJAR MAHASISWA PADA MATA KULIAH STATISTIKA. Jurnal Penelitian Dan Pembelajaran Matematika, 10(2). https://doi.org/10.30870/JPPM.V10I2.2036
Gal, I. (2002). Adults’ Statistical Literacy: Meanings, Components, Responsibilities. International Statistical Review, 70(1), 1–25. https://doi.org/10.1111/J.1751-5823.2002.TB00336.X
Garfield, J. B., Ben-Zvi, D., Chance, B., Medina, E., Roseth, C., & Zieffler, A. (2008). Developing students’ statistical reasoning: Connecting research and teaching practice. In Developing Students’ Statistical Reasoning: Connecting Research and Teaching Practice. Springer Netherlands. https://doi.org/10.1007/978-1-4020-8383-9/COVER
Ginanto, D., Kesuma, A. T., Anggraena, Y., & Setiyowati, D. (2024). Panduan Pembelajaran dan Asesmen Pendidikan Anak Usia Dini, Pendidikan Dasar, dan Pendidikan Menengah Edisi Revisi Tahun 2024. Badan Standar, Kurikulum, dan Asesmen Pendidikan (BSKAP) Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.
Gregory, R. J. (2007). Psychological testing : history, principles, and applications 5th Edition. Allyn & Bacon.
Gunadi, F., Herman, T., & Prabawanto, S. (2022). Students’ Learning Obstacle in Solving Statistical Reasoning Problems: Epistemological Study. Gema Wiralodra, 13(1), 285–294. https://doi.org/10.31943/GEMAWIRALODRA.V13I1.213
Huberman, M., & Miles, M. B. (2002). The Qualitative Researcher’s Companion . Sage Publications.
Lai, G., & Li, L. (2018). Students’ Perceptions of Technology-Enhanced Pedagogy in Their Statistics Learning. Frontiers in Education Technology, 1(1), 70. https://doi.org/10.22158/FET.V1N1P70
Lesser, L. M., & Pearl, D. K. (2008). Functional Fun in Statistics Teaching: Resources, Research and Recommendations. Journal of Statistics Education, 16(3). https://doi.org/10.1080/10691898.2008.11889572
Maysani, R., & Pujiastuti, H. (2020). ANALISIS KESULITAN MAHASISWA DALAM MATA KULIAH STATISTIKA DESKRIPTIF. Al Khawarizmi: Jurnal Pendidikan Dan Pembelajaran Matematika, 4(1), 32–49. https://doi.org/10.22373/JPPM.V4I1.6949
OECD. (2019). An OECD Learning Framework 2030. In G. Bast, E. G. Carayannis, & D. F. J. Campbell (Eds.), The Future of Education and Labor (pp. 23–35). Springer International Publishing. https://doi.org/10.1007/978-3-030-26068-2_3
Onwuegbuzie, A. J., & Wilson, V. A. (2003). Statistics Anxiety: Nature, etiology, antecedents, effects, and treatments--a comprehensive review of the literature. Teaching in Higher Education, 8(2), 195–209. https://doi.org/10.1080/1356251032000052447
Papousek, I., Ruggeri, K., MacHer, D., Paechter, M., Heene, M., Weiss, E. M., Schulter, G., & Freudenthaler, H. H. (2012). Psychometric Evaluation and Experimental Validation of the Statistics Anxiety Rating Scale. Journal of Personality Assessment, 94(1), 82–91. https://doi.org/10.1080/00223891.2011.627959
Paramita, C., Avondy, D. C., Yuny, & Damariswara, R. (2024). ANALISIS KESULITAN BELAJAR MATERI STATISTIKA PADA MAHASISWA PGSD KELAS 1C. Didaktik : Jurnal Ilmiah PGSD STKIP Subang, 10(3), 254–364. https://doi.org/10.36989/DIDAKTIK.V10I3.3420
Rawa, N. R., & Yasa, P. A. E. M. (2018). KECEMASAN MATEMATIKA PADA MAHASISWA PENDIDIKAN GURU SEKOLAH DASAR. Journal of Education Technology, 2(2), 36–45. https://doi.org/10.23887/JET.V2I2.16180
Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Penerbit Alfabeta. https://digilib.stekom.ac.id/assets/dokumen/ebook/feb_35efe6a47227d6031a75569c2f3f39d44fe2db43_1652079047.pdf?utm_source=chatgpt.com
Uno, H. B. (2016). TEORI MOTIVASI DAN PENGUKURANNYA: Analisis di Bidang Pendidikan. Bumi Aksara.
Yusuf, Y., Titat, N., & Yuliawati, T. (2017). Analisis Hambatan Belajar (Learning Obstacle) Siswa SMP Pada Materi Statistika. AKSIOMA : Jurnal Matematika Dan Pendidikan Matematika, 8(1), 76–86. https://doi.org/10.26877/AKS.V8I1.1509
ZIEFFLER, A., GARFIELD, J., DELMAS, R., & READING, C. (2008). A FRAMEWORK TO SUPPORT RESEARCH ON INFORMAL INFERENTIAL REASONING5. STATISTICS EDUCATION RESEARCH JOURNAL, 7(2), 40–58. https://doi.org/10.52041/SERJ.V7I2.469

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Published

2025-06-06

How to Cite

Juhari, A., Patta, R., Habibah, S., & Asmayani, A. (2025). ANALISIS HAMBATAN BELAJAR MAHASISWA CALON GURU SEKOLAH DASAR PADA MATAKULIAH STATISTIK. Pedagogy: Jurnal Pendidikan Matematika, 10(2), 526–541. https://doi.org/10.30605/pedagogy.v10i2.6146

Issue

Vol. 10 No. 2 (2025): Pedagogy : Jurnal Pendidikan Matematika

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Articles

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