Students’ Mathematical Critical Thinking Using Geogebra Software Based on Adversity Quotient

Authors

  • Fitri Alyani Universitas Muhammadiyah Prof.Dr.Hamka, Jakarta, Indonesia
  • Natalia Dinda Sartika Putri Universitas Muhammadiyah Prof.Dr.Hamka, Jakarta, Indonesia

DOI:

https://doi.org/10.23887/jpp.v55i3.47491

Keywords:

Adversity Quotient, Mathematical Critical Thinking Ability, GeoGebra Software

Abstract

The ability to think critically is not balanced with the optimal learning approach, to the low achievement of mathematical critical thinking ability (MCTA). Quasi-experimental research with a quantitative approach was used to determine the differences in learning using GeoGebra software for the experimental and the control class on MCTA in terms of adversity quotient (AQ). Class XI high school students in one of the schools in Jakarta as the research population, with sample students of 40 from the experimental class and 40 from the control class selected purposively. The instrument is based on an assessment of MCTA and an AQ questionnaire. The Mann-Whitney U Test, Spearman Correlation, and Cohen's d Effect Size were used to analyze the data. The results show the experimental class's MCTA is better than the control class. Based on Wright Maps, the AQ of climber-type students is dominated by the experiment class, while the control class dominates the quitter. The conclusion of this study, there are differences in the MCTA of the experimental class using GeoGebra software and the control class in terms of AQ.

References

Alkhateeb, M. A., & Al-Duwairi, A. M. (2019). The Effect of Using Mobile Applications (GeoGebra and Sketchpad) on the Students’ Achievement. International Electronic Journal of Mathematics Education, 14(3), 523–533. https://doi.org/10.29333/iejme/5754. DOI: https://doi.org/10.29333/iejme/5754

Alyani, F., & Zahra, R. (2020). Penerapan Rasch Model: Analisis Adversity Quotient Siswa dalam Matematika. Math Didactic: Jurnal Pendidikan Matematika, 6(2), 226–234. https://doi.org/https://doi.org/10.33654/math.v6i2.102. DOI: https://doi.org/10.33654/math.v6i2.1023

Anggraini, T. W., & Mahmudi, A. (2021). Exploring The Students’ Adversity Quotient in Online Mathematics Learning During The Covid-19 Pandemic. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 6(3), 221–238. https://doi.org/10.23917/jramathedu.v6i3.13617. DOI: https://doi.org/10.23917/jramathedu.v6i3.13617

Antara, I. G. W. S., Sudarma, I. K., & Dibia, I. K. (2020). The Assessment Instrument of Mathematics Learning Outcomes Based on HOTS Toward Two-Dimensional Geometry Topic. Indonesian Journal Of Educational Research and Review, 3(2), 19–24. https://doi.org/10.23887/ijerr.v3i2.25869. DOI: https://doi.org/10.23887/ijerr.v3i2.25869

Asmar, A., & Delyana, H. (2020). Hubungan Kemandirian Belajar Terhadap Kemampuan Berpikir Kritis Melalui Penggunaan Software Geogebra. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(2), 221–230. https://doi.org/10.24127/ajpm.v9i2.2758. DOI: https://doi.org/10.24127/ajpm.v9i2.2758

Batubara, I. H. (2019). Improving Student’s Critical Thinking Ability Through Guided Discovery Learning Methods Assisted by Geogebra. International Journal for Educational and Vocational Studies, 1(2), 116–119. https://doi.org/10.29103/ijevs.v1i2.1371. DOI: https://doi.org/10.29103/ijevs.v1i2.1371

Birgin, O., & Acar, H. (2020). The Effect of Computer-Supported Collaborative Learning Using GeoGebra Software on 11th Grade Students’ Mathematics Achievement in Exponential and Logarithmic Functions. International Journal of Mathematical Education in Science and Technology, 0(0), 1–18. https://doi.org/10.1080/0020739X.2020.1788186. DOI: https://doi.org/10.1080/0020739X.2020.1788186

Brown, N. J. S., Furtak, E. M., Timms, M., Nagashima, S. O., & Wilson, M. (2010). The Evidence-Based Reasoning Framework: Assessing Scientific Reasoning. Educational Assessment, 15(3), 123–141. https://doi.org/10.1080/10627197.2010.530551. DOI: https://doi.org/10.1080/10627197.2010.530551

Chasanah, A. N. (2019). Cognitive Growth Learning Model to Improve the Students’ Critical Thinking Skills. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 4(2), 112–123. https://doi.org/10.23917/jramathedu.v4i2.8127. DOI: https://doi.org/10.23917/jramathedu.v4i2.8127

Delina, D., Afrilianto, M., & Rohaeti, E. E. (2018). Kemampuan Berpikir Kritis Matematis dan Self Confidence Siswa SMP Melalui Pendekatan Realistic Mathematic Education. JPMI (Jurnal Pembelajaran Matematika Inovatif), 1(3), 281. https://doi.org/10.22460/jpmi.v1i3.p281-288. DOI: https://doi.org/10.22460/jpmi.v1i3.p281-288

Dhayanti, D., Johar, R., & Zubainur, C. M. (2018). Improving Students’ Critical and Creative Thinking Through Realistic Mathematics Education using Geometer’s Sketchpad. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 3(1), 25. https://doi.org/10.23917/jramathedu.v3i1.5618. DOI: https://doi.org/10.23917/jramathedu.v3i1.5618

Dockendorff, M., & Solar, H. (2018). ICT integration in mathematics initial teacher training and its impact on visualization: the case of GeoGebra. International Journal of Mathematical Education in Science and Technology, 49(1), 66–84. https://doi.org/10.1080/0020739X.2017.1341060. DOI: https://doi.org/10.1080/0020739X.2017.1341060

Dolapcioglu, S., & Doğanay, A. (2020). Development of critical thinking in mathematics classes via authentic learning: an action research. International Journal of Mathematical Education in Science and Technology. https://doi.org/10.1080/0020739X.2020.1819573. DOI: https://doi.org/10.1080/0020739X.2020.1819573

Faradillah, A., & Febriani, L. (2021). Mathematical Trauma Students’ Junior High School Based on Grade and Gender. Infinity Journal, 10(1), 53. https://doi.org/10.22460/infinity.v10i1.p53-68. DOI: https://doi.org/10.22460/infinity.v10i1.p53-68

Hastuti, T. D., Sari, D. R., & Riyadi. (2018). Student Profile with High Adversity Quotient in Math Learning. Journal of Physics: Conference Series, 983(1). https://doi.org/10.1088/1742-6596/983/1/012131. DOI: https://doi.org/10.1088/1742-6596/983/1/012131

Hernández, A., Perdomo-Díaz, J., & Camacho-Machín, M. (2020). Mathematical understanding in problem solving with GeoGebra: a case study in initial teacher education. International Journal of Mathematical Education in Science and Technology, 51(2), 208–223. https://doi.org/10.1080/0020739X.2019.1587022. DOI: https://doi.org/10.1080/0020739X.2019.1587022

Hidayah, S. R., Trapsilasiwi, D., & Setiawani, S. (2016). Proses Berpikir Kritis Siswa Kelas VII F Mts. Al-Qodiri 1 Jember dalam Pemecahan Masalah Matematika Pokok Bahasan Segitiga dan Segi Empat ditinjau dari Adversity Quotient. Jurnal Edukasi, 3(3), 21. https://doi.org/10.19184/jukasi.v3i3.3517. DOI: https://doi.org/10.19184/jukasi.v3i3.3517

Hidayat, W., & Sari, V. T. A. (2019). Kemampuan Berpikir Kritis Matematis dan Adversity Quotient Siswa SMP. Jurnal Elemen, 5(2), 242. https://doi.org/10.29408/jel.v5i2.1454. DOI: https://doi.org/10.29408/jel.v5i2.1454

Hidayat, W., Wahyudin, & Prabawanto, S. (2018). The Mathematical Argumentation Ability and Adversity Quotient (AQ) of Pre-service Mathematics Teacher. Journal on Mathematics Education, 9(2), 239–248. https://doi.org/10.22342/jme.9.2.5385.239-248. DOI: https://doi.org/10.22342/jme.9.2.5385.239-248

Ishartono, N., Nurcahyo, A., Waluyo, M., Prayitno, H. J., & Hanifah, M. (2022). Integrating GeoGebra into The Flipped Learning Approach to Improve Students’ Self-Regulated Learning During The Covid-19 Pandemic. Journal on Mathematics Education, 13(1), 69–86. https://doi.org/10.22342/jme.v13i1.pp69-86. DOI: https://doi.org/10.22342/jme.v13i1.pp69-86

Krishnan, P. (2018). A review of the non-equivalent control group post-test-only design. Nurse Reasearcher, 26(2), 37–40. https://doi.org/10.7748/nr.2018.e1582. DOI: https://doi.org/10.7748/nr.2018.e1582

Maulyda, M. A., Hidayanto, E., & Rahardjo, S. (2019). Representation of Trigonometry Graph Function Colage Students Using GeoGebra. International Journal of Trends in Mathematics Education Research, 2(4), 193–196. https://doi.org/10.33122/ijtmer.v2i4. DOI: https://doi.org/10.33122/ijtmer.v2i4.100

Muntazhimah, Putri, S., & Khusna, H. (2020). Rasch Model untuk Memvalidasi Instrumen Resiliensi Matematis Mahasiswa Calon Guru Matematika. JKPM (Jurnal Kajian Pendidikan Matematika), 6(1), 65. https://doi.org/10.30998/jkpm.v6i1.8144. DOI: https://doi.org/10.30998/jkpm.v6i1.8144

Oliveros, J. C. (2014). Adversity Quotient and Problem-solving Skills in Advanced Algebra. JPAIR Multidisciplinary Research, 1(17). https://doi.org/10.7719/jpair.v17i1.282. DOI: https://doi.org/10.7719/jpair.v17i1.282

Ölmez, İ. B., & Ölmez, S. B. (2019). Validation of The Math Anxiety Scale with The Rasch Measurement Model. Mathematics Education Research Journal, 31(1), 89–106. https://doi.org/10.1007/s13394-018-0244-8. DOI: https://doi.org/10.1007/s13394-018-0244-8

Pangma, R., Tayraukham, S., & Nuangchale, P. (2009). Causal Factors Influencing Adversity Quotient of Twelfth Grade and Third-Year Vocational Students. Journal of Social Sciences, 5(4), 466–470. https://doi.org/10.3844/jssp.2009.466.470. DOI: https://doi.org/10.3844/jssp.2009.466.470

Paul, R., & Elder, L. (2019). The Miniature Guide to Critical Thinking Concepts & Tools. Rowman & Littlefield.

Phoolka, S., & Kaur, N. (2012). Adversity Quotient: A New Paradigm to Explore. International Journal of Contemporary Business Studies, 3(4), 227-44.

Purwasih, R. (2020). Kemampuan Berpikir Kreatif Matematis Siswa SMP dalam Menyelesaikan Soal Pemecahan Masalah Ditinjau Dari Adversity Quotient Tipe Climber. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 8(2), 323–332. https://doi.org/https://doi.org/10.24127/ajpm.v8i2.2118. DOI: https://doi.org/10.24127/ajpm.v8i2.2118

Puspitasari, I. W., Fauzan, G. A., & Bernard, M. (2016). Software Geogebra Untuk Meningkatkan Kemampuan Berpikir Logis Matematik Siswa SMP. Journal On Education, 01(04), 679–687.

Rahayu, N., & Alyani, F. (2020). Kemampuan Berpikir Kritis Matematis ditinjau dari Adversity Quotient. Prima: Jurnal Pendidikan Matematika, 4(2), 121. https://doi.org/10.31000/prima.v4i2.2668. DOI: https://doi.org/10.31000/prima.v4i2.2668

Rohaeti, E. E., & Bernard, M. (2018). the Students’ Mathematical Understanding Ability Through Scientific-Assisted Approach of Geogebra Software. Infinity Journal, 7(2), 165. https://doi.org/10.22460/infinity.v7i2.p165-172. DOI: https://doi.org/10.22460/infinity.v7i2.p165-172

Sawilowsky, S. S. (2009). Very large and huge effect sizes. Journal of Modern Applied Statistical Methods, 8(2), 597–599. https://doi.org/10.22237/jmasm/1257035100. DOI: https://doi.org/10.22237/jmasm/1257035100

Soheila, B., & Rosemaliza, K. (2018). The Intention to Use GeoGebra in the Teaching of Mathematics among Malaysian Teachers. Malaysian Online Journal of Educational Technology, 6(1), 109–115.

Stoltz, P. G. (2000). Adversity Quotoient, Mengubah Hambatan Menjadi Peluang (T. Hermaya (ed.); I). PT Gramedia Widiasarana Indonesia.

Sumintono, B., & Widhiarso, W. (2014). Aplikasi Model Rasch untuk Penelitian Ilmu-Ilmu Sosial (Edisi Revisi). Trim Komunikata Publishing House.

Supandi, M., & Senam, S. (2020). Development of Science Learning Media-Based Local Wisdom Batui to Improve Critical Thinking Ability. Jurnal Pendidikan Dan Pengajaran, 52(3), 163–171. https://doi.org/10.23887/jpp.v52i3.18149.

Suryaningrum, C. W., Purwanto, Subanji, Susanto, H., Ningtyas, Y. D. W. K., & Irfan, M. (2020). Semiotic Reasoning Emerges in Constructing Properties of a Recyangle : A Study of Adversity Quotient. Journal on Mathematics Education, 11(1), 95–110. https://doi.org/http://doi.org/10.22342/jme.11.1.9766.95-110. DOI: https://doi.org/10.22342/jme.11.1.9766.95-110

Syafitri, Q., Mujib, M., Netriwati, N., Anwar, C., & Wawan, W. (2018). The Mathematics Learning Media Uses Geogebra on the Basic Material of Linear Equations. Al-Jabar : Jurnal Pendidikan Matematika, 9(1), 9. https://doi.org/10.24042/ajpm.v9i1.2160. DOI: https://doi.org/10.24042/ajpm.v9i1.2160

Wahyuni, M. (2020). Statistik Deskriptif Untuk Penelitian Olah Data Manual dan SPSS 25. CV. Bintang Surya Madani.

Wechsler, S. M., Saiz, C., Rivas, S. F., Vendramini, C. M. M., Almeida, L. S., Mundim, M. C., & Franco, A. (2018). Creative and Critical Thinking: Independent or Overlapping Components? Thinking Skills and Creativity, 27(November 2017), 114–122. https://doi.org/10.1016/j.tsc.2017.12.003. DOI: https://doi.org/10.1016/j.tsc.2017.12.003

Wulandari, I. P. (2020). Critical Thinking Ability in Terms of Adversity Quotient on DAPIC Problem Solving Learning. UJMER: Unnes Journal of Msthematics Education Research, 9(1), 52–59.

Yanti, A. P., Koestoro, B., & Sutiarso, S. (2018). The Students’ Creative Thinking Process Based On Wallas Theory In Solving Mathematical Problems Viewed From Adversity Quotient/Type Climbers. Al-Jabar : Jurnal Pendidikan Matematika, 9(1), 51. https://doi.org/10.24042/ajpm.v9i1.2331. DOI: https://doi.org/10.24042/ajpm.v9i1.2331

Yurniwati, & Soleh, D. A. (2020). The effectiveness of computer-based problem solving to improve higher order thinking skills on prospective teachers. International Journal of Instruction, 13(2), 393–406. https://doi.org/10.29333/iji.2020.13227a. DOI: https://doi.org/10.29333/iji.2020.13227a

Downloads

Published

2022-12-12

How to Cite

Alyani, F., & Putri, N. D. S. (2022). Students’ Mathematical Critical Thinking Using Geogebra Software Based on Adversity Quotient. Jurnal Pendidikan Dan Pengajaran, 55(3), 562–575. https://doi.org/10.23887/jpp.v55i3.47491

Issue

Section

Articles