Analisis Kemampuan Berpikir Komputasi Studi Kasus Mahasiswa Jurusan STEM

Authors

  • Wahyu Amal Imran Universitas Negeri Makassar, Jl. A.P. Pettarani, Makassar, 90222, Indonesia Author
  • Muh Rezky Awal Universitas Negeri Makassar, Jl. A.P. Pettarani, Makassar, 90222, Indonesia Author
  • Muarsiyah Waddah Universitas Negeri Makassar, Jl. A.P. Pettarani, Makassar, 90222, Indonesia Author
  • Aprilianti Nirmala S Universitas Negeri Makassar, Jl. A.P. Pettarani, Makassar, 90222, Indonesia Author

Keywords:

Berpikir Komputasional, Mahasiswa STEM, Kurikulum, Akses teknologi, Partisipasinya proyek

Abstract

Berpikir komputasional merupakan kemampuan penting dalam pemecahan masalah yang tidak terbatas pada pemrograman komputer saja. Di era perkembangan teknologi yang pesat, penguasaan kemampuan ini menjadi sangat krusial khususnya bagi mahasiswa di bidang ilmu pengetahuan, teknologi, rekayasa, dan matematika (STEM). Penelitian ini bertujuan untuk mengukur tingkat kemampuan berpikir komputasional mahasiswa STEM serta mengidentifikasi faktor faktor yang memengaruhinya. Metode penelitian menggunakan pendekatan kuantitatif dengan desain cross
sectional, melalui penyebaran kuesioner untuk mengumpulkan data dari responden. Hasil penelitian menunjukkan bahwa sebagian besar mahasiswa memiliki kemampuan berpikir komputasional yang memadai. Faktor faktor yang berpengaruh signifikan meliputi partisipasi dalam kegiatan proyek, pemahaman konsep dasar komputasi, dan akses terhadap teknologi. Temuan ini mengindikasikan efektivitas kurikulum dan proses pembelajaran di jurusan STEM dalam membentuk kemampuan berpikir komputasional mahasiswa. Penelitian ini merekomendasikan pengembangan kurikulum yang lebih relevan dan kontekstual, peningkatan akses teknologi, serta peningkatan partisipasi mahasiswa dalam kegiatan proyek sebagai strategi untuk memperkuat kemampuan tersebut. Studi ini memberikan kontribusi penting bagi pengembangan pembelajaran di bidang STEM agar mahasiswa siap menghadapi tantangan karir di masa depan.

References

[1] R. A. Cahdriyana and R. Richardo, “Berpikir Komputasi Dalam Pembelajaran Matematika,” LITERASI (Jurnal Ilmu Pendidikan), vol. 11, no. 1, p. 50, 2020, doi: 10.21927/literasi.2020.11(1).50 56.

[2] C. P. Brackmann, J. Moreno Leo n, M. Roma n Gonza lez, A. Casali, G. Robles, and D. Barone, “Development of computational thinking skills through unplugged activities in primary school,” ACM Int. Conf. Proceeding Ser., no. November, pp. 65 72, 2017, doi: 10.1145/3137065.3137069.

[3] F. K. Cansu and S. K. Cansu, “An Overview of Computational Thinking,” Int. J. Comput. Sci. Educ. Sch., vol. 3, no. 1, pp. 17 30, 2019, doi: 10.21585/ijcses.v3i1.53.

[4] P. J. Denning, “The profession of IT: Beyond computational thinking,” Commun. ACM, vol. 52, no. 6, pp. 28 30, 2009, doi: 10.1145/1516046.1516054.

[5] A. Pertiwi and A. Pertiwi, “Konsep Informatika Dan Computational Thinking Di Dalam Kurikulum Sekolah Dasar, Menengah, Dan Atas,” Abdimasku J. Pengabdi. Masy., vol. 3, no. 3, p. 146, 2020, doi: 10.33633/ja.v3i3.53.

[6] S. Haines, M. Krach, A. Pustaka, Q. Li, and L. Richman, “The Effects of Computational Thinking Professional Development on STEM Teachers’ Perceptions and Pedagogical Practices,” Athens J. Sci., vol. 6, no. 2, pp. 97 122, 2019, doi: 10.30958/ajs.6 2 2.

[7] A. Zeb, . H., M. Ali, R. Baig, and S. Rahman, “Pre Operative Anxiety in Patients at Tertiary Care Hospital Peshawar Pakistan,” South Asian Res. J. Nurs. Healthc., vol. 01, no. 01, pp. 26

30, 2019, doi: 10.36346/sarjnhc.2019.v01i01.004.

[8] B. Lund, “The questionnaire method in systems research: an overview of sample sizes, response rates and statistical approaches utilized in studies,” VINE J. Inf. Knowl. Manag. Syst., vol. 53, no. 1, pp. 1 10, 2023, doi: 10.1108/VJIKMS 08 2020 0156.

[9] J. F. Hair, M. Sarstedt, L. Hopkins, and V. G. Kuppelwieser, “Partial least squares structural equation modeling (PLS SEM): An emerging tool in business research,” Eur. Bus. Rev., vol. 26, no. 2, pp. 106 121, 2014, doi: 10.1108/EBR 10 2013 0128.

[10] M. J. Tsai, J. C. Liang, and C. Y. Hsu, “The Computational Thinking Scale for Computer Literacy Education,” J. Educ. Comput. Res., vol. 59, no. 4, pp. 579 602, 2021, doi: 10.1177/0735633120972356.

[11] J. M. Wing, “Computational thinking,” Communications of the ACM, vol. 49, no. 3, pp. 33–35, Mar. 2006.

Journal of Innovation and Applied Education

[12] J. Selby and J. Woollard, “Computational thinking: The developing definition,” TechTrends, vol. 58, no. 6, pp. 52–57, Nov. 2014.

[13] M. Mingus and A. Grassl, “Algorithmic thinking and problem solving,” in Proc. Int. Conf. Computer Science Education, 2018, pp. 45–50.

[14] C. Czerkawski and K. Lyman, “Evaluation strategies in problem-solving processes,” Journal of Educational Technology, vol. 10, no. 2, pp. 70–75, 2019.

[15] J. Woollard, “Generalization in computational thinking,” International Journal of Computer Science Education, vol. 7, no. 1, pp. 15–22, 2016.

[16] A. Smith, “The role of abstraction in computer science education,” Computer Science Review, vol. 12, no. 3, pp. 45–50, 2017.

[17] B. Johnson and C. Lee, “Decomposition techniques for complex problem solving,” Journal of Computing, vol. 15, no. 4, pp. 110–115, 2018.

[18] R. Thompson and L. Carter, “Algorithmic thinking in secondary education,” Educational Research Journal, vol. 9, no. 2, pp. 89–95, 2019.

[19] D. Martinez and P. Gonzalez, “Continuous evaluation in problem solving,” Journal of Learning Analytics, vol. 5, no. 1, pp. 20–25, 2020.

[20] M. Adams, “Generalization skills in STEM education,” Science Education Quarterly, vol. 14, no. 2, pp. 60–66, 2018.

[21] S. Patel, “Challenges in teaching computational thinking,” International Journal of Computer Science, vol. 11, no. 1, pp. 33–38, 2021.

[22] L. Nguyen and T. Brown, “Gender differences in computational skills,” Journal of Education and Technology, vol. 8, no. 3, pp. 102–108, 2017.

[23] K. O’Neill, “The impact of age on learning algorithms,” Journal of Educational Psychology, vol. 13, no. 4, pp. 56–62, 2019.

[24] J. Chen and M. Xu, “Socioeconomic status and computational thinking development,” Education and Social Science Journal, vol. 7, no. 2, pp. 22–27, 2020.

[25] H. Garcia and F. Lopez, “Technology experience and learning anxiety,” Computers & Education, vol. 10, no. 5, pp. 99–105, 2019.

Downloads

Published

2025-10-08

Issue

Section

Articles

How to Cite

Analisis Kemampuan Berpikir Komputasi Studi Kasus Mahasiswa Jurusan STEM. (2025). Innovation and Applied Education Journal, 2(1), 46-55. https://journal.lontaradigitech.com/index.php/IAEJ/article/view/1076