Published date: Apr 03 2024

Journal Title: KnE Social Sciences

Issue title: International Conference on Mathematics and Science Education (ICMScE 2022): Learning Materials and Modules

Pages: 9–18

DOI: 10.18502/kss.v9i8.15481

Sri Maryantisri.maryanti@uinsgd.ac.idBiology Education, Faculty of Tarbiyah and Teacher Training, Bandung State Islamic University, Indonesia

Ade Yeti NuryantiniPhysics Education, Faculty of Tarbiyah and Teacher Training, Bandung State Islamic University, Indonesia

Pina PitrianaPhysics Education, Faculty of Tarbiyah and Teacher Training, Bandung State Islamic University, Indonesia

Dede Trie KurniawanPGSD, Indonesian Education University Campus in Cibiru, Indonesia

This study aimed to explore the Computational Thinking (CT) ability of biology education students in artificial intelligence courses through code.org programming, an online programming software. Students were required to solve problems systematically and design systems with coding for beginners. The research method used a qualitative approach because it was based on observational data from computational media produced in accordance with artificial intelligence learning for education and based on CT indicators. The subjects of this study were 73 students of the Biology Education Study Program in 2021. How students responded to using the code.org platform was captured through a questionnaire distributed via a Google form. The results showed that students could follow each stage of educational game projects through the code.org platform to practice computational thinking skills in accordance with the success of the stages of doing simple projects through good, systematic and problem-solving coding. Student responses to the code.org platform as an online program tool that can hone computational thinking can provide creativity and enthusiasm for student learning. As evidenced by the questionnaire results, 63.3% of students strongly agree that this increases creativity.

Keywords: online programming, computational thinking, biological education, students

[1] Maryanti S, Hartati S, Kurniawan DT, Mukhtar SN. Development of Assessment For Learning (AFL) through the educandy application for middle school Biology learning. Journal of Natural Science and Integration. 2017;5(1):12–22.

[2] Sa’adah S, Maryanti S, Maspupah M, Mas’ud A. “Literasi digital mahasiswa calon guru biologi dalam menyusun bahan ajar berbasis audio visual.,” p. 2020.

[3] Wing JM. Computational thinking. Commun ACM. 2006;49(3):33–5.

[4] Rim H. A study on teaching using website’code.org’in programming education based on computational thinking. Journal of Korea Multimedia Society. 2017;20(2):382–95.

[5] Wing J. Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology. 2017;25(2):7–14.

[6] Barradas R, Lencastre JA, Soares S, Valente A. “Developing computational thinking in early ages: A review of the Code. org platform.,” p. 2020.

[7] Code.org. About | code.org [Internet]. 2021.

[8] Soendari T. Metode penelitian deskriptif. Bandung: UPI. Stuss, Magdalena & Herdan, Agnieszka; 2012

[9] Sugiyono AG. Memahami penelitian kualitatif. Bandung: CV Alfabeta; 2005.

[10] Malik S, Prabawa HW, Rusnayati H. Peningkatan kemampuan berpikir komputasi siswa melalui multimedia interaktif berbasis model quantum teaching and learning [Dissertation]. Bandung: Universitas Pendidikan Indonesia; 2017.

[11] Jonassen DH. Learning to solve problems: A handbook for designing problem-solving learning environments. Routledge; 2010. https://doi.org/10.4324/9780203847527.