In Between Code and Knowledge Exploring Students' Computational Thinking in Analyzing Arabic Texts

Authors

  • Ahmad Faisal Zam Ani UIN Sunan Ampel Surabaya
  • Muhammad Thohir UIN Sunan Ampel Surabaya
  • Moch. Qomaruddin UIN Sunan Ampel Surabaya
  • Arina Fadlilatar Rifqi UIN Sunan Ampel Surabaya
  • Intan Nur Fauziah Saputri UIN Maulana Malik Ibrahim

DOI:

https://doi.org/10.30762/asalibuna.v8i02.2845

Keywords:

Arabic Learning, Computational Thinking;, Arabic Language Education, Exploration;, Computational Thinking; , Arabic Text, Berpikir Komputasi, Eksplorasi;

Abstract

Computational thinking has become a crucial skill in the 21st century, particularly in fostering critical thinking and problem-solving abilities. In their research, the Arabic Language teacher for Grade X Religion 1 at MAN 2 Banyuwangi has employed computational thinking skills in teaching Arabic text. This article aims to investigate students' computational thinking in analyzing Arabic texts. The research methodology employed a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. Data analysis utilized the qualitative analysis technique, specifically the interactive model version by Miles, Huberman, and Saldana. The research findings indicate that among the 32 students in Grade X Religion 1, all demonstrated 100% proficiency in the decomposition indicator with 32 students. In the pattern recognition stage 72% with 23 students demonstrated proficiency. Meanwhile, in the algorithmic thinking, abstraction, and generalization stages 16% with 5 students showed proficiency. Students with high computational thinking skills were able to meet all indicators, including decomposition, pattern recognition, algorithmic thinking, abstraction, and generalization. Students with moderate computational thinking skills fulfilled the decomposition and pattern recognition indicators, whereas those with low computational thinking skills only met the decomposition indicator. Thus, through the exploration of computational thinking, students are able to solve problems in analyzing Arabic text critically and creatively.

Downloads

Download data is not yet available.

References

Afyuddin, M. S., Muslimah, M., Kholis, M. N., & Rahmawati, R. D. (2023). Development of Tadris Al-’Arabiyyah Al-Mukatssaf (TAM) Textbook, Based on Contextual Teaching and Learning (CTL). Asalibuna, 7(01), 1–17. https://doi.org/10.30762/asalibuna.v7i01.1084

Albert Henry Jacoby. (2019). Computational Thinking in Elementary Schools: A Case Study. In Journal of Wind Engineering and Industrial Aerodynamics (Vol. 26, Issue 1).

Angeli, C., & Giannakos, M. (2020). Computational Thinking Education: Issues And Challenges. In Computers In Human Behavior. Elsevier Ltd., 105, 1–8. https://doi.org/10.1016/j.chb.2019.106185

Beecher, K. (n.d.). Computational Thinking: A beginner’s guide to problem-solving and programing (Issue september 2016). BCS Learning & Development Ltd,.

Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational Thinking: A Guide for Teachers. Computing At School, October 2018, 18.

CSTA, & ISTE. (2011). Operational definition of computational thinking. In National Science Foundation (p. 1). https://id.iste.org/docs/ct-documents/computational-thinking-operational-definition-flyer.pdf?sfvrsn=2

Dagienė, V., & Sentence, S. (2016). It’s computational thinking! bebras tasks in the curriculum. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9973 LNCS, 28–39. https://doi.org/10.1007/978-3-319-46747-4_3

Danindra, L. S., Masriyah, & Hanifah, U. (2022). Computational Thinking Processes of Junior High School Students in Solving Problems of Number Patterns in Terms of Gender Differences. SHS Web of Conferences, 149, 01012. https://doi.org/10.1051/shsconf/202214901012

Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017). Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance. Journal of Computers in Education, 4(4), 355–369. https://doi.org/10.1007/s40692-017-0090-9

Febriani, S. R. (2020). Analisis Implementasi Pembelajaran Bahasa Arab Di Sekolah Dasar : Hots , Mots , Lots ? Fak Sastra UNM, 20, 432–444.

Febriani, S. R., & Masyitah, S. (2019). Analisis Keterampilan Abad Ke-21 Dalam Proses Pembelajaran Bahasa Arab Di Sekolah Dasar. Prosiding Konferensi Nasional Bahasa Arab V, 551–558.

Febriani, S. R., Wargadinata, W., Syuhadak, S., & Ibrahim, F. M. A. (2020). Design of Arabic Learning for Senior High School in the 21st Century. Jurnal Al-Bayan: Jurnal Jurusan Pendidikan Bahasa Arab, 12(1), 1–21. https://doi.org/10.24042/albayan.v12i1.5886

Filiz Kalelioglu. (2018). Characteristics of Studies Conducted on Computational Thinking: A Content Analysis. In Myint Swe Khine (Ed.), Computational Thinking in the STEM Disciplines. Springer Internasional Publishing. https://doi.org/10.1007/978-3-319-93566-9

Haris, A. (2017). Teori Dasar Nahwu & Shorof Tingkat Pemula. In Al-Bidayah. Al-Bidayah. https://ia903106.us.archive.org/22/items/etaoin/Teori Dasar Nahwu Sharf Tingkat Pemula.pdf

Juldial, T. U. H., & Haryadi, R. (2024). Analisis Keterampilan Berpikir Komputasional dalam Proses Pembelajaran. Jurnal Basicedu, 8(1), 136–144. https://doi.org/10.31004/basicedu.v8i1.6992

Kale, U., Akcaoglu, M., Cullen, T., Goh, D., Devine, L., Calvert, N., & Grise, K. (2018). Computational What? Relating Computational Thinking to Teaching. TechTrends, 62(6), 574–584. https://doi.org/10.1007/s11528-018-0290-9

Litia, N., Sinaga, B., & Mulyono, M. (2023). Profil Berpikir Komputasi Siswa dengan Menggunakan Model Pembelajaran Problem Based Learning (PBL) Ditinjau dari Gaya Belajar di SMA N 1 Langsa. Jurnal Cendekia : Jurnal Pendidikan Matematika, 7(2), 1508–1518. https://doi.org/10.31004/cendekia.v7i2.2270

Lodi, M., & Martini, S. (2021). Computational Thinking , Between Papert and Wing Content courtesy of Springer Nature , terms of use apply . Rights reserved . 883–908.

Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, A. (2020). Computational Thinking Pemecahan Masalah di Abad Ke-21 (Issue December). Wade Group.

Maisaroh, D. S. (2022). تعليم مهارة الكلام باستراتيجية التعليم القائم على المشروع بالتفكير الحسابي) لدى الطالبات بمدرسة إحسان الفكر المتوسطة ماجلانج جاوى الوسطى. In جامعة مولانا مالك الأسلامية الحكومية مالانج.

Miles, M. B., Michael Huberman, A., & Saldana, J. (2014). Qualitative Data Analysis: A Methods Sourcebook, 3rd ed. Sage Publications, Inc. https://books.google.co.id/books?id=p0wXBAAAQBAJ&printsec=frontcover&hl=id#v=onepage&q&f=false

Nugrahani, F. (2014). Metode Penelitian Kualitatif dalam penelitian Pendidikan Bahasa (Vol. 1, Issue 1). Deepublish. http://e-journal.usd.ac.id/index.php/LLT%0Ahttp://jurnal.untan.ac.id/index.php/jpdpb/article/viewFile/11345/10753%0Ahttp://dx.doi.org/10.1016/j.sbspro.2015.04.758%0Awww.iosrjournals.org

Nuraini, F., Agustiani, N., & Mulyanti, Y. (2023). Analisis Kemampuan Berpikir Komputasi Ditinjau dari Kemandirian Belajar Siswa Kelas X SMK. Jurnal Cendekia : Jurnal Pendidikan Matematika, 7(3), 3067–3082. https://doi.org/10.31004/cendekia.v7i3.2672

OECD. (2018). The Future of Education and Skills Education 2030. OECD.

Pears, A., Tedre, M., Valtonen, T., & Vartiainen, H. (2021). What Makes Computational Thinking so Troublesome? Proceedings - Frontiers in Education Conference, FIE, 2021-Octob(August). https://doi.org/10.1109/FIE49875.2021.9637416

Rahmadhani, L. I. P., & Mariani, S. (2021). Kemampuan Komputasional Siswa dalam Memecahkan Masalah Matematika SMP Melalui Digital Project Based Learning Ditinjau dari Self Efficacy. PRISMA, Prosiding Seminar Nasional Matematika, 4, 289–297. https://journal.unnes.ac.id/sju/index.php/prisma/

Ramadhanti Febriani, S., & Bedra, K. G. (2023). Design of Arabic Learning Based on the Merdeka Curriculum through PJBL for Islamic Senior High School. Asalibuna, 7(01), 1–9. https://doi.org/10.30762/asalibuna.v7i01.865

Razin, A., & Razin, U. (2015). Buku Nahwu Pemula. In Ilmu Nahwu Untuk Pemula. Pustaka BISA. 1. Razin, A. & Razin, U. Buku Nahwu Pemula. (2015).

Ridwan, R., & Awaluddin, A. F. (2019). Penerapan Metode Bernyanyi Dalam Meningkatkan Penguasaan Mufradat Dalam Pembelajaran Bahasa Arab Di Raodhatul Athfal. In DIDAKTIKA : Jurnal Kependidikan (Vol. 13, Issue 1, pp. 56–67). https://doi.org/10.30863/didaktika.v13i1.252

Riley, D. D., & Hunt, K. A. (2014). Computational Thinking For The Modern Problem Solver. CRC Press is an imprint of Taylor & Francis Group, an Informa business.

Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in Human Behavior, 72, 678–691. https://doi.org/10.1016/j.chb.2016.08.047

Setiawan, C. E., & Ahsan. (2020). ARAH PERENCANAAN PEMBELAJARAN BAHASA ARAB ABAD 21. Jurnal Komunikasi Dan Pendidikan Islam, 9(1), 55–82.

Sezer, H. B. (2022). The Integration of Computational Thinking in Mathematics Education: The Current State of Practices in School, Outreach, and Public Educational Settings. Electronic Thesis and Dissertation Repository, 1, 39. https://ir.lib.uwo.ca/etdhttps://ir.lib.uwo.ca/etd/8498

Utami, S. (2023). Innovation of Mahārah Qirō’ah Assessment Based on Language Tests in The Book Al-Qirō’ah Al-Rosyīdah. Arabia: Jurnal Pendidikan Bahasa Arab, 15(1), 93–108.

Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118

Downloads

Published

2024-09-18

How to Cite

Ani, A. F. Z. ., Thohir, M. ., Qomaruddin, M. ., Rifqi, A. F. ., & Saputri, I. N. F. . (2024). In Between Code and Knowledge Exploring Students’ Computational Thinking in Analyzing Arabic Texts. Asalibuna, 8(02), 1–17. https://doi.org/10.30762/asalibuna.v8i02.2845