Penerapan Model Pembelajaran Mendalam Berbantuan Generative AI untuk Meningkatkan Pemahaman Algoritma Pemrograman Mata Pelajaran Informatika Siswa Kelas XI SMA Negeri 9 Pekanbaru

Ramadani Sinta; Alrian Rahmad; Ismanto Edi

doi:10.31004/green.v4i3.809

Authors

Ramadani Sinta Universitas Muhammadiyah Riau, Indonesia
Alrian Rahmad Universitas Muhammadiyah Riau, Indonesia
Ismanto Edi Universitas Muhammadiyah Riau, Indonesia

DOI:

https://doi.org/10.31004/green.v4i3.809

Keywords:

Pembelajaran Mendalam, Generative AI, Algoritma Pemrograman, Informatika

Abstract

Penelitian ini dilatarbelakangi oleh rendahnya pemahaman algoritma pemrograman siswa kelas XI SMA Negeri 9 Pekanbaru yang ditunjukkan oleh kesulitan dalam menganalisis masalah dan menyusun langkah-langkah algoritmik secara sistematis. Penelitian ini bertujuan untuk mendeskripsikan penerapan model pembelajaran mendalam berbantuan Generative AI, mengetahui tingkat pemahaman algoritma pemrograman siswa sebelum dan sesudah penerapan model, serta menganalisis peningkatan pemahaman algoritma pemrograman siswa. Metode yang digunakan adalah penelitian pre-eksperimen dengan desain One Group Pretest–Posttest Design yang melibatkan 37 siswa kelas XI 5 SMA Negeri 9 Pekanbaru. Hasil penelitian menunjukkan bahwa penerapan model pembelajaran mendalam berbantuan Generative AI terlaksana dengan baik melalui aspek meaningful learning, mindful learning, dan joyful learning. Nilai rata-rata pretest siswa sebesar 54,05 meningkat menjadi 92,16 pada posttest. Hasil uji N-Gain sebesar 0,8520 berada pada kategori tinggi dan hasil uji Wilcoxon menunjukkan nilai signifikansi 0,000 < 0,05. Disimpulkan bahwa penerapan model pembelajaran mendalam berbantuan Generative AI efektif dalam meningkatkan pemahaman algoritma pemrograman siswa pada mata pelajaran Informatika.

References

Adi Saputro, A., Asty Andreana, P., & Puspitasari, N. (2024). Seminar Nasional Amikom Surakarta (Semnasa) 2024 Analisis Penerapan Pembelajaran Berbasis Ai Sebagai Tutor Virtual Dalam Optimalisasi Kurikulum Pendidikan.

Alifah, A. H., & Widodo, S. (2024a). Membuka Kemampuan Computational Thinking Sebagai 21 Century Skills Disiplin Stem. Faktor: Jurnal Ilmiah Kependidikan, 11(1), 100–108.

Alifah, A. H., & Widodo, S. (2024b). Membuka Kemampuan Computational Thinking Sebagai 21 Century Skills Disiplin Stem. Jurnal Ilmiah Kependidikan, (1), 100–108. Https://Doi.Org/10.30998/Fjik.V11i1.21962

Anwar, M., & Sodik, H. (2025). Tafhim Al-’Ilmi : Jurnal Pendidikan Dan Pemikiran Islam Kerangka Konseptual Pembelajaran Mendalam (Deep Learning) Dan Implementasinya Dalam Pendidikan Di Indonesia (Vol. 17, Number 1).

Apriliyana, N. P. (2025). Transforming Education Through Deep Learning Design: Integrating Four Key Elements In School Practice. In Nur Pangesti Apriliyana (Vol. 03).

Assulamy, H., Disma, D. R. I., Sulistiyaningrum, F., Aunurrahman, A., & Warneri, W. (2024). Mata Pelajaran Informatika Dalam Kurikulum Merdeka Pada Pendidikan Kesetaraan. Jurnal Review Pendidikan Dan Pengajaran (Jrpp), 7(2), 4301–4308.

Astutik, S., Witria Ningsih, A., & Anjani, P. (2024). Manfaat Strategi Algoritma Pemrograman Dalam Kurikulum Merdeka. In Jurnal Pendidikan Anak Usia Dini Dan Kewarganegaraan (Vol. 1, Number 3).

Baihaqi, M. A., Prayitno, H. J., Ishartono, N., Hamranani, S. S. T., Putra, C. A., & Nizaar, M. (2025). Reimagining 21st-Century Higher Education: A Literature-Based Exploration Of Deep Learning For Cognitive, Social, And Emotional Skill Development. Journal Of Deep Learning, 139–168.

Brasoveanu, A., Moodie, M., & Agrawal, R. (2021). Textual Evidence For The Perfunctoriness Of Independent Medical Reviews. Ceur Workshop Proceedings, 2657, 1–9. Https://Doi.Org/10.1145/Nnnnnnn.Nnnnnnn

Chang, C.-C. (2025). Evaluating The Impact Of Generative Ai Tools On Learning Outcomes, Motivation, And Cooperation In Programming-Related Courses. In International Journal Of Education And Research (Vol. 13, Number 2). Www.Ijern.Com

Clarke-Midura, J., Lee, V. R., Shumway, J. F., Silvis, D., Kozlowski, J. S., & Peterson, R. (2023). Designing Formative Assessments Of Early Childhood Computational Thinking. Early Childhood Research Quarterly, 65, 68–80. Https://Doi.Org/Https://Doi.Org/10.1016/J.Ecresq.2023.05.013

Dodi Yudo Setyawan1, L. R. N. M. G. S. (2023a). Pelatihan Algoritma Dan Pemrograman Untuk Kompetisi Sains Nasional (Osn) Di Sman 1 Metro. Jurnal Pengabdian Kepada Masyarakat, 2, 6255–6260.

Dodi Yudo Setyawan1, L. R. N. M. G. S. (2023b). Pelatihan Algoritma Dan Pemrograman Untuk Kompetisi Sains Nasional (Osn) Di Sman 1 Metro.

Elsayed, S. (2023). Towards Mitigating Chatgpt’s Negative Impact On Education: Optimizing Question Design Through Bloom’s Taxonomy. Http://Arxiv.Org/Abs/2304.08176

Feri, M., Ismiati, N., Al-Nur, W. R., & Akbar, F. N. (2025). Implementing Deep Learning Approaches In Primary Education: A Literature Review. Jurnal Varidika, 178–195.

García-López, I. M., Ramírez-Montoya, M. S., & Molina-Espinosa, J. M. (2025a). Generative Artificial Intelligence In Education: A Systematic Analysis Of Opportunities, Challenges, And Responses. Interactive Learning Environments, 1–24.

García-López, I. M., Ramírez-Montoya, M. S., & Molina-Espinosa, J. M. (2025b). Generative Artificial Intelligence In Education: A Systematic Analysis Of Opportunities, Challenges, And Responses. Interactive Learning Environments, 1–24. Https://Doi.Org/10.1080/10494820.2025.2519133

Grizioti, M. (2025). Computational Thinking Beyond Coding: Exploring Student Computational Practices While Playing And Modifying A Socio-Scientific Simulation Game With Integrated Computational Tools. Educational Technology Research And Development, 73(4), 2251–2278. Https://Doi.Org/10.1007/S11423-025-10477-Y

Hamidah, S., Arista, R., Hakim, E. A., & Ariani, N. (2025). Deep Learning Pedagogy To Boost Motivation And Early Numeracy–Literacy In Indonesian Early Childhood Education. Research And Development In Education (Raden), 5(2), 922–937.

Hapizah, H., Mulyono, B., & Cahyawati, D. (2026). Fostering Students’ Computational Thinking: Student Worksheets On Integer Material. Infinity Journal, 15(1), 19–36. Https://Doi.Org/10.22460/Infinity.V15i1.P19-36

Hasanah, U., Prastiwi S, R., Arya W, L., & Yulian, D. (2025). International Journal Of Educational Technology And Society Implementation Of Deep Learning Approach In Indonesian Education. Https://Doi.Org/10.61132/Ijets.V2i2.358

Hidayat, J. J., Amin, M. D. I., Fitri, E. K., Anggraini, A. N., Werdana, A. P., & Setyowati, C. (2025). Implementasi Model Efficientnetb0 Pada Pembuatan Aplikasi Desktop Untuk Identifikasi Hama Tanaman Sawi Berbasis Deep Learning. Jurnal Teknologi Informasi Digital, 1(2), 82–89.

Idris, T., Ferazona, S., & Safitri, H. (2021). Profile Of The Ability Of Prospective Biology Teachers In Making Question Instruments Using Bloom’s Taxonomy. Reid (Research And Evaluation In Education), 7(2), 177–185. Https://Doi.Org/10.21831/Reid.V7i2.44903

Ilham, M. Z. (2025). Peningkatan Hasil Belajar Siswa Algoritma Pemrograman Dengan Metode Demonstrasi Di Kelas Xii Sma Negeri 5 Makassar. 8(1).

_Implementasi+Pembelajaran+Mendalam+Untuk+Meningkatkan+Litera. (N.D.).

Ismanto, E., Al Rian, R., Novalia, M., & Herlandy, P. B. (2025). Pengenalan Dan Edukasi Kecerdasan Artifisial Generatif Untuk Siswa Sekolah Al-Amin Terengganu, Malaysia. Jurnal Pengabdian Untukmu Negeri, 9(2), 194–199.

Ismanto, E., & Safitri, A. (2024). Sosialisasi & Edukasi: Optimalisasi Bakat Dan Minat Siswa Berbasis Sistem Pakar Dengan Pendekatan Artificial Intelligence. Jurnal Pengabdian Untukmu Negeri, 8(3), 307–312.

Junaedi, Suprih Widodo, Ulva Elviani, & Siti Sripatimah. (2025). Generative Ai As A Learning Companion For Student Autonomy In Secondary Education: A Self-Regulated Learning-Based Conceptual Framework. Buletin Pengembangan Perangkat Pembelajaran, 7(2), 259–269. Https://Doi.Org/10.23917/Bppp.V7i2.14787

Khadijah, & Mulbar, U. (2025). Analisis Kesalahan Mahasiswa Dalam Menyusun Flowchart Metode Posisi Palsu Berdasarkan Teori Rittle-Johnson Dan Alibali. Equals: Jurnal Ilmiah Pendidikan Matematika, 8(2), 159–171. Https://Doi.Org/10.46918/Equals.V8i2.3015

Khasanah, U., & Anistyasari, Y. (N.D.). Rancang Bangun Media Pembelajaran Algoritma Dan Pemrograman Berbasis Website Dengan Model Pembelajaran Pjbl Untuk Meningkatkan Kompetensi Siswa Kelas X Teknik Komputer Dan Jaringan.

Kloos, C. D., & Alario-Hoyos, C. (2021). Educational Pyramids Aligned: Bloom’s Taxonomy, The Digcompedu Framework And Instructional Designs. 2021 World Engineering Education Forum/Global Engineering Deans Council (Weef/Gedc), 110–117. Https://Doi.Org/10.1109/Weef/Gedc53299.2021.9657335

Kong, S.-C., & Lai, M. (2022). Validating A Computational Thinking Concepts Test For Primary Education Using Item Response Theory: An Analysis Of Students’ Responses. Computers & Education, 187, 104562. Https://Doi.Org/Https://Doi.Org/10.1016/J.Compedu.2022.104562

Kurmalasari, T., Hidayat, T., Al Rasyid, M., Nuzulia, R., Hakim, Y., & Ali, R. (2025). The Application Of The Deeplearning Approach Assisted By The Augmented Reality Application Canva Ai In Indonesian Language Learning In Elementary Schools (Vol. 1, Number 1).

Lee, S. J., Francom, G. M., & Nuatomue, J. (2022). Computer Science Education And K-12 Students’ Computational Thinking: A Systematic Review. International Journal Of Educational Research, 114, 102008. Https://Doi.Org/Https://Doi.Org/10.1016/J.Ijer.2022.102008

Lehmann, T. H. (2025). Examining The Interaction Of Computational Thinking Skills And Heuristics In Mathematical Problem Solving. Research In Mathematics Education, 27(2), 269–290. Https://Doi.Org/10.1080/14794802.2025.2460460

Lestari, E., & Hidayati, S. N. (2023). Bahan Ajar Berbantuan Smart Apps Creator Untuk Peningkatan Hasil Belajar Peserta Didik. 11(2), 138–142. Https://Ejournal.Unesa.Ac.Id/Index.Php/Pensa

Mardeli, M., Sari, J. P., Setyaningsih, K., Fauzi, M., Fitri, E., & Ballianie, N. (2025). Generative Ai In Personalized Learning: A Systematic Review Of Implementation In Indonesia. Edukasia Jurnal Pendidikan Dan Pembelajaran, 6(2), 989–1002. Https://Doi.Org/10.62775/Edukasia.V6i2.1672

Maria, E., Winarso Martyas Edi, S., Suharyadi, Christianto, E., & Purwanto. (2023). Peningkatan Kompetensi Algoritma Pemrograman Untuk Guru Smk Negeri 1 Salatiga. Warta Lpm, 245–255. Https://Doi.Org/10.23917/Warta.V26i3.1701

Masayu Andayanie, L., Syahriandi Adhantoro, M., Purnomo, E., & Tribuana Kurniaji, G. (2025). Implementation Of Deep Learning In Education: Towards Mindful, Meaningful, And Joyful Learning Experiences Journal Of Deep Learning Implementation Of Deep Learning In Education: Towards Mindful, Meaningful, And Joyful Learning Experiences. In Journal Of Deep Learning | E (Vol. 1, Number 1). Https://Journals2.Ums.Ac.Id/Index.Php/Jdl

Matore, M. E. E. M. (2021). Rasch Model Assessment For Bloom Digital Taxonomy Applications. Computers, Materials And Continua, 68(1), 1235–1253. Https://Doi.Org/Https://Doi.Org/10.32604/Cmc.2021.016143

Mills, Kathy A, Cope, Jen, Scholes, Laura, & Rowe, Luke. (2024). Coding And Computational Thinking Across The Curriculum: A Review Of Educational Outcomes. Review Of Educational Research, 95(3), 581–618. Https://Doi.Org/10.3102/00346543241241327

Monteyne, S., Struyve, C., Gesquière, N., Neutens, T., Wyffels, F., Van Braak, J., & Aesaert, K. (2025). Teachers’ Computational Thinking Content Knowledge: Development Of A Measurement Instrument. Computers & Education, 225, 105181. Https://Doi.Org/Https://Doi.Org/10.1016/J.Compedu.2024.105181

Montuori, C., Gambarota, F., Altoé, G., & Arfé, B. (2024). The Cognitive Effects Of Computational Thinking: A Systematic Review And Meta-Analytic Study. Computers & Education, 210, 104961. Https://Doi.Org/Https://Doi.Org/10.1016/J.Compedu.2023.104961

My, H. D. T., Tuan, T. Le, Dinh, B. N., & Huu, S. N. (2025). Ai-Integrated Personalized Learning For High School Students. World Journal Of Engineering And Technology, 13(02), 147–165. Https://Doi.Org/10.4236/Wjet.2025.132010

Nafiati, D. A. (2021). Revisi Taksonomi Bloom: Kognitif, Afektif, Dan Psikomotorik. Humanika, 21(2), 151–172. Https://Doi.Org/10.21831/Hum.V21i2.29252

Nasukha, M., & Pancasakti Tegal, U. (N.D.). 2024, Pages 6503-6511 Journal Of Education Research. In Journal Of Education Research (Vol. 5, Number 4).

Nugroho Sihananto, A., Wirya Atmaja, P., Pembangunan Nasional Veteran Jawa Timur, U., & Rungkut Madya, J. (N.D.). Andreas Nugroho Sihananto, Pratama Wirya Atmaja 8 Pemanfaatan Ai Dalam Pembelajaran Pemrograman Untuk Mahasiswa.

Nurjamin, A., Nurjamin, L. R., Fajriah, Y. N., Khoerunnisa Nurjamin, A., & Firdaus, H. A. (2026). Integrating Generative Artificial Intelligence (Ai)-Based Multimodal … | 72. Asean Journal Of Educational Research And Technology, 5(1), 71–88.

Nushaibah, A., & Sofyan, D. (N.D.). An Analysis Of Teaching And Learning Variations Based On Bloom’s Taxonomy.

Olyan, W., Wara Prabawa, H., & Septem Riza, L. (N.D.). Game Untuk Meningkatkan Hasil Belajar Siswa Smk Pada Pembelajaran Algoritma Pengurutan Dengan Metode Drill.

Pisa 2022 Results (Volume I). (2023). Oecd Publishing. Https://Doi.Org/10.1787/53f23881-En

Politeknik, R., Padang, N., Amir, F., Negeri, P., Fadli, P., Politeknik, F., Oriyasmi, F., Fazrol, P., Politeknik, R., Tri, D., Politeknik, L., Efendi, N., Alamat, P., Kampus, J., Manis, L., & Barat, P.-S. (2025). Pelatihan Flowgorithm Untuk Meningkatkan Kemampuan Dasar Pemrograman Siswa Smk Negeri 1 Pangkalan Kerinci. Jurnal Akademik Pengabdian Masyarakat, 3(5). Https://Doi.Org/10.61722/Japm.V3i5.6520

Pradana, A. K. A., Mardliyah, S., & Yulianingsih, W. (2024). Analysis Of Generative Ai Adoption In Self-Directed Learning Student At Skb Sidoarjo. Jppm (Jurnal Pendidikan Dan Pemberdayaan Masyarakat), 11(2), 144–157. Https://Doi.Org/10.21831/Jppm.V11i2.82969

Prof.Dr.Sugiyono. (2010). Metode Penelitian Pendidikan(Pendekatan Kuantitatif, Kualitatif, Dan R&D).

Purba, H. (2023). Konsep_Dasar_Pemahaman_Algoritma_Pemrograman. Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa Dan Matematika.

Putra, S. D., Aryani, D., & Syofyan, H. (2022). Penerapan Konsep Computational Thinking Dengan Block-Based Programming Bagi Guru Smpit Insan Rabbani. Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta, 2(2), 101. Https://Doi.Org/10.52362/Tridharmadimas.V2i2.981

Putri, R. (2024a). Inovasi Pendidikan Dengan Menggunakan Model Deep Learning Di Indonesia. Jurnal Pendidikan Kewarganegaraan Dan Politik, 2(2), 69–77.

Putri, R. (2024b). Inovasi Pendidikan Dengan Menggunakan Model Deep Learning Di Indonesia. Jurnal Pendidikan Kewarganegaraan Dan Politik (Jpkp), 2(2), 69–77.

Rahmandani, F., Rifqi Hamzah, M., Handayani, T., Wahyu Kurniawan, M., Raya Tlogomas No, J., Lowokwaru, K., Malang, K., & Timur, J. (2025). Inovasi : Jurnal Sosial Humaniora Dan Pendidikan Integrasi Pembelajaran Mendalam (Deep Learning) Dalam Mewujudkan Pembelajaran Yang Bermutu Dan Bermakna Bagi Peserta Didik. Https://Doi.Org/10.55606/Inovasi.V4i2.4896

Ramadhani, N., Prasetyo, D., Supartha, I. K. D. G., & Judijanto, L. (2025). Report Writing: Teknik Menulis Laporan Dengan Bantuan Ai. Pt. Sonpedia Publishing Indonesia.

Rezky, Y., & Ismail. (2025). Pembelajaran Mendalam Sebagai Proses Eksistensial Dalam Mewujudkan Keorentikan Dan Refleksi Diri Peserta Didik. Pendas: Jurnal Ilmiah Pendidikan Dasar.

Ridwan, A., Wibowo, A. A., Widiyanti, W., Nurhadi, D., & Isnandar, I. (2024). The Concept Directions Of Development 21st Century Vocational Education. The Eurasia Proceedings Of Educational And Social Sciences, 39, 80–92.

Rizal, R., Surahman, S., Asriani, A., Putriwanti, P., Rahmawati, D., & Pratama, R. A. (2025). Praktik Manajemen Kelas Dalam Pembelajaran Deep Learning Keterampilan Guru Abad 21 Yang Kreatif Dan Inovatif. Jurnal Altifani Penelitian Dan Pengabdian Kepada Masyarakat, 5(6), 1525–1535.

Robles, G., Pons, G., Escobar-Morales, D., Harteveld, C., & Troiano, G. M. (2025). Dr. Scratch 2.0 (Ct4all): Advanced Modes And Rubrics For Assessing Computational Thinking In Scratch Projects. Softwarex, 32, 102359. Https://Doi.Org/Https://Doi.Org/10.1016/J.Softx.2025.102359

Rosario, M., Arief, M., Sutoyo, H., Siswanto, A., Pratama, Y., & Feranika, A. (2024). Pembimbingan Intensif Materi Algoritma Dan Pemograman Dasar Terhadap Peserta Olimpiade Sains Nasional Bidang Informatika Tingkat Kota Pada Sma Negeri 2 Kota Jambi. Oktober, 3(2), 70. Https://Doi.Org/10.33998/Jpmu.V3i2

Rumapea, H., Manalu, D. R., & Rumapea, Y. Y. P. (2025). Interpretable Deep Learning For Enhanced Ai Trust And Clarity. Journal Of Artificial Intelligence And Technology, 5, 345–353.

Rusli Akhmad Junaedi. (2025). Strategi Komunikasi Pendidikan Berbasis Generative Ai Dalam Membangun Pembelajaran Di Perguruan Tinggi. Jurnal Inovasi Komunikasi, 1–7. Https://Doi.Org/10.29313/Jikom.V3i1.6119

Salaki, N. V., Togas, P. V., & Modeong, M. (2025). Pengembangan Media Pembelajaran Interaktif Mata Pelajaran Informatika Pada Siswa Kelas X Di Sma Negeri 2 Tondano. Edutik: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi, 5(5), 1625–1636.

Sari, N., Putra, I., Supriadi, S., Wahyuni, S., & Siregar, D. R. (2025). Pemanfaatan Artificial Intelligence Untuk Meningkatkan Kompetensi Pedagogik Guru Di Smkn 6 Muaro Jambi. Jurnal Pengabdian Masyarakat Khatulistiwa, 8(2), 220–228.

Selinda, P., Mangiri, H. S., & Trisetiyanto, A. N. (2025). Problematika Dalam Mengimplemetasikan Kurikulum Merdeka Belajar Pada Pelajaran Informatika. Journal Of System Information Technology And Electronics Engineering (J-Sitee), 3(2), 14–20.

Setiani, D., Abdul, M., & Dirgantoro Ajar. (2025). Persepsi Guru Penggerak Terhadap Pendekatan Deep Learning Dalam Transformasi Pembelajaran. Pendas: Jurnal Ilmiah Pendidikan Dasar.

Sigayret, K., Tricot, A., & Blanc, N. (2025). Mesurer L’acquisition De La Pensée Informatique : Conception Et Validation De Deux Instruments. European Review Of Applied Psychology, 75(6), 101116. Https://Doi.Org/Https://Doi.Org/10.1016/J.Erap.2025.101116

Sobral, S. R. (2021). Bloom’s Taxonomy To Improve Teaching-Learning In Introduction To Programming. International Journal Of Information And Education Technology, 11(3), 148–153. Https://Doi.Org/10.18178/Ijiet.2021.11.3.1504

Stringer, J. K., Santen, S. A., Lee, E., Rawls, M., Bailey, J., Richards, A., Perera, R. A., & Biskobing, D. (2021). Examining Bloom’s Taxonomy In Multiple Choice Questions: Students’ Approach To Questions. Medical Science Educator, 31(4), 1311–1317. Https://Doi.Org/10.1007/S40670-021-01305-Y

Sulistyawati, W. (2025). Utilizing Social Media As A Collaborative Learning Platform In Early Childhood Education: Opportunities And Challenges. Journal Of Educational Technology And Innovation, 8(1), 31–39.

Tata, T. S., Heri, H. S., & Kurniawan. (2025). Navigating The Generative Ai Revolution In Education: A Systematic Review Of Applications, Ethical Considerations, And Future Directions. Jurnal Nasional Pendidikan Teknik Informatika (Janapati), 14(2), 374–384. Https://Doi.Org/10.23887/Janapati.V14i2.90367

Theresiawati, Hidayanto, A. N., Seta, H. B., Widyatmoko, A. M., Muhammad, M. A., Said, M. F. A., & Adifai, S. R. (2025). Analysis Of Factors Influencing Students’ Adoption Of Generative Ai As A Programming Learning Resource. Interactive Learning Environments, 1–18. Https://Doi.Org/10.1080/10494820.2025.2546630

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What If The Devil Is My Guardian Angel: Chatgpt As A Case Study Of Using Chatbots In Education. Smart Learning Environments, 10(1), 15. Https://Doi.Org/10.1186/S40561-023-00237-X

Tsai, C. C., Chung, C. C., Cheng, Y. M., & Lou, S. J. (2022). Deep Learning Course Development And Evaluation Of Artificial Intelligence In Vocational Senior High Schools. Frontiers In Psychology, 13. Https://Doi.Org/10.3389/Fpsyg.2022.965926

Tsarava, K., Moeller, K., Román-González, M., Golle, J., Leifheit, L., Butz, M. V, & Ninaus, M. (2022). A Cognitive Definition Of Computational Thinking In Primary Education. Computers & Education, 179, 104425. Https://Doi.Org/Https://Doi.Org/10.1016/J.Compedu.2021.104425

Vourletsis, I., & Politis, P. (2022). Exploring The Effect Of Remixing Stories And Games On The Development Of Students’ Computational Thinking. Computers And Education Open, 3, 100069. Https://Doi.Org/Https://Doi.Org/10.1016/J.Caeo.2021.100069

Waheed, A., Goyal, M., Mittal, N., Gupta, D., Khanna, A., & Sharma, M. (2021). Bloomnet: A Robust Transformer Based Model For Bloom’s Learning Outcome Classification. Http://Arxiv.Org/Abs/2108.07249

Wahidin Ashari, N., Farnesyia Putri, Dan, Matematika, J., & Negeri Makassar, U. (N.D.). Generative Artificial Intelegence (Gen-Ai) Dalam Pembelajaran Pada Guru-Guru Di Kabupaten Sidrap. Https://Doi.Org/10.35880/Jhp2m.V3i2.5037

Wardani, F. P., & Hadiningrat, K. P. S. S. (2025). Urgency Of Coding Basic Learning For Pre-School Participant: Roadmap For Preparing Golden Indonesia 2045. Jipower: Journal Of Intellectual Power, 2(1), 1–15.

Widodo, S., Elviani, U., & Sripatimah, S. (2025). Generative Ai As A Learning Companion For Student Autonomy In Secondary Education: A Self-Regulated Learning-Based Conceptual Framework. Buletin Pengembangan Perangkat Pembelajaran, 7(2), 259–269.

Wiranata, D., Widiana, I. W., & Bayu, G. W. (2021). The Effectiveness Of Learning Activities Based On Revised Bloom Taxonomy On Problem-Solving Ability. Indonesian Journal Of Educational Research And Review, 4(2), 289. Https://Doi.Org/10.23887/Ijerr.V4i2.37370

Wowor, C. E. P., Rianto, I., & Kaparang, D. R. (2025). Pengembangan Modul Pembelajaran Informatika Di Sma Berbasis Video Interaktif. Edutik: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi, 5(3), 542–554.

Yang, S., Zhu, S., & Qin, W. (2025). Enhancing Computational Thinking Assessment: A Multimodal Cognitive Diagnostic Approach. Thinking Skills And Creativity, 56, 101752. Https://Doi.Org/Https://Doi.Org/10.1016/J.Tsc.2025.101752

Yuana, R. A., Sajidan, S., Wiranto, W., & Nizam, M. (2025). Strategies For Integrating Computational Thinking And Scientific Approaches In Programming Education: A Systematic Literature Review. In Discover Education (Vol. 4, Number 1). Discover. Https://Doi.Org/10.1007/S44217-025-00834-7.