Strategi pembelajaran bahasa berbantukan kecerdasan buatan

Jurnal Penelitian Pendidikan Indonesia December 29, 2023 Volume 9, Number 4 5 authors

Abstract

The use of Artificial Intelligence (KB) has experienced rapid development in various fields, including education and learning. This article discusses artificial intelligence-assisted language learning strategies. The main objective of this strategy is to increase the efficiency and effectiveness of the language learning process by utilizing family planning technology. This article outlines various approaches that can be used in the implementation of KB-assisted learning strategies, including automated text analysis, personalized learning, adaptive feedback, language error detection, and automatic translation. The advantages and challenges of each approach are discussed in depth, as well as their potential impact on language learning outcomes. This study adopts a literature analysis approach to investigate language learning strategies assisted by artificial intelligence. The steps taken in this study include the identification and collection of relevant literature sources, as well as critical analysis of the information found. By combining the advantages of family planning technology with the principles of language learning, it is hoped that this strategy can pave the way to a more interactive, adaptive, and efficient learning experience

Authors

  1. Syarifuddin Tundreng

    Universitas Sembilanbelas November Kolaka

  2. Kadaruddin Kadaruddin

    Universitas Sembilanbelas November Kolaka

  3. Rais Abin

    Universitas Sembilanbelas November Kolaka

  4. Hariadi Syam

    Universitas Sembilanbelas November Kolaka

  5. Alifiah Pratiwi

    Universitas Sembilanbelas November Kolaka

Keywords

artificial intelligencelanguage learningautomatic text analysislearning personalizationadaptive feedbacklanguage error detectionautomatic translation

References

  1. Abimanto, D., & Mahendro, I. (2023). Efektivitas Penggunaan Teknologi AI Dalam Pembelajaran Bahasa Inggris. Jurnal Riset Sosial Humaniora Dan Ilmu Pendidikan, 2(2).
  2. Bimba, A. T., Idris, N., Al-Hunaiyyan, A., Mahmud, R. B., & Shuib, N. L. B. M. (2017). Adaptive Feedback in Computer-based Learning Environments: A Review. Adaptive Behavior, 25(5), 217–234. https://doi.org/10.1177/1059712317727590
  3. Budiarti, M. (2018). Implementasi Model Pembelajaran Discovery of Learning dengan Pendekatan Sientifik untuk Meningkatkan Motivasi dan Hasil Belajar Bahasa Arab. Diwan, 10(19), 878–888. https://doi.org/10.15548/diwan.v10i19.167
  4. Da Costa, & Morgado, L. (2021). Using Rich Models of Language in Grammatical Error Detection. Nanyang Technological University. https://hdl.handle.net/10356/155214
  5. Dodgson, J. E. (2021). Critical Analysis: The Often-Missing Step in Conducting Literature Review Research. Journal of Human Lactation, 37(1), 27–32. https://doi.org/10.1177/0890334420977815
  6. Fachruddin, F. (2022). Guru dan Personalized Learning. https://www.uinjkt.ac.id/guru-dan-personalized-learning/
  7. Frijuniarsi, N. (2018). Pola Noun Phrase yang Umum Ditemukan dalam Abstrak Artikel Penelitian. DEIKSIS, 10(03), 291. https://doi.org/10.30998/deiksis.v10i03.2374
  8. Hapsari, D. (2019). Optimalisasi Layanan Penelusuran Sumber-sumber Informasi untuk Mendukung Penulisan Karya Ilmiah Dosen dan Mahasiswa di Perguruan Tinggi. Jurnal Pustaka Ilmiah, 2(1), 117. https://doi.org/10.20961/jpi.v2i1.33168
  9. Hong, Y., Lian, J., Xu, L., Min, J., Wang, Y., Freeman, L. J., & Deng, X. (2023). Statistical Perspectives on Reliability of Artificial Intelligence Systems. Quality Engineering, 35(1), 56–78. https://doi.org/10.1080/08982112.2022.2089854
  10. Humphreys, A. (2019). Automated Text Analysis. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 1–32). Springer International Publishing. https://doi.org/10.1007/978-3-319-05542-8_26-1
  11. Jamal, D. A. (2023). The Role of Artificial Intelligence (AI) In Teacher Education: Opportunities & Challenges. 10(1).
  12. Khasanah, L. U. (2022). Simak Penerapan Machine Learning di Bidang Teknologi. https://dqlab.id/simak-penerapan-machine-learning-di-bidang-teknologi
  13. Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y.-S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022). Explainable Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074. https://doi.org/10.1016/j.caeai.2022.100074
  14. Kroll, J. A. (2018). Data Science Data Governance [AI Ethics]. IEEE Security & Privacy, 16(6), 61–70. https://doi.org/10.1109/MSEC.2018.2875329
  15. Le, N.-T. (2016). A Classification of Adaptive Feedback in Educational Systems for Programming. Systems, 4(2), 22. https://doi.org/10.3390/systems4020022
  16. Liu, M. (2023). Exploring the Application of Artificial Intelligence in Foreign Language Teaching: Challenges and Future Development. SHS Web of Conferences, 168, 03025. https://doi.org/10.1051/shsconf/202316803025
  17. Maghfira, T. N., Cholissodin, I., & Widodo, A. W. (2017). Deteksi Kesalahan Ejaan dan Penentuan Rekomendasi Koreksi Kata yang Tepat Pada Dokumen Jurnal JTIIK Menggunakan Dictionary Lookup dan Damerau-Levenshtein Distance. 1(6), 498–506.
  18. Mambu, J. G. Z., Pitra, D. H., Ilmi, A. R. M., Nugroho, W., & Saputra, A. M. A. (2023). Pemanfaatan Teknologi Artificial Intelligence (AI) Dalam Menghadapi Tantangan Mengajar Guru di Era Digital. 06(01).
  19. Manongga, D., Rahardja, U., Sembiring, I., Lutfiani, N., & Yadila, A. B. (2022). Dampak Kecerdasan Buatan Bagi Pendidikan. ADI Bisnis Digital Interdisiplin Jurnal, 3(2), 41–55. https://doi.org/10.34306/abdi.v3i2.792
  20. Mediyawati, N., & Bintang, S. (2021). Platporm Kecerdasan Buatan sebagai Media Inovatif untuk Meningkatkan Keterampilan Berkomunikasi: U-TAPIS.
  21. Meida, E. F. (2022). Pendidikan Agama Islam dalam Kerangka Kemajuan Teknologi Digital. Jurnal Teknologi Pendidikan: Jurnal Penelitian Dan Pengembangan Pembelajaran, 7(1), 95. https://doi.org/10.33394/jtp.v7i1.4759
  22. Naz, S., Majeed, Y., & Qayyum, A. (2012). Automatic Translation of Heterogeneous Data Models. International Journal of Computer and Communication Engineering, 35–38. https://doi.org/10.7763/IJCCE.2012.V1.11
  23. Norton, L. M. (1983). Automated Analysis of Instructional Text. Artificial Intelligence, 20(3), 307–344. https://doi.org/10.1016/0004-3702(83)90010-3
  24. Onwuegbuzie, A. J., & Frels, R. (2016). 7 Steps to a Comprehensive Literature Review: A Multimodal & Cultural Approach (First edition). Sage.
  25. Paida, A. (2021). Inteferensi Bahasa Manggarai terhadap Peggunaan Bahasa Indonesia dalam Berkomunikasi Siswa SMA Saribuana Makassar. Jurnal Studi Guru Dan Pembelajaran, 4(3), 575–581. https://doi.org/10.30605/jsgp.4.3.2021.1383
  26. Pratiwi, M. E., Imbar, K., & Prawiradilaga, D. S. (2022). Pemanfaatan Prinsip Personalisasi Belajar dalam Pembelajaran Daring pada Mata Kuliah Designing E- Learning. Jurnal Pembelajaran Inovatif, 5(1), 56–62. https://doi.org/10.21009/JPI.051.07
  27. Ridwan, M., Am, S., Ulum, B., & Muhammad, F. (2021). Pentingnya Penerapan Literature Review pada Penelitian Ilmiah. Jurnal Masohi, 2(1), 42. https://doi.org/10.36339/jmas.v2i1.427
  28. Salmaa. (2023). Studi Literatur: Pengertian, Ciri, Teknik Pengumpulan Datanya. https://penerbitdeepublish.com/studi-literatur/
  29. Santoso, H. B., & Hasibuan, Z. A. (2007). Pemodelan Personalisasi Pembelajaran berdasarkan Aspek Gaya Belajar pada Student Centered e-Learning Environment. Fakultas Ilmu Komputer Universitas Indonesia. https://lib.ui.ac.id/detail.jsp?id=126605
  30. Sari, Y. M., & Fatonah, N. S. (2021). Peringkasan Teks Otomatis pada Modul Pembelajaran Berbahasa Indonesia Menggunakan Metode Cross Latent Semantic Analysis (CLSA). Jurnal Edukasi dan Penelitian Informatika (JEPIN), 7(2), 153. https://doi.org/10.26418/jp.v7i2.47768
  31. Sinaga, A. V. (2023). Peranan Teknologi dalam Pembelajaran untuk Membentuk Karakter dan Skill Peserta Didik Abad 2. 06(01).
  32. Sutrisno, T. (2018). Penerapan Pendekatan Bermain Modifikasi Alat Bantu Pembelajaran untuk Meningkatkan Hasil Belajar. Jurnal Dikdas Bantara, 1(1). https://doi.org/10.32585/jdb.v1i1.72
  33. Taufani, A. R., & Ar Rosyid, H. A. (2019). Sistem Tutorial Berbasis Kecerdasan Buatan Pada Proses Pengambilan Keputusan Perawatan dan Perbaikan Gitar. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 3(1), 79–86. https://doi.org/10.29207/resti.v3i1.842
  34. Thiebes, S., Lins, S., & Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic Markets, 31(2), 447–464. https://doi.org/10.1007/s12525-020-00441-4
  35. Tjahyanti, L. P. A. S., Saputra, P. S., & Gitakarma, M. S. (2022). Peran Artificial Intelligence untuk Mendukung Pembelajaran dimasa Pandemi Covid 19. Jurnal Komputer Dan Teknologi Sains (KOMTEKS), 1(1), 15–21.
  36. Yuliska, Y., & Syaliman, K. U. (2020). Literatur Review Terhadap Metode, Aplikasi dan Dataset Peringkasan Dokumen Teks Otomatis untuk Teks Berbahasa Indonesia. IT Journal Research and Development, 5(1), 19–31. https://doi.org/10.25299/itjrd.2020.vol5(1).4688
  37. Zein, A. (2018). Peran Text Processing Dalam Aplikasi Penerjemah Multi Bahasa Menggunakan Ajax Api Google. Jurnal Teknologi Informasi ESIT, 8(2).