Article Gold Open Access 2024

Chatbots as Digital Language Tutors: Revolutionizing Education Through AI

Indonesian Journal of Science and Technology
Journal · Vol. 9 · Issue 3 · pp. 885-908
Abstract

Artificial intelligence (AI) is changing the landscape of language education and AI-enhanced chatbots are in the process of becoming digital tutors. This study explores how chatbots enhance language acquisition through real-time, interactive, and personalized learning experiences. As virtual tutors, they allow students to repeat the vocabulary, grammar, pronunciation, and conversation skills in dynamic contexts and give immediate feedback to improve language. Multilingual features enable chatbots to reach a broad spectrum of learners addressing issues of scalability and accessibility. For teachers, chatbots extend themselves beyond conventional teaching, lessen workloads, and facilitate large-scale and multilinguistic programmes. It is important to have an easy-to-use, culturally-pragmatic design so that the integration in curricula can appropriately address learners' heterogeneous needs. Chatbots provide democratizing language education of top quality by circumventing cost and access barriers and offering life changing solutions for language learners worldwide. They offer real-world pointers to further develop AI-powered educational technologies, and thus, provide a platform for broader application to the language curriculum. As Artificial Intelligence develops, chatbots will be a fundamental tool for promoting linguistic and communicative competence in contemporary education. © 2024 Tim Pengembang Jurnal UPI.

Keywords

Author Keywords

Indonesia education AI chatbot Language

Index Keywords

Author Affiliations
Universitas Komputer Indonesia, Bandung, West Java, Indonesia
Politeknik Pertanian Negeri Pangkajene Kepulauan, South Sulawesi, Indonesia
Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia
Funding & Acknowledgements
National Research Foundation of Korea, NRF
Figure 5 shows 26 documents supported by various funding sponsors. Among these, the \"Kementerian Riset Teknologi dan Pendidikan Tinggi Republik Indonesia\" is the leading sponsor, funding 2 documents. Several other institutions contributed equally by funding 1 document each, including \"Direktorat Riset dan Pengabdian Masyarakat,\" \"Institute for Basic Science,\" \"Kementerian Keuangan Republik Indonesia,\" \"Kementerian Riset, Teknologi dan Pendidikan Tinggi,\" \"National Research Foundation of Korea,\" \"Queensland University of Technology,\" \"Science and Engineering Faculty, Queensland,\" \"Universitas Indonesia,\" and \"Universitas Padjadjaran.\" This broad funding distribution demonstrates diverse institutional support for advancing research on AI and education.
Queensland University of Technology, QUT
Figure 5 shows 26 documents supported by various funding sponsors. Among these, the \"Kementerian Riset Teknologi dan Pendidikan Tinggi Republik Indonesia\" is the leading sponsor, funding 2 documents. Several other institutions contributed equally by funding 1 document each, including \"Direktorat Riset dan Pengabdian Masyarakat,\" \"Institute for Basic Science,\" \"Kementerian Keuangan Republik Indonesia,\" \"Kementerian Riset, Teknologi dan Pendidikan Tinggi,\" \"National Research Foundation of Korea,\" \"Queensland University of Technology,\" \"Science and Engineering Faculty, Queensland,\" \"Universitas Indonesia,\" and \"Universitas Padjadjaran.\" This broad funding distribution demonstrates diverse institutional support for advancing research on AI and education.
Universitas Indonesia, UI
Figure 5 shows 26 documents supported by various funding sponsors. Among these, the \"Kementerian Riset Teknologi dan Pendidikan Tinggi Republik Indonesia\" is the leading sponsor, funding 2 documents. Several other institutions contributed equally by funding 1 document each, including \"Direktorat Riset dan Pengabdian Masyarakat,\" \"Institute for Basic Science,\" \"Kementerian Keuangan Republik Indonesia,\" \"Kementerian Riset, Teknologi dan Pendidikan Tinggi,\" \"National Research Foundation of Korea,\" \"Queensland University of Technology,\" \"Science and Engineering Faculty, Queensland,\" \"Universitas Indonesia,\" and \"Universitas Padjadjaran.\" This broad funding distribution demonstrates diverse institutional support for advancing research on AI and education.
Universitas Padjadjaran, UNPAD
Figure 5 shows 26 documents supported by various funding sponsors. Among these, the \"Kementerian Riset Teknologi dan Pendidikan Tinggi Republik Indonesia\" is the leading sponsor, funding 2 documents. Several other institutions contributed equally by funding 1 document each, including \"Direktorat Riset dan Pengabdian Masyarakat,\" \"Institute for Basic Science,\" \"Kementerian Keuangan Republik Indonesia,\" \"Kementerian Riset, Teknologi dan Pendidikan Tinggi,\" \"National Research Foundation of Korea,\" \"Queensland University of Technology,\" \"Science and Engineering Faculty, Queensland,\" \"Universitas Indonesia,\" and \"Universitas Padjadjaran.\" This broad funding distribution demonstrates diverse institutional support for advancing research on AI and education.
References 10 References
1 Al Husaeni, Dwi Fitria, Chatbot Artificial Intelligence as Educational Tools in Science and Engineering Education: A Literature Review and Bibliometric Mapping Analysis with Its Advantages and Disadvantages, ASEAN Journal of Science and Engineering, 4, 1, pp. 93-118, (2024)
2 Rochman, Syaiful, How Bibliometric Analysis Using VOSviewer Based on Artificial Intelligence Data (using ResearchRabbit Data): Explore Research Trends in Hydrology Content, ASEAN Journal of Science and Engineering, 4, 2, pp. 251-294, (2024)
3 Indonesian Journal of Educational Research and Technology, (2023)
4 Indonesian Journal of Multidiciplinary Research, (2023)
5 Indonesian Journal of Multidiciplinary Research, (2024)
6 Indonesian Journal of Teaching in Science, (2021)
7 Asean Journal for Science Education, (2024)
8 Agarry, Rachael Ojima, Primary Education Undergraduates’ Competency in the Use of Artificial Intelligence for Learning in Kwara State, ASEAN Journal of Educational Research and Technology, 1, 2, pp. 111-118, (2022)
9 Solihat, Ai Nur, Artificial Intelligence (AI)-based Learning Media: Definition, Bibliometric, Classification, and Issues for Enhancing Creative Thinking in Education, ASEAN Journal of Science and Engineering, 4, 3, pp. 349-382, (2024)
10 Al Husaeni, Dwi Fitria, Bibliometric Using Vosviewer with Publish or Perish (using Google Scholar data): From Step-by-step Processing for Users to the Practical Examples in the Analysis of Digital Learning Articles in Pre and Post Covid-19 Pandemic, ASEAN Journal of Science and Engineering, 2, 1, pp. 19-46, (2022)
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