Artificial Intelligence Tools in Tamil Language Teaching and Learning
Authors
Faculty of Education, Universiti Kebangsaan Malaysia (Malaysia)
Faculty of Education, Universiti Kebangsaan Malaysia (Malaysia)
Article Information
DOI: 10.51244/IJRSI.2026.1303000074
Subject Category: Artificial Intelligence
Volume/Issue: 13/3 | Page No: 830-844
Publication Timeline
Submitted: 2026-03-14
Accepted: 2026-03-19
Published: 2026-03-31
Abstract
Artificial Intelligence (AI) has increasingly influenced language education by reshaping instructional practices, assessment methods, and learner engagement. In the context of Tamil language teaching and learning, the integration of AI remains an emerging yet underexplored area, particularly for a linguistically complex and comparatively low-resource language. This study reviews recent scholarly literature to examine the benefits and challenges associated with the use of AI tools in Tamil language education. A systematic literature review was conducted on studies published between 2021 and 2025 using major academic databases, following a structured screening and selection process. The findings indicate that AI tools contribute positively to personalized learning, learner engagement, writing development, accessibility, and assessment efficiency in Tamil language instruction. However, significant challenges persist, including limited availability of high-quality Tamil linguistic datasets, inadequate technological infrastructure, insufficient teacher preparedness, and ethical concerns related to bias, data privacy, and academic integrity. This review highlights the need for localized AI development, targeted professional training for educators, and coherent policy frameworks to support sustainable AI integration in Tamil language education. The study provides a consolidated understanding of current trends and identifies directions for future research and policy development.
Keywords
Artificial IntelligenceTamil Language Language Teaching and Learning Educational Technology Natural Language Processing Digital Education
Downloads
References
1. M. L. Owoc, A. Sawicka, and P. Weichbroth, “Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation,” in Artificial Intelligence for Knowledge Management. Cham, Switzerland: Springer, pp. 37–58, 2021. [Google Scholar] [Crossref]
2. J. Fleckenstein, J. Meyer, T. Jansen, S. D. Keller, O. Köller, and J. Möller, “Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays,” Computers & Education: Artificial Intelligence, vol. 6, Art. no. 100209, 2024. https://doi.org/10.1016/j.caeai.2024.100209 [Google Scholar] [Crossref]
3. L. Kohnke, B. L. Moorhouse, and D. Zou, “Exploring generative artificial intelligence preparedness among university language instructors: A case study,” Computers & Education: Artificial Intelligence, vol. 5, Art. no. 100156, 2023. https://doi.org/10.1016/j.caeai.2023.100156 [Google Scholar] [Crossref]
4. D. Dakakni and N. Safa, “Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education,” Computers & Education: Artificial Intelligence, vol. 5, Art. no. 100179, 2023. https://doi.org/10.1016/j.caeai.2023.100179 [Google Scholar] [Crossref]
5. A. W. Ou, C. Stöhr, and H. Malmström, “Academic communication with AI-powered language tools in higher education: From a post-humanist perspective,” System, vol. 121, Art. no. 103225, 2024. https://doi.org/10.1016/j.system.2024.103225 [Google Scholar] [Crossref]
6. Darwin, D. Rusdin, N. Mukminatien, N. Suryati, E. D. Laksmi, and Marzuki, “Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations,” Cogent Education, vol. 11, no. 1, Art. no. 2290342, 2024. [Google Scholar] [Crossref]
7. M. Fundi, I. T. Sanusi, S. S. Oyelere, and S. Ayere, “Advancing AI education: Assessing Kenyan in-service teachers’ preparedness for integrating artificial intelligence in a competence-based curriculum,” Computers in Human Behavior Reports, vol. 14, Art. no. 100412, 2024. https://doi.org/10.1016/j.chbr.2024.100412 [Google Scholar] [Crossref]
8. N. Zainuddin, N. A. Suhaimi, M. N. Jaffar, N. M. Norwawi, M. S. Sahrir, W. A. A. Wan Daud, and M. T. Abdul Ghani, “Responsible and ethical use of AI in language education: A systematic review,” Forum for Linguistic Studies, vol. 6, no. 5, 2024. [Google Scholar] [Crossref]
9. S. Paramasivam and R. Ramesh, “A comprehensive review of technology-enhanced Tamil language instruction,” International Journal of Research Publication and Reviews, vol. 6, no. 2, pp. 2776–2781, 2025. [Google Scholar] [Crossref]
10. M. Liu, L. J. Zhang, and C. Biebricher, “Investigating students’ cognitive processes in AI-assisted digital multimodal composing and traditional writing,” 2023. https://doi.org/10.1016/j.compedu.2023.104977 [Google Scholar] [Crossref]
11. R. S. Bose, M. M. Hasan, S. Rajest, and R. Rajan, “Intelligent Tamil video summarization: AI-powered NLP, translation, and speech integration for enhanced accessibility,” 2024. [Google Scholar] [Crossref]
12. A. Yang, “Challenges and opportunities for foreign language teachers in the era of artificial intelligence,” International Journal of Education and Humanities, vol. 4, no. 1, pp. 39–50, 2024. https://doi.org/10.58557/(ijeh).v4i1.202 [Google Scholar] [Crossref]
13. A. Balachandran, “Tamil-Llama: A new Tamil language model based on LLaMA 2,” arXiv preprint, 2023. [Google Scholar] [Crossref]
14. K. Sarveswaran, Tamil Language Computing: The Present and the Future. Jaffna, Sri Lanka: University of Jaffna, 2023. [Google Scholar] [Crossref]
15. A. Shibani, F. Mattins, S. Selvaraj, R. Rajalakshmi, and G. Bharathy, “Tamil Co-Writer: Towards inclusive use of generative AI for writing support,” in Proc. LAK 2024 Workshops, Kyoto, Japan, 2024. [Google Scholar] [Crossref]
16. S. Veerakannan and M. Vijayakumar, “Artificial intelligence for Tamil literature: An overview,” Tamilmanam International Research Journal of Tamil Studies, vol. 1, no. 7, pp. 1–20, 2025. [Google Scholar] [Crossref]
17. M. Mustopa, N. Nasikhin, R. Chamami, H. Nihayah, M. R. Habibullah, and A. Manshur, “Challenges in artificial intelligence development in higher education in China, India, and Indonesia: International students’ perspectives,” International Journal of Learning, Teaching and Educational Research, vol. 23, no. 2, pp. 354–373, 2024. https://doi.org/10.26803/ijlter.23.2.17 [Google Scholar] [Crossref]
18. J. A. Mananay, “Integrating artificial intelligence in language teaching: Effectiveness, challenges, and strategies,” International Journal of Learning, Teaching, and Educational Research, vol. 23, no. 9, pp. 361–382, 2024. https://doi.org/10.26803/ijlter.23.9.19 [Google Scholar] [Crossref]
19. S. Veerakannan, “Artificial intelligence technology: A boon in writing Tamil essays,” Tamilmanam International Research Journal of Tamil Studies, vol. 1, no. 4, pp. 1–20, 2025. [Google Scholar] [Crossref]
20. P. Krishnamurthy, “Advancements in Tamil computing: Shallow parsing to machine translation,” in Proc. International Conference on Tamil Computing, Coimbatore, India, 2023. [Google Scholar] [Crossref]
21. C. N. Subalalitha, “Generative AI for the Tamil language,” in Proc. International Conference on Tamil Computing, Coimbatore, India, 2023. [Google Scholar] [Crossref]
22. V. Renganathan, “Large language models (LLMs) and the role of linguists in the world of AI,” Invited Talk, International Conference on Tamil Computing, Coimbatore, India, 2023. [Google Scholar] [Crossref]
23. B. Evangeline and A. D. Moorthy, “Bilingual AI-powered next-word prediction for Tamil AAC: A low-resource NLP approach,” Anadolu Psikiyatri Dergisi, vol. 26, no. 2, 2025. [Google Scholar] [Crossref]
24. S. Gokul, “Retrieval augmented generation for Tamil,” International Research Journal of Education and Technology, vol. 6, no. 12, pp. 738–749, 2024. [Google Scholar] [Crossref]
25. G. Punidha, K. Gokulachalam, K. Prasad, and A. Ramakrishnan, “Tamil content generation using transformer (Yazhi),” International Journal of Innovative Science and Research Technology, vol. 9, no. 4, pp. 846–857, 2024. https://doi.org/10.38124/ijisrt/IJISRT24APR1134 [Google Scholar] [Crossref]
26. P. Thamburaj, S. Ponniah, I. Sivanathan, and M. Kumar, “A critical analysis of speech recognition of Tamil and Malay language through artificial neural networks,” Turkish Journal of Computer and Mathematics Education, vol. 12, no. 9, pp. 1305–1317, 2021. [Google Scholar] [Crossref]
27. S. C. Ting and H. Norman, “Teachers’ perceptions about the use of artificial intelligence (AI) in teaching at the middle school level,” Jurnal Pendidikan Bitara UPSI, vol. 17, no. 2, pp. 150–157, 2024. https://doi.org/10.37134/bitara.vol17.2.13.2024 [Google Scholar] [Crossref]
28. D. Abdul Jalil, “Kefahaman dan penggunaan kecerdasan buatan (AI) dalam pengajaran dan pembelajaran guru prasekolah di daerah Semporna,” Jurnal Pendidikan Bitara UPSI, vol. 17, pp. 36–46, 2024. [Google Scholar] [Crossref]
29. N. F. M. Ramli, R. Rusli, F. Tazijan, S. F. Zakaria, and M. M. Mahmud, “Harnessing AI in language learning: Student purposes and metacognitive strategies in a Malaysian university,” Gading Journal for Social Sciences, vol. 27, 2024. [Google Scholar] [Crossref]
30. J. Radianti, T. A. Majchrzak, J. Fromm, and I. Wohlgenannt, “A systematic review of immersive technologies applied in education,” Computers & Education, vol. 147, Art. no. 103778, 2021. [Google Scholar] [Crossref]
31. G. J. Hwang, C. L. Lai, and S. Y. Wang, “Seamless flipped learning: A mobile technology-enhanced flipped classroom with effective learning strategies,” Journal of Computers in Education, vol. 8, no. 1, pp. 1–23, 2021. [Google Scholar] [Crossref]
32. A. Ismail, R. Mukayah, and M. A. Rahman, “Artificial intelligence in language learning: A review of recent studies,” Education and Information Technologies, vol. 27, 2022. [Google Scholar] [Crossref]
33. R. Mukayah, A. Ismail, and N. A. Aziz, “Technology-assisted language learning: Trends and challenges in AI integration,” Journal of Language Teaching and Research, vol. 13, no. 2, pp. 245–253, 2022. [Google Scholar] [Crossref]
34. D. Merchant, E. T. Goetz, L. Cifuentes, W. Keeney-Kennicutt, and T. J. Davis, “Effectiveness of virtual reality-based instruction on students’ learning outcomes,” Computers & Education, vol. 174, Art. no. 104305, 2022. [Google Scholar] [Crossref]
35. J. Giannakos, M. Troussas, and C. Sgouropoulou, “Artificial intelligence in education: Teachers’ perceptions and challenges,” Computers in Human Behavior Reports, vol. 8, Art. no. 100245, 2022. [Google Scholar] [Crossref]
36. A. Koutromanos and A. Jimoyiannis, “Teachers’ attitudes toward the use of artificial intelligence in education,” Education Sciences, vol. 12, no. 7, Art. no. 452, 2022. [Google Scholar] [Crossref]
37. J. Belda-Medina and G. Marrahi-Gómez, “ChatGPT in foreign language education: Opportunities and challenges,” Teaching English with Technology, vol. 23, no. 1, pp. 1–17, 2023. [Google Scholar] [Crossref]
38. A. Yilmaz, F. G. Karaoglan-Yilmaz, and S. S. Sezer, “Artificial intelligence applications in education: A systematic review,” Educational Technology Research and Development, vol. 71, pp. 1–29, 2023. [Google Scholar] [Crossref]
39. K. H. Cheng, G. J. Hwang, and C. K. Chen, “Effects of artificial intelligence-based learning systems on students’ learning performance,” Educational Technology & Society, vol. 26, no. 2, pp. 1–14, 2023. [Google Scholar] [Crossref]
40. M. Baig and M. Yadegaridehkordi, “The role of artificial intelligence in education: A review of ethical and pedagogical issues,” Education Sciences, vol. 13, no. 2, Art. no. 110, 2023. [Google Scholar] [Crossref]
41. A. Omar, R. Ramli, and M. Hassan, “Digital readiness and artificial intelligence adoption among teachers,” Journal of Educational Technology Systems, vol. 52, no. 1, pp. 45–62, 2023. [Google Scholar] [Crossref]
42. N. Nikou and A. A. Economides, “Mobile-based assessment using artificial intelligence: A systematic review,” Computers & Education, vol. 195, Art. no. 104695, 2023. [Google Scholar] [Crossref]
43. G. J. Hwang and Y. F. Tu, “Roles and research trends of artificial intelligence in language learning,” Interactive Learning Environments, vol. 31, no. 6, pp. 3250–3265, 2023. [Google Scholar] [Crossref]
44. R. Ramli and M. Hassan, “Ethical challenges of artificial intelligence in education,” Malaysian Journal of Learning and Instruction, vol. 20, no. 1, pp. 1–20, 2023. [Google Scholar] [Crossref]
45. J. Garzón, “Artificial intelligence in education: A meta-analysis of learning outcomes,” Computers in Human Behavior, vol. 139, Art. no. 107500, 2023. [Google Scholar] [Crossref]
46. S. K. Sarker, A. R. Rahman, and M. S. Islam, “Artificial intelligence for low-resource language learning: Opportunities and constraints,” Language Learning & Technology, vol. 28, no. 1, pp. 45–66, 2024. [Google Scholar] [Crossref]
47. M. T. Abdul Ghani, N. Zainuddin, and N. A. Suhaimi, “Policy readiness for ethical AI integration in education,” Journal of Educational Policy, vol. 39, no. 2, pp. 215–231, 2024. [Google Scholar] [Crossref]
48. S. Troussas, C. Sgouropoulou, and J. Giannakos, “Artificial intelligence-supported learning analytics: A review,” Education and Information Technologies, vol. 29, pp. 567–589, 2024. [Google Scholar] [Crossref]
49. P. Mishra, D. Henriksen, and N. Oster, “Generative artificial intelligence and teacher professional development,” TechTrends, vol. 69, no. 1, pp. 12–21, 2025. [Google Scholar] [Crossref]
50. S. S. Gurunathan and S. Kaviya, “Exploring AI’s impact on education: Teacher intuitions from Tamil Nadu,” International Journal of Research Publication and Reviews, vol. 6, no. 2, pp. 2268–2273, 2025. https://doi.org/10.55248/gengpi.6.0225.0915 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- The Role of Artificial Intelligence in Revolutionizing Library Services in Nairobi: Ethical Implications and Future Trends in User Interaction
- ESPYREAL: A Mobile Based Multi-Currency Identifier for Visually Impaired Individuals Using Convolutional Neural Network
- Comparative Analysis of AI-Driven IoT-Based Smart Agriculture Platforms with Blockchain-Enabled Marketplaces
- AI-Based Dish Recommender System for Reducing Fruit Waste through Spoilage Detection and Ripeness Assessment
- SEA-TALK: An AI-Powered Voice Translator and Southeast Asian Dialects Recognition