Document Type : Research Article

Authors

1 Assistant Professor of ELT, Department of English and Other Languages, GITAM School of Humanities and Social Sciences, GITAM (Deemed to be) University, Visakhapatnam, India

2 Learning Architect, Freelancer in Second Language Acquisition and, Founder of Balvikas Sutra, Pune, Maharashtra, India

10.22049/jalda.2026.31620.1998

Abstract

Despite growing interest in the field of digital andragogy as a framework to support self-paced learning of adult learners, its implications in India remain unexplored. There have been many scholarly articles published with regard to the examination of human-AI collaboration as a helpful tool to teach and learn a language. But in the context of India, similar studies cannot be applied with a unidirectional approach, given the multilinguistic population of the nation. Research shows that what dominates in the Indian classrooms of undergraduate degree programs is the soft skills training that tries to use the bilingual method of instruction wherever necessary. Therefore, with regard to the young adults pursuing professional studies in India, there has been an attempt to create an AI-infused space with adaptive technology to cater to the needs of a multivocal audience has manifested in the form of Anuvadini AI. Anuvadini AI is an initiative of the Ministry of Education (MoE) to create an artificially intelligent platform with a human in the loop. In this study, the offerings of Anuvadini AI platform will be examined to further investigate its applicability in the field of soft skills training imparted to young adults. The thrust of the study’s methodology will be on design-based research that will propose a framework for developing autonomous learning styles of the target group through conceptualizing and iteratively refining the andragogical recommendations. The current research will serve to be pioneering work on studying the implications of Anuvadini AI for delivering quality digital education for all.

Keywords

Main Subjects

Article Title [Persian]

استفاده از هوش مصنوعی Anuvadini برای آموزش مهارت‌های نرم: گذار جوانان از کمک گیری به خودمختاری

Authors [Persian]

  • دکتر پرونما باقچی 1
  • دکتر نیشا ناواره 2

1 استادیار آموزش زبان انگلیسی، گروه زبان انگلیسی و سایر زبان‌ها، دانشکده علوم انسانی و اجتماعی گیتام، دانشگاه گیتام، ویساکاپاتنام، هند

2 طراح یادگیری، متخصص مستقل در حوزه فراگیری زبان دوم و بنیان‌گذار «بالویکاس سوترا»، پونا، ماهاراشترا، هند

Abstract [Persian]

با وجود اقبال روزافزون به حوزه «آندراگوژی دیجیتال» (آموزش بزرگسالان در بستر دیجیتال) به عنوان چارچوبی برای حمایت از یادگیریِ متناسب با سرعتِ فردیِ فراگیران بزرگسال، پیامدهای آن در هند همچنان ناشناخته مانده است. مقالات علمی بسیاری در زمینه بررسی همکاری انسان و هوش مصنوعی به عنوان ابزاری کارآمد برای آموزش و یادگیری زبان منتشر شده است؛ اما با توجه به تنوع زبانی جمعیت هند، نمی‌توان مطالعات مشابه را با رویکردی یک‌سویه در این کشور به کار بست. پژوهش‌ها نشان می‌دهند که در کلاس‌های مقطع کارشناسی در هند، آموزش «مهارت‌های نرم» غالب است و در آن تلاش می‌شود تا در صورت لزوم از روش تدریس دوزبانه استفاده شود. از این رو، برای پاسخگویی به نیازهای مخاطبانی با پیشینه‌های زبانی گوناگون در میان جوانانی که دوره‌های آموزش حرفه‌ای را در هند می‌گذرانند، تلاش‌هایی برای ایجاد فضایی مبتنی بر هوش مصنوعی و فناوری‌های انطباق‌پذیر صورت گرفته که در قالب سامانه «Anuvadini AI» نمود یافته است. هوش مصنوعی آنوادینی ابتکاری از سوی وزارت آموزش هند برای ایجاد پلتفرمی مبتنی بر هوش مصنوعی با سازوکار «انسان در چرخه» است. در این پژوهش، قابلیت‌ها و امکانات پلتفرم «Anuvadini AI» بررسی می‌شود تا کاربرد آن در حوزه آموزش مهارت‌های نرم به جوانان ارزیابی گردد. محور اصلی روش‌شناسی این پژوهش، «پژوهش مبتنی بر طراحی» است که با مفهوم‌سازی و اصلاح تدریجی و تکرارشونده‌ی توصیه‌های آندراگوژیک، چارچوبی را برای توسعه سبک‌های یادگیری مستقل در گروه هدف پیشنهاد می‌کند. پژوهش حاضر به عنوان کاری پیشگام در مطالعه ثمرات «Anuvadini AI» در جهت ارائه آموزش دیجیتال باکیفیت برای همگان عمل خواهد کرد.

Keywords [Persian]

  • هوش مصنوعی Anuvadini
  • جوانان
  • آموزش مهارت‌های نرم
  • آندراگوژی دیجیتال
  • یادگیری خودمختار
All India Council for Technical Education. (2026, March 27). Anuvadini AI Bujji [AI translation tool]. https://translation.aicte-india.org/translation-independent/
Anuvadini AI. (2026, March 24). Anuvadini AI Chutki [Large language model]. All India Council for Technical Education. https://translation.aicte-india.org/translation-independent/Text-Editor/
Brown, C., Gross Ophoff, J., & Handscomb, G. (2024). Quality education for all in an ideas-informed society: Exploring idea-engagement amongst friendship networks and how education can prevent idea “echo-chambers.” Quality Education for All, 1(1), 70–85. https://doi.org/10.1108/QEA-10-2023-0003
Byers-Heinlein, K., Burns, T. C., & Werker, J. F. (2010). The roots of bilingualism in newborns. Psychological Science, 21(3), 343–348. https://doi.org/10.1177/0956797609360758
Byers-Heinlein K, Lew-Williams C. (2013). Bilingualism in the Early Years: What the Science Says. Learning Landscapes, 7(1), 95-112. https://doi.org/10.36510/learnland.v7i1.632
Deming, D. J. (2018). The value of soft skills in the labor market. NBER Reporter, 2017(4).
Disalva, X., & Vijayakumar, M. (2019). English language teaching methodology. International Journal of Research in Engineering, IT and Social Sciences, 9(Special Issue), 1–8.
Dixit, K. K., & Padwad, A. (2018). Intentions for teaching and failures of learning: Historical roots of English-language education policies in post-Independence India. In N. McLelland & R. Smith (Eds.), The history of language learning and teaching III: Across cultures (pp. 246–260). Legenda. https://doi.org/10.2307/j.ctv16kkz1j.19
Esfandiari, R., & Allaf-Akbary, O. (2025). The Role of Individual Differences and AI Chatbots in EFL Learners’ Metadiscourse Realization in Expository Writing. Journal of Applied Linguistics and Applied Literature: Dynamics and Advances, 13(2), 77-104. https://doi.org/10.22049/jalda.2025.30323.1762   
Esmaeili, S. Z., Kuhi, D.و & Behroozizad, S. (2022). Cultivating Intercultural Communicative Competence Through Interculturally-Laden Tasks: A Qualitative Inquiry. Journal of Applied Linguistics and Applied Literature: Dynamics and Advances, 10(2), 183-209.  https://doi.org/10.22049/jalda.2022.27642.1389
ETEducation. (2026, June 11). India’s education revolution must focus on quality, innovation and AI readiness, say leaders at ETEducation Summit 2026. The Economic Times. https://education.economictimes.indiatimes.com/news/school-education/indias-education-revolution-must-focus-on-quality-innovation-and-ai-readiness-say-leaders-at-eteducation-summit-2026/131654249
Hoff, E. (2021). Why bilingual development is not easy. In J. J. Lockman (Ed.), Advances in child development and behavior (Vol. 61, pp. 129–167). Elsevier. https://doi.org/10.1016/bs.acdb.2021.03.002
Indian Institute of Technology Madras. (2025, September). IIT Madras launches AI-powered translation for 11 Indian languages in classrooms [LinkedIn post]. LinkedIn. https://www.linkedin.com/posts/reachiitm_iitmadras-educationforall-nep-activity-7375470652180541440-yPmB
Jaiswal, V. R. (2020). Soft skills training in Indian education: Necessity and implementation strategies. International International Journal of Innovative Research and Creative Technology, 10(4), 1–8. https://www.ijirct.org/viewPaper.php?paperId=2408016
Kachrapappu. (2026, February 28). In India, English is not a language anymore. It is a judgement. Medium. https://medium.com/@kachrapappu29/in-india-english-is-not-a-language-anymore-it-is-a-judgement-c4450ba2f703
Kasparian, K., & Steinhauer, K. (2017). When the Second Language Takes the Lead: Neurocognitive Processing Changes in the First Language of Adult Attriters. Frontiers in Psychology, 8, Article 389. https://doi.org/10.3389/fpsyg.2017.00389  
Knowles, M. S., Holton, E. F., III, & Swanson, R. A. (2015). The adult learner: The definitive classic in adult education and human resource development (8th ed.). Routledge.
Kousaie, S., Chai, X. J., Sander, K. M., & Klein, D. (2017). Simultaneous learning of two languages from birth positively impacts intrinsic functional connectivity and cognitive control. Brain and Cognition, 117, 49–56. https://doi.org/10.1016/j.bandc.2017.06.003  
Kumar, Y. V. R. (2026). AI-enhanced communication and soft skills training for undergraduate students in Telangana: Perceptions and outcomes in English language classrooms. International Journal of Innovative Research in Technology, 12(9), 1633–1640. https://doi.org/10.64643/IJIRTV12I9-192499-459
Li, J., Yuan, D., & Gao, W. (2026). The effects of textual enhancement and individual differences on L2 incidental vocabulary learning via bilingual subtitles. Journal of Language and Education, 12(1), 146-159. https://doi.org/10.17323/jle.2026.26989   
Littlewood, W. (1981). Communicative language teaching: An Introduction. Cambridge University Press.
Mandal, P. (2017). Problems of teaching and learning in English in India. International Journal of Applied Research, 3(10), 376-378.
McKenney, S., & Reeves, T. C. (2018). Conducting educational design research. (2nd ed.). Routledge. https://doi.org/10.4324/9781315105642
Meisel, J. M. (2019). Bilingual children: A guide for parents. Cambridge University Press.
Michael, V., & Kennedy, J. (2024). The problems and challenges to English language teaching in India: A review using Schwab's “curriculum commonplace” framework. South India Journal of Social Sciences, 21(7), 94–102. https://doi.org/10.5281/zenodo.15411707
Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6.
  http://dx.doi.org/10.1108/10748120110424816
Rukmini, S. (2019, May 14). In India, who speaks in English, and where? Mint. https://www.livemint.com/news/india/in-india-who-speaks-in-english-and-where-1557841152048.html
Salman, A. R., Ebadi, S., & Velayati, S. (2026). An exploration into Iraqi EFL learners’ acceptance of ChatGPT for language learning: A technology acceptance model study. Journal of Applied Linguistics and Applied Literature: Dynamics and Advances, 14(1), 99–122. https://doi.org/10.22049/jalda.2026.31224.1923
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Selwyn, N., Hillman, T., Eynon, R., Ferreira, G., Knox, J., Macgilchrist, F., & Sancho-Gil, J. M. (2020). What’s next for Ed-Tech? Critical hopes and concerns for the 2020s. Learning, Media and Technology, 45(1), 1–6. https://doi.org/10.1080/17439884.2020.1694945
UNESCO. (2023). Guidance for generative AI in education and research. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Williams, L., Parthasarathy, P., & Molnar, M. (2021). Measures of bilingual cognition – from infancy to adolescence. Journal of Cognition, 4(1), Article 45. https://doi.org/10.5334/joc.184
Yip, V., & Matthews, S. (2007). The bilingual child: Early development and language contact. Cambridge University Press.
Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Al Hafizh, M., Zakiyah, M., Syafitri, W., Nusi, A., & Hardiah, M. (2025). Generative AI as a cognitive co-pilot in English language learning in higher education. Education Sciences, 15(6), Article 686. https://doi.org/10.3390/educsci15060686