Indian Journal of Language and Linguistics

Integrating Generative AI-Powered Tools for Vocabulary Instruction: Strategies for Indian ESL Learners – A Conceptual Analysis

2026-01-14T12:32:59+00:00

Generative Artificial Intelligence (Gen AI) presents ground breaking possibilities for vocabulary learning in English as a Second Language (ESL) environments. Gen AI tools are changing the world at an incredibly fast pace. Gen AI tools have come to play an important role in AI technology in the education field. The availability of multiple Gen AI tools is augmenting the level of education in India, especially in the teaching of the English language. This research proposes a conceptual framework along with the theoretical underpinnings for integrating Gen AI tools for vocabulary acquisition and learning. This research also analyses the integration of some Gen AI-based tools, like intelligent chatbots, adaptive learning systems, and AI-generated content tools, into vocabulary learning for Indian ESL students. The study selects effective tools and recommends teaching strategies dealt with conceptual framework and tailored to Indian ESL students' requirements. This research assesses the pedagogical impact of such Gen AI-based tools in enhancing engagement, autonomy. The results of the current study seek to offer useful recommendations for researchers, teachers, different stakeholders to implement Gen AI-driven tools for language learning and thus contribute to the existing debate on AI and Gen AI-supported language learning in India.

Generative AI in Pediatric Speech-Language Therapy: Prompt Engineering for Personalized and Efficient Clinical Care

2025-08-02T09:14:27+00:00

The integration of generative artificial intelligence (AI) into pediatric speech-language pathology (SLP) presents new opportunities for enhancing clinical efficiency, creativity, and personalized care. This article explores the emerging field of prompt engineering, the practice of crafting precise AI instructions to yield clinically relevant and developmentally appropriate outputs, and its transformative potential in speech therapy. The article outline essential prompt components and adaptable prompt patterns tailored for SLP applications, emphasizing how clinicians can leverage these tools to create individualized therapy materials across a range of disorders, including fluency, articulation, language delays, and social communication challenges. Furthermore, I introduce the adapted “SLP Prompt Canvas Toolkit,” a structured framework designed to guide clinicians in systematically developing effective prompts. By combining clinical expertise with AI capabilities, speech-language pathologists can optimize therapy planning, expand creative possibilities, and deliver evidence-based interventions more efficiently. Finally, the article address best practices, ethical considerations, and future directions to ensure that generative AI supports patient-centered care while maintaining accuracy and safety in clinical contexts.