PROMPT ENGINEERING FOR FOREIGN LANGUAGE VOCABULARY EXERCISES

Authors

  • Normuratova Valentina Ivanovna Uzbekistan State World Languages University PhD, Associate Prof.

Keywords:

Artificial Intelligence (AI), prompt engineering, foreign language teaching methodology, vocabulary instruction, PPP model (Presentation-Practice-Production), lexical competence, collocations, contextual learning, pedagogical technologies, professional teacher training

Abstract

This article presents methodological recommendations for the effective use of prompt engineering in designing materials for the development of lexical competence. It justifies the necessity of combining the classic PPP (Presentation, Practice, Production) model with the capabilities of AI for the comprehensive study of lexical units. It is emphasized that vocabulary instruction requires a systematic approach, including the development of skills related to form (spelling, pronunciation), meaning, usage in context, and collocations.

Downloads

Download data is not yet available.

References

Andrew Walkley Prompts for developing vocabulary materials with AI

https://www.lexicallab.com/2025/07/prompts-for-developing-vocabulary-materials-with-ai/

Victor Azuaje A Prompt for Task-Based Activities in Foreign Language Teaching: Hacking LLMs for Communication with Purpose. https://www.linkedin.com/pulse/prompt-task-based-activities-foreign-language-teaching-victor-azuaje-04see

Faiz Algobaei, Elham Alzain Prompt engineering for non-native English learners: A generative AI approach to personalised language feedback https://doi.org/10.1016/j.ssaho.2025.102341

Downloads

Published

2026-05-05

How to Cite

Normuratova Valentina Ivanovna. (2026). PROMPT ENGINEERING FOR FOREIGN LANGUAGE VOCABULARY EXERCISES. Journal of Applied Science and Social Science, 16(5), 127–129. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4275

Issue

Vol. 16 No. 5 (2026): Journal of Applied Science and Social Science

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.