NOVICE/PRESERVICE ENGLISH LANGUAGE EDUCATORS’ TECHNOLOGICAL PEDAGOGICAL AND CONTENT KNOWLEDGE IN MATERIALS DEVELOPMENT: A CASE STUDY

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Shahzadi Kulsoom
Hammad Ahmad
Aliza Manzoor

Abstract

This study examines how novice English language teachers can effectively integrate ChatGPT into English Language (ELT) material development using the TPACK framework. Through qualitative methods, including semi-structured interviews and checklist creation, the research highlights the importance of well-structured prompts in leveraging ChatGPT’s capabilities. By focusing on the pedagogical, content, and technological aspects, this study explores teachers’ perceptions of Chat GPT in material development. The findings emphasize the strategic design of prompts as essential for ensuring the quality and relevance of AI-generated ELT content. This research aims to illuminate the intersection of ChatGPT and teaching methodologies, underscoring the value of the TPACK framework in contemporary language education. The insights gained will contribute to understanding how AI tools can enhance teaching practices and support the development of innovative educational materials.

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How to Cite
Shahzadi Kulsoom, Hammad Ahmad, & Aliza Manzoor. (2024). NOVICE/PRESERVICE ENGLISH LANGUAGE EDUCATORS’ TECHNOLOGICAL PEDAGOGICAL AND CONTENT KNOWLEDGE IN MATERIALS DEVELOPMENT: A CASE STUDY. International Journal of Contemporary Issues in Social Sciences, 3(2), 2310–2318. Retrieved from https://ijciss.org/index.php/ijciss/article/view/954
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