Skip to content
Open access

ChatGPT-Mediated Materials and Assessment Design in an Omani EFL Foundation Programme: An Intelligent-TPACK Case Study

Aug 2026 · Language, Technology, and Social Media · 0 citations · 40 references

TL;DR

The study shows that productive teacher–AI interaction is not one-step automation but a cycle of pedagogical specification, linguistic validation, contextual adaptation, and ethical judgement, and recommends targeted professional development and institution-level guidance for responsible generative-AI use in language teaching and assessment.

Abstract

Generative artificial intelligence can accelerate English-as-a-foreign-language (EFL) materials and assessment design, yet its pedagogical value depends on teachers’ capacity to evaluate linguistic quality, contextual appropriateness, and ethical risk. This interpretive case study examined how five General Foundation Programme EFL teachers at Sohar University, Oman, used ChatGPT to prepare instructional materials and design assessments. Semi-structured interview data were analysed deductively in NVivo through the Intelligent-TPACK framework and Braun and Clarke’s six-phase thematic procedure. The teachers used ChatGPT to develop speaking and writing tasks, reading passages, vocabulary and grammar exercises, lesson ideas, and formative assessments. Effective use was described as an iterative process involving explicit prompts, proficiency-level specifications, learning outcomes, templates or tables of specifications, output checking, and prompt refinement. Participants valued efficiency, ideation, and adaptability, but reported concerns about inaccurate or unreliable content, weak coherence and authenticity, cultural inappropriateness, data privacy, academic integrity, overreliance, and the possible erosion of teacher and learner creativity. The study shows that productive teacher–AI interaction is not one-step automation but a cycle of pedagogical specification, linguistic validation, contextual adaptation, and ethical judgement. It recommends targeted professional development and institution-level guidance for responsible generative-AI use in language teaching and assessment.

Read PDF

Similar papers

Open access Aug 2026

A Qualitative Thematic Analysis of ChatGPT-4 Integration in Extensive Reading to Enhance Critical Thinking in EFL Higher Education

The findings demonstrate that ChatGPT-4 operates effectively as an artificial mediational tool within the Zone of Proximal Development when paired with structured prompts and teacher-led reflection, transforming learners from passive consumers into active, analytical evaluators.

Fina Khiyarotun Nisa, R. Haryanti · 0 citations
Open access Aug 2026

A CASE STUDY OF CHATGPT-INTEGRATED GENRE-BASED INSTRUCTION FOR EFL NARRATIVE WRITING DEVELOPMENT

Although the use of a genre-based approach in teaching writing has been extensively researched, little is known about how AI technology is incorporated into such an approach to assist Indonesian EFL students in developing their writing skills. To fill this gap, this study investigates the incorporation of AI technology...

Ahmad Syairofi · 0 citations
Open access Aug 2026

How preservice teachers evaluated the accuracy of ChatGPT-generated solutions of curriculum-based mathematical word problems in a self-directed context

The increasing availability of ChatGPT and its capacity to generate solutions to mathematical problems has raised important questions for mathematics education, particularly regarding how preservice teachers engage in evaluating ChatGPT-generated mathematical solutions. Although prior research has examined the peda...

S. C. Mahlaba · 0 citations
#large language models Open access Sep 2026

Design and Evaluation of a RAG-Based Educational Assistant Grounded in Course Materials: A Case Study in Vocational Training

This study presents the design, implementation, and exploratory classroom evaluation of a course-constrained educational assistant combining Retrieval-Augmented Generation (RAG) with large language models (LLMs) in Vocational Education and Training (VET). The platform retrieves teacher-provided materials, generates cou...

Jaime Dionisio Burillo, Raquel Hijón-Neira, Oriol Borrás-Gené · 0 citations
Open access Sep 2026

Explanations from ChatGPT: Targeted Task Improvements but No Generalized Gains in Metacognitive Abilities for Intermediate Language Learners

Metacognition is crucial for self-directed second language acquisition, yet fostering it remains challenging for intermediate learners. Explainable Artificial Intelligence (AI), such as ChatGPT, offers a novel approach by providing transparent feedback, potentially scaffolding learners' metacognitive processes. This st...

Mohammad Mousazadeh · 0 citations
Review Open access Jul 2026

Language and Communication Students' Perceived Mastery in AI Chatbot Prompt Engineering: A Study on Vibe Coding in Educational Mobile Application Development

Results indicate that students usually begin tasks with structured prompts but later move towards mixed or unstructured prompting styles, suggesting a control-then-explore sequence, and suggest that scaffolded instruction in prompt engineering can support more confident and consistent student use of AI chatbots.

Nur Izzati Khairuddin, M. Rashid, H. A. Mohamad et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.