Speaker
Description
This presentation chronicles one educator's journey from avoiding to adopting AI for materials development. The session will detail the practical application of AI in publishing a textbook and developing software, sharing specific prompts and successful strategies. Emphasis will be placed on crucial pitfalls, such as content hallucinations, the necessity of double-checking generated content, and how to ethically use this new tool in materials development.
Abstract section 2: Contribution/research questions
This presentation addresses three key aims: 1) To share successful, reproducible prompts for leveraging AI in high-stakes materials creation (Federiakin, 2024). 2) To provide cautionary examples of AI pitfalls, such as factual errors and hallucinations, illustrating the necessity of human oversight. 3) To discuss strategies for helping students navigate the ethical and practical integration of AI tools into their own EAP academic preparation.
Abstract section 5: References
Federiakin, D., Molerov, D., Zlatkin-Troitschanskaia, O., & Maur, A. (2024). Prompt engineering as a new 21st century skill. Fronteirs in Education.
Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. RELC Journal, 54(2), 445-451.
Zerey, M. (2025). Developing AI-Supported Classroom Materials: Lecturer Insights and Practical Strategies. The Journal of Language Teaching and Learning.
Abstract section 3: Content/method
This presentation shares detailed, practical evidence from two recent, large-scale projects: publishing a new academic textbook and developing an educational software tool. The content will analyze the specific text and multimedia prompts used for idea generation, content drafting, and assessment item creation. It will also include empirical examples of AI-generated content and the necessary editing workflow required to ensure accuracy, pedagogical effectiveness, and academic rigor.
Abstract section 1: Relevance
The rapid proliferation of generative Artificial Intelligence (AI) poses significant challenges and opportunities for language educators (Hockly, 2023; Zerey, 2025), particularly in materials development and academic honesty. While some instructors remain hesitant, AI technology is a tool students will increasingly rely on for the foreseeable future. This presentation describes the personal journey of one educator moving from initial AI avoidance to proactive adoption. The aim is to demystify Large Language Models (LLMs) and illustrate their practical implementation within the field of English for Academic Purposes (EAP), focusing specifically on large-scale material creation.
Abstract section 4: Outcomes/results
Attendees will learn how to transition AI from a threat to a valuable professional partner, significantly reducing development time while maintaining quality. We will discuss critical safeguards, including double-checking content for basic errors (e.g., misnaming places) and ensuring alignment between generated content and learning objectives. Ultimately, the discussion will provide a framework for confidently preparing teachers and students to use these tools ethically and effectively.
| Title | Vitamin AI: A Tale of Prompts, Pitfalls, and Publishing |
|---|---|
| Teaching Context | College and university education |