Introduction: Precision in Practice
A background in prompt engineering helps language educators refine curriculum development approaches, streamline lesson planning, and craft assessments and rubrics that address the diverse needs of multilingual learners (MLs). Educators can direct Large Language Models (LLMs) such as ChatGPT, ClaudeAI, Cohere, Gemini, and others to produce diverse forms of instructional content by crafting prompts to elicit specific language features, ranging from controlled grammar exercises to rubrics.
Cowin, J. (2025, March). Precision in practice: Structured prompting strategies to enhance TESOL. TESOL International On CALL Newsletter. https://my.tesol.org/news/1166339
Author: drcowinj
Dr. Jasmin (Bey) Cowin, an Associate Professor at Touro University, received the 2024 Touro University CETL Faculty Fellowship for Excellence in Teaching and the Rockefeller Institute of Government awarded her the prestigious Richard P. Nathan Public Policy Fellowship (2024-2025). As a Fulbright Scholar and SIT Graduate, she was selected to be a U.S. Department of State English Language Specialist. Her expertise in AI in education is underscored by her role as an AI trainer and former Education Policy Fellow (EPFP™) at Columbia University's Teachers College. As a columnist for Stankevicius, she explores Nicomachean Ethics at the intersection of AI and education. She has contributed to initiatives like Computers for Schools Burundi, served as a resource specialist for Amity University in Uttar Pradesh, India, and participated in TESOL "Train the Trainer" programs in Yemen and Morocco. Her research interests include simulations and metaverse for educators-in-training, AI applications in education and language acquisition and teaching, and distributed ledger technologies, with a focus on her 'Education for 2060' theme.
In conclusion, my commitment extends beyond transactional interactions, focusing instead on utilizing my skills and privileges to make a positive, enduring impact on the world.
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