Prompt-Engineering Framework for Personalized AI Teaching Assistants: Implications for MENA Education

It is a methodology that adjusts textual instructions for large language models to tailor responses to individual learner needs, without retraining the model.

Unlike traditional methods that require retraining or massive data, this framework uses structured prompts for immediate, flexible personalization, reducing costs and speeding deployment.

Yes, it can be applied to existing AI assistants like Jill Watson, requiring only adaptation of the six dimensions to local contexts, making it a practical option for universities.