Towards Reliable Utilization: An Instructional Design Model for Integrating Generative Pre-trained Transformer (GPT) in Education

The rapid progress in artificial intelligence has brought in innovative opportunities for enhancing education through the integration of Generative Pre-Trained Transformer (GPT) technology. This research presents a comprehensive model, the Generative Pre-Trained Transformer Instructional Design (GPTID) model, designed to seamlessly integrate GPT capabilities into educational programs. The model's development encompasses a meticulous three-stage process, consisting of prototype creation, expert validation, and refinement. The GPTID model encompasses seven phases, each highlighting specific steps and considerations for educators. The phases include Needs Analysis, GPT Tools Planning, Ethical Framework, Prompt Engineering, Implementation, Evaluation, and Recommendations. Throughout this study, an emphasis is placed on ethical considerations, user guidance, and systematic evaluation, ensuring the responsible and productive utilization of GPT technology in educational settings. Future research recommendations focus on the evaluation of the model's effectiveness across various educational settings, promoting continuous refinement and optimization for enhanced learning outcomes. This research provides a valuable framework for educators and instructional designers to utilize the potential of GPT technology to enhance educational practices, foster engagement, and promote responsible AI integration in education.