Instructional design models for the use of artificial intelligence tools and systems

Pedagogical methods are the foundation of every teaching and learning process, as they determine how teaching will be modeled – how the learning process will be structured, guided, and evaluated.

Without a clear understanding and consistent application of appropriate pedagogical methods, the use of instructional design models and artificial intelligence tools can become ineffective or superficial. Pedagogical methods serve as a bridge between theoretical models and practical teaching, enabling technology, including artificial intelligence, to support the achievement of learning goals rather than being an end in itself.

By applying pedagogical methods, we can:

• Identify educational approaches that best suit the needs, knowledge level, and motivation of participants.
• Define activities and forms of interaction that foster meaningful and engaged learning.
• Guide content design, evaluation, and feedback toward actual learning outcomes.
• Select methods that enable the integration of artificial intelligence in ways that enhance engagement, reflection, and understanding.

In other words, pedagogical methods provide a framework that shapes how instructional design models are implemented in practice. In this context, artificial intelligence serves as a support and extension of pedagogical practice, not as a replacement.