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

This model enables the effective integration of artificial intelligence tools at different stages of learning design, accelerating adaptation and increasing precision in the creation of materials. Artificial intelligence assists in prototyping, testing, analysis, and adaptive improvement of educational resources.

How artificial intelligence supports the SAM model:

• Prototyping with artificial intelligence
  With AI tools, sketches, scenarios, and educational content can be quickly created and then tested with learners.

• Testing analysis
  Artificial intelligence analyses data on learner behaviour and engagement during testing and automatically generates reports on the effectiveness of content and activities.

• Adaptive content improvement
  Based on testing results, AI can suggest changes to lesson structure, questions, examples, or visuals to achieve greater clarity and learning effectiveness.

Example:  

When creating an e-course on critical thinking, a team of instructors uses ChatGPT to quickly generate different versions of lesson scenarios. These versions are tested on a small group of students through microtests. AI analyses the results, identifies the parts that cause the most difficulties, and suggests specific changes. In this way, the content is gradually improved, and students participate in creating higher-quality and more relevant educational material.

Advantages and disadvantages of applying the SAM model with AI

Advantages:

• Enables rapid testing and improvement of content before final implementation
• Encourages student involvement in the development process through feedback and microtests
• Enables data-driven decisions about adjustments and changes
• Reduces the risk of failure because problems are identified early in the design phase
• Encourages collaboration between teachers, designers, and AI systems.

Disadvantages:

• Requires more time in the initial stages due to repeated testing
• Can create data saturation if analytics are not clearly structured
• Excessive automation can reduce the creativity and pedagogical intuition of designers
• Requires responsible interpretation of artificial intelligence analysis results and human judgment when making decisions about changes.

Reflective question:

• In your practice, how could you use an iterative approach and artificial intelligence tools to test and improve teaching materials before their final implementation?

More details about the SAM model and its use:

Successive Approximation Model (SAM)

SAM model in E-learning Development

SAM Model: An Agile Approach To Instructional Design