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

How AI supports the UCD model:

• Monitoring user behaviour 
  AI analyzes content usage patterns, time spent on specific activities, and methods of interacting with materials. Based on this data, the system suggests personalised adjustments to enhance the learning experience and increase student engagement.

• Chatbots and virtual assistants 
  AI-powered chatbots provide ongoing support to students by answering questions, explaining concepts, and offering additional resources when the system detects uncertainty or errors. Beyond their informative role, these tools also serve a motivational role, helping students maintain continuity and confidence throughout the learning process.

• Empathy analytics 
  Advanced AI systems analyse the tone, rhythm, and language of learners’ communication and can recognise emotional indicators such as frustration, demotivation, or confusion. When these are detected, the system automatically offers further clarification, suggests activities, or provides messages of support, fostering a more empathetic and human-centered digital learning environment.

Example:

An online course for adults uses an AI system that dynamically adjusts learning paths based on learners’ behaviour and reactions. For those who progress quickly, the system offers shorter modules and advanced tasks, while for those experiencing difficulties, it provides additional explanations, visuals, and extended time for tasks. In this way, AI fulfills the fundamental principle of the UCD approach – focusing the educational experience on the individual needs of each user.

Advantages and disadvantages of applying the UCD model with AI.

Advantages:

• Places learners at the center of the educational process, increasing engagement, motivation, and a sense of control over learning.
• Enables a high degree of personalisation through behavioural analytics and adaptive AI recommendations.
• Encourages an empathetic and responsive approach in the online environment, as AI systems can recognise emotional signals and respond promptly.
• Supports continuous improvement of content based on feedback and real user experiences.
• Relieves teachers by providing automated support and micro-interventions during the learning process.

Disadvantages:

• Requires the collection and processing of large amounts of personal data, raising concerns about privacy, ethics, and algorithm transparency.
• May lead to excessive automation in communication, diminishing the authenticity and human warmth of teacher support.
• Carries a risk of misinterpreting emotional signals, especially in multilingual or culturally diverse groups.
• Implementation requires technical support and ongoing monitoring of the AI solution’s effectiveness.
• Over-reliance on analytics can result in a superficial understanding of complex educational experiences.

Reflective question:

• How could you apply the principles of user-centered design in your teaching with the support of artificial intelligence, while still maintaining a human dimension in communication and student support?

Basics and application of UCD:

What is User Centered Design (UCD)?

User-Centered Design For eLearning