Problem addressed

Traditional education methods are often ineffective for people with intellectual disabilities. Existing digital tools are rarely tailored to their needs, leading to cognitive overload (Cognitive Load Theory (CLT)) and low engagement. This limits their ability to acquire essential life and work skills. The learning abilities of people with intellectual disabilities can vary significantly; therefore, an adaptive learning system is necessary that takes individual differences into account.

Innovative solution

CogHelp was developed with a focus on the learning processes and cognitive functioning of people with intellectual disabilities in mind. The platform was designed based on the latest cognitive psychological, pedagogical, and neuropsychological research to provide users with an optimal learning environment. 

The system is based on three main psychological principles: 1. Cognitive Load Theory - CLT; 2. Gamification and motivational mechanisms (Dopamine-based learning); 3. Supporting neurodiversity and adaptive learning (Personalized education). 

1. Cognitive Load Theory - CLT. 

The CogHelp platform reduces cognitive load through the following methods: 

• Visual support ➢ Color-coded systems help you process information quickly. ➢ Simple and contrasting icons for easy visual recognition. 

• Minimal text information ➢ Narrated instructions and icons instead of short, simple sentences. ➢ Text-to-Speech (TTS) function that reads instructions aloud. 

• Progressive complexity ➢ Students’ progress from basic tasks to more complex tasks. ➢ AI-based difficulty level adjustment based on student performance. 

2. Gamification and motivational mechanisms (Dopamine-based learning).

 The CogHelp platform reduces cognitive load through the following methods: 

• Reward mechanisms ➢ Digital medals and badges that indicate achievements. ➢ Levels and challenges that increase motivation. 

• Support for self-paced learning ➢ Users can progress through tasks at their own pace. ➢ AI algorithms automatically adjust challenges to performance. 

• Competition and community learnings ➢ Multiplayer and cooperative learning opportunities. Students can solve tasks together. ➢ Real-time leaderboards and performance reviews. Gamification not only increases interest, but also helps develop the emotional aspects of learning, which can be particularly important for people with intellectual disabilities. 

3. Supporting neurodiversity and adaptive learning (Personalized education). 

The CogHelp platform reduces cognitive load through the following methods: 

• AI-powered personalized learning ➢ The system continuously analyses students' performance and makes individual suggestions for next steps. ➢ Fine-tune learning paths using Machine Learning models (scikit-learn, TensorFlow). 

• Sensory support and multisensory education ➢ Providing visual, auditory, and tactile feedback. ➢ Support for touch screen interactions and haptic feedback.

 • Integration of supporting technologies ➢ Text-to-Speech (TTS) ➢ Speech-to-Text (STT) ➢ Virtual mentors and chatbots: For immediate assistance. 

• Optimizing learning pace ➢ If a user makes too many mistakes in a module, the system automatically suggests a simpler version. ➢ More complex, multi-step tasks are available for fast-progressing students. 

Psychologically based interaction models 

The system's user interactions were designed based on cognitive and behavioral psychology models 

Psychological principle: Selective attention, Implicit learning, Behavioral conditioning, Social learning

Application in CogHelp  Highlighted visual elements and minimal distractions, Repetition mechanisms embedded in exercises, Reward system for correct answers, Collaborative tasks.

Key results and benefits

-34% increase in task completion without assistance 

-Accuracy improved from 65% to 87% 

-Learning sessions became 40% more time-efficient, after the introduction of individual learning paths, the average task completion time decreased from 12 minutes to 7 minutes, indicating faster understanding and more efficient information processing. 

-Daily usage nearly doubled from 20 to 45 minutes 

-Significant improvement in users’ decision-making and cognitive autonomy

-Tasks can be completed an average of 25% faster 

-The average learning time was reduced by 30% because the tasks were more accurately tailored to the users' abilities

Potential for mainstreaming

The platform can be adapted for various educational and rehabilitation settings. Future developments include new simulation modules, advanced AI personalisation, institutional integration, and gamified mentoring. CogHelp has the potential to become a key tool in inclusive education and lifelong learning. 

Customer service contact: info@balazslaki.info