The AI Intelligent Cognitive Learning System is a new model of intervention for special children. Through a one-to-one digital intervention system and support services, there are two classes a day; each class is 30 minutes long, providing intelligent assessment and individualized rehabilitation training for children over two years old and whose cognitive development is less than 72 months old.

Based on evidence-based medicine, this rehabilitation model has been substantiated for safety and effectiveness through research conducted by an authoritative expert team. It relies on children's developmental milestones and principles of neural plasticity, employing behavioral analysis intervention strategies to effectively improve the cognitive deficits in children with autism, developmental delays, and intellectual disability, thereby improving their social adaptive skills.

The system is driven by software programs and combines advanced artificial intelligence algorithms, massive material content, and scenario simulation strategies to provide children with personalized, interactive, multi-scenario intervention experiences, allowing them to receive professional training at home.

The AI Intelligent Cognitive Learning System is suitable for children over two years old with cognitive development under 72 months old. Children need to have the following skills before using the learning system.

The child has been exposed to touch screens, has a certain interest in them, and can complete simple touch screen operations such as clicking and dragging.

The child can sit still at the table for more than 5 minutes to complete simple tasks, such as tabletop turn-based teaching courses, simple crafts, simple building toys, etc.

When motivated by reinforcements (such as favorite snacks, toys, praise, etc.), the child can complete simple tasks with the caregiver or the digital system.

The child can imitate simple actions like the caregiver's click-and-drag operations on the screen.

Bonus: If your child has fewer problem behaviors and can understand and cooperate with simple instructions, he or she will be better able to use the AI Intelligent Cognitive Learning System.

The AI Intelligent Cognitive Learning System can provide intelligent assessment and individualized rehabilitation training for children with special needs, using digital medical intervention strategies that are more efficient and more in line with children's abilities and interests so that children can gain cognition, understanding, perception, logic, concentration, and other aspects of skills improvement.

The research team conducted a randomized controlled trial on the AI Intelligent Cognitive Learning System to explore the effectiveness of digital cognitive intervention for children with autism. The study results show that after ten weeks of intervention, the cognitive performance of children in the digital cognitive intervention group improved significantly, and their developmental age in months was 24.1% higher than that of children in the conventional intervention group. Such results indicate that digital cognitive intervention significantly improves the cognitive performance and overall development ability of children with autism.

1.Cognitive ability assessment Module

Cognitive ability assessment aims to find the child's baseline ability and lagging areas to design a personalized, all-around, and targeted cognitive intervention training program for him.

The assessment mainly involves 89 cognitive ability milestones, including four major ability areas: language understanding, perception and thinking, number concepts, and academic transfer, and is expressed in games.

After all assessments are completed, the system will provide you with a detailed assessment report, showing you the child's developmental stages and ability levels in different areas, analyzing the relationship between relevant items and brain areas, and giving subsequent training suggestions and focuses.

2.Intervention training module

The training mainly focuses on children's abilities in four areas: language understanding, perception and thinking, numerical concepts, and academic transition, covering 138 key intervention items and more than 2,000 intervention targets for developmental milestones. Each project is divided into four stages: acquisition, generalization, mastery, and maintenance to help children build, expand, consolidate, and maintain skills. The training involves various mini-games, flexible assistance methods, and diversified game scenarios. It relies on a robust internal adaptive algorithm to adjust training difficulty promptly to maintain children's intervention activities, thereby achieving the shortest path to recovery.

Combined with offline rehabilitation experience, the AI Intelligent Cognitive Learning System has conducted a more detailed difficulty split for each essential intervention item. The granularity of each difficulty level can meet the weakest users' needs and serve as a basis for this. The clues are added layer by layer, just like building blocks, to help children build a castle of abilities step by step.

After the day's training, the system will automatically provide generalized teaching and a personalized generalized teaching plan based on each child's current ability baseline to receive appropriate education. Each knowledge point of generalized teaching is related to the intervention goals in children's training one by one, increasing children's cognitive generalization opportunities in daily life.

3.Rehabilitation Center Module

The rehabilitation center provides caregivers, therapists, or doctors with specific personalized settings and service permissions. They can conduct children's pre-skill training, adjust background music, contact customer service, view solutions to common problems, etc.

After the child completes daily training, the caregiver will also receive the child's daily training report on the mobile phone and monthly periodic reports so that you can keep abreast of the child's progress data and make the intervention visually and data-based.