System for a Cloud-based Intelligent Tutoring System (ITS) using an Artificial Intelligence Engine

Smart overview of the Invention

The invention introduces a cloud-based Intelligent Tutoring System (ITS) powered by an Artificial Intelligence (AI) engine. This system aids teachers in crafting learning activities and gathers student participation and performance data using personal mobile devices. The data collected is processed by the AI to develop personalized tutoring plans, which are then delivered to students' mobile phones, enabling them to continue learning at their own pace outside the classroom. The system also accommodates students with visual impairments by switching from text to voice as needed.

Background

The invention aligns with educational frameworks like Bloom's taxonomy, emphasizing mastery learning, which promotes individualized instruction for improved student outcomes. Traditional one-to-one tutoring is not feasible due to the limited number of teachers compared to students. Before widespread mobile technology and AI integration, computer-based tutoring systems faced limitations in availability and capability. The invention addresses these challenges by utilizing AI to support a large number of students simultaneously without the need for extensive infrastructure.

Functionality

Students use personal computing devices to engage in classroom activities such as quizzes and attendance checks. These devices facilitate both text and voice interactions, catering to different learning needs. Data from these interactions is stored in a cloud-based system without requiring robust Internet infrastructure. The AI engine analyzes student performance data to create tailored tutoring plans that adapt dynamically based on various pedagogical theories, ensuring that each student's unique learning style is accommodated.

Technological Integration

Mobile technology plays a crucial role in this system, allowing for seamless communication between student devices and cloud services through SMS, MMS, and web-hooking technologies. This setup provides personalized learning experiences without relying on costly Internet connections. By leveraging mobile devices' unique identifiers, the system exchanges data to engage students actively in both classroom and remote learning environments.

Innovative Approach

The system's AI capabilities extend beyond traditional tutoring by evaluating historical performance data to refine and optimize tutoring strategies continuously. It dynamically updates content based on real-time student feedback and external knowledge sources from the Internet. This approach eliminates the need for human teachers in delivering personalized education while maintaining high standards of proficiency across various subjects as determined by educational authorities.