A2000 QUANTUM-ED AI (Tentative)

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Provide AI-powered online education for teaching in an interactive way that paces the learning capacity of each student that is individually profiled and learn according to their abilities. AI-driven interactive lessons and enable Adaptive learning Experience, including personalized learning pathways, assessments, and progress tracking, supported by a team of human facilitators for student engagement and troubleshooting.

WHAT PROBLEM DOES QUANTUM-ED AI SOLVE?

  • QUANTUM-ED AI is a powerful teaching methodology solving significant problems faced by students, parents, and educators today, especially when it comes to personalized, efficient, and flexible learning experiences.
  • By leveraging AI’s ability to offer personalized, flexible, and interactive learning experiences, it can provide a modern, efficient, and cost-effective solution for the academic struggles that students face in traditional settings.

See ADDENDUM 1 for the problems to be solved by QUANTUM-ED AI.

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OFFER

What We Offer

Student Profiling & Evaluation

  • AI-based analysis of student performance.
  • Personalized feedback and ratings based on previous answers.
  • Regular progress reports and performance analytics available for students and parents.

Dynamic Question Generation

  • Questions tailored to the student’s grade, subject, and difficulty level.
  • Adaptive difficulty adjustment based on the student’s last answer.

Subject & Grade Management

  • Support for multiple subjects (Math, Science, Language Arts, etc.).
  • Tailored content and questions according to grade levels.

Outcome Tracking & Reporting

  • Module-wise and topic-wise tracking of student progress.
  • Detailed analytics and reports for teachers, parents, and administrators.

User-Friendly Interface

  • Intuitive UI/UX for students, teachers, and administrators.
  • Mobile and web compatibility.

Human Facilitators

  • While AI leads lessons, a support team of tutors is available for real-time help and guidance via chat or video.

Pedagogy Selection

  • Support for multiple pedagogical methodologies (e.g., Bloom’s Taxonomy, Montessori, etc.)
  • Alignment of question generation and evaluation with selected pedagogy.

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