OningEdu

Global · Targeting Specific Subjects

AI sports scienceBuilt for athletics/kinesiology.

The challenge

Kinesiology students and coaches often struggle to translate complex physiological concepts, such as ATP-CP cycles or eccentric loading dynamics, into actionable field-side drills while maintaining alignment with academic certification standards.

How AI Professor™ helps

AI Professor uses RAG technology to anchor responses in sports science textbooks, providing students with 24x7 clearance for doubts regarding musculoskeletal anatomy. The platform utilizes syllabus heatmaps to identify knowledge gaps in exercise physiology and offers a dedicated Coach Mode to simulate real-world athlete injury assessment scenarios.

Why athletics/kinesiology pick AI Professor™

Most "ai sports science" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with targeting specific subjects workflows, with branding, rosters, syllabus, exams and admin controls every decision-maker recognises.

What's in the box

A branded portal, an AI Teacher persona for every subject, 24×7 doubt-clearance, auto-graded worksheets and exams, handwriting evaluation, parent dashboards in regional languages, and a real admin console — usage, safety incidents, faculty workload.

Pricing & deployment

from $0.99 per student per month. A 14-day pilot covers branding, syllabus loading, teacher onboarding and parent communication. Full rollout typically takes 4–6 weeks.

Compliance & safety

Built for IB, Cambridge IGCSE, AP and Common Core. EU/US/IN data-residency options. SOC 2 posture, GDPR-friendly.

Frequently asked questions

How does AI Professor handle the nuances of biomechanics and gait analysis?

The system processes standardized biomechanical data against syllabus-specific parameters, allowing students to upload kinematic variables and receive immediate explanations of force production, torque, and joint angles based on established kinesiotherapy textbooks and peer-reviewed athletic standards.

Can the platform simulate periodization scheduling for competitive athletes?

Yes, using the pedagogical framework of sports management modules, AI Professor can generate macrocycle and microcycle training plans. This helps students understand the theoretical application of progressive overload and recovery phases while ensuring they meet the specific learning objectives of their curriculum.

Is the content aligned with international sports medicine certifications?

AI Professor utilizes RAG (Retrieval-Augmented Generation) to prioritize official textbook data from major sports science bodies. This ensures that the definitions and methodologies provided for topics like VO2 max testing or proprioceptive neuromuscular facilitation remain consistent with professional certification requirements.

How do educators monitor individual student progress in complex sports theory?

Through the educator dashboard, instructors can access analytics on student engagement with specific chapters like nutrition or sports psychology. Syllabus heatmaps display which physiological concepts are causing the most friction, enabling targeted intervention during practical lab sessions.

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