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Every algorithm, every question sequence, and every AI interaction in Alfanumrik is grounded in peer-reviewed learning science and responsible AI principles.
Our adaptive engine draws on decades of cognitive science and educational psychology research.
We model each student's mastery as a probability distribution, updated in real-time as they answer questions. This lets us estimate not just what they know, but how confident we are in that estimate.
Questions are tagged across six cognitive levels — Remember, Understand, Apply, Analyze, Evaluate, Create. Students progress upward only when lower levels are mastered.
Adaptive difficulty keeps students in the sweet spot — challenging enough to grow, but not so hard they disengage. Based on Vygotsky's foundational learning theory.
The SuperMemo SM-2 algorithm schedules review sessions at increasing intervals, optimizing the transfer from short-term to long-term memory.
AI in education demands the highest standards of safety, accuracy, and age-appropriateness.
All AI-generated responses pass through multi-layer content filters ensuring age-appropriate, safe, and educational content only.
Foxy adjusts language complexity, examples, and tone based on the student's grade level and age.
AI responses are grounded in NCERT textbooks and CBSE curriculum. Foxy never teaches content outside the approved syllabus.
Retrieval-augmented generation (RAG) with curriculum-specific embeddings ensures factual accuracy. Confidence scoring flags uncertain responses for review.
Our assessment framework goes beyond right and wrong to understand how students think.
Each question is calibrated using IRT parameters — difficulty, discrimination, and guessing. This enables precise measurement of student ability independent of the specific questions asked.
Quiz sessions are designed to manage intrinsic, extraneous, and germane cognitive load. Question sequencing and hint systems prevent overload.
Wrong answers are categorized as careless errors, conceptual misunderstandings, or misinterpretations. Each type triggers different remediation strategies.
Student data is a sacred trust. Our data practices reflect that responsibility.
Full compliance with the Digital Personal Data Protection Act, 2023. Lawful basis for processing, data principal rights, and grievance redressal mechanisms.
We collect only what's necessary for the learning experience. No unnecessary personal data collection, no behavioral tracking for advertising.
Alfanumrik will never show ads to students. Student data is never used for advertising purposes or sold to third parties.
Students under 13 require verified parental consent before account creation, in compliance with DPDPA child data protection provisions.