Curriculum-Aligned AI Educational & Diagnostic Platform

Learn, Test & Excel with AI

Curriculum-aligned AI educational testing and diagnostic assessment platform grounded in school curriculum textbooks available on e-derslik.edu.az. Practice topic-aligned tests and elevate your academic performance.

PEDAGOGICAL MISSION & PURPOSE

What is TESTAI.AZ and How Does It Help?

TESTAI.AZ is an innovative AI-powered educational testing and diagnostic platform grounded in official curriculum textbooks (e-derslik.edu.az). Leveraging advanced RAG architecture, questions are semantically grounded in textbook passages to minimize deviations and hallucinations.

πŸ’‘ Through real-time Parent Dashboards, parents do not have to struggle through study sessions under nervous tension; the system analyzes topic-specific strengths and weaknesses in minutes and delivers the findings directly to the parent.

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Official Textbooks

Curriculum-aligned with authorized textbooks from e-derslik.edu.az

AI Test Generator

Curriculum-aligned diagnostic tests powered by SITG standards and semantic grounding

Personalized Parent Dashboard

Objective academic trajectory tailored by grade, school, and learning pace

Deep Analytical Diagnostics

Comprehensive breakdown of strengths, weaknesses, and pedagogical guidance

How It Works

1

Create Account

Enter basic student details, school, and current grade level

2

Select Subject & Topic

Choose the textbook unit and topic you wish to master

3

Practice & Progress

Solve AI-generated questions and receive immediate diagnostic feedback

PEDAGOGICAL INTELLIGENCE & ARCHITECTURE

TESTAI.AZ Methodology: RAG, KAG & Backward Mapping

Unlike conventional quiz sites, TESTAI.AZ is engineered around foundational AI architectures designed to measure conceptual mastery rather than rote memorization.

RAG Architecture

Curriculum-Anchored Retrieval (Hallucination-Minimized)

Our engine never ingests unverified web trivia. Every diagnostic test item is semantically grounded directly in official textbooks approved by the Ministry of Science and Education (e-derslik.edu.az), significantly minimizing hallucinated distractors and out-of-syllabus tangents.

Textbook-grounded assessment with curriculum-alignment controls
KAG Knowledge Graphs

Cross-Subject Semantic Pre-requisites

Academic concepts are structured into an interconnected graph rather than isolated silos. If a student struggles with Newton's laws in Physics, KAG maps this deficit directly back to foundational mathematical vectors and algebraic representations.

Multi-dimensional interdisciplinary links
Backward Mapping

Retroactive Cognitive Diagnosis (Root Cause Analysis)

When an 8th-grade student fails an advanced algebra or stoichiometry problem, the core bottleneck frequently stems from a 5th-grade fractional gap. Our diagnostic engine traces back the cognitive path to identify potential prerequisite cognitive gaps.

Curriculum-guided prerequisite gap identification
Parent Intelligence

Empowering Parents: Targeted Micro-Practice Recommendations

Parents no longer endure intense homework friction or waste resources on unfocused tutoring. The Parent Dashboard helps identify potential conceptual blockers and suggests targeted micro-practice recommendations to steadily rebuild academic confidence.

Stress-free, targeted academic recovery
How Our Diagnosis Works: An Illustrative Case

❌Observed Mistake: 8th Grade Physics (Buoyancy & Density computation problem)

πŸ”Illustrative Diagnostic Scenario: In this case, the engine identifies that the student understands Archimedes' principle, but committed an error due to a 6th Grade Math decimal division prerequisite gap.

βœ…Targeted Action: Instead of blindly re-reading physics chapters, focused review of foundational decimal division strengthens the required prerequisite skill.

EDUCATIONAL RESEARCH & METHODOLOGY

Pedagogical Blog & Academic Research

Original papers and operational guides on curriculum RAG, cognitive Bloom taxonomies, and parent diagnostic intelligence.

Explore All 15 Articles
AI Architecture & Engineering10 min read

RAG in Education: Minimizing AI Hallucinations Through Textbook-Grounded Retrieval

Generative AI without retrieval frequently introduces unsupported assertions or unverified terminology. In educational assessment, minimizing hallucination is critical. This study details the engineering architecture of TESTAI.AZ's RAG pipeline, which anchors generated items to official school textbooks.

RAG ArchitectureTextbook GroundingAI Hallucination
2026-03-24Read article
FREQUENTLY ASKED QUESTIONS

Everything Parents & Students Need to Know

Learn how TESTAI.AZ empowers learners, ensures curriculum fidelity, and safeguards personal privacy.

Scores and performance metrics on TESTAI.AZ are supplementary diagnostic evaluations created to identify conceptual learning gaps. They do not constitute official school grades or Ministry diplomas.