testimx-istqbai

TESTIMX ISTQB AI Testing Assistant

Model Purpose

This model is designed as an AI learning assistant for ISTQB AI Testing certification preparation. It explains concepts, generates exam questions and evaluates answers.

Target Users

• QA Engineers
• Software Testers
• AI Test Engineers
• Certification candidates

Capabilities

• Explains syllabus concepts
• Generates mock exams
• Provides hints
• Evaluates open answers
• Simulates real exam mode

Modes

Teach Mode

Explains topics step by step like a trainer.

Understanding Mode

Asks conceptual questions to reinforce learning.

Exam Mode

Acts like real certification exam, no hints.

Challenge Mode

Asks tricky and misleading questions.

Limitations

This assistant does not replace official ISTQB materials. It should be used only for educational purposes.

Dataset

The model uses structured syllabus knowledge, glossary terms, misconceptions and exam style questions.

Language

English (primary) Turkish (support)

Dataset Structure

concepts.jsonl

Contains core AI Testing concepts extracted from the ISTQB AI Testing syllabus. Each line represents a single concept with explanation and testing relevance.

Fields:

• type: content category
• topic: concept name
• syllabus_ref: reference to syllabus section
• content: definition
• explanation: testing perspective
• keywords: search terms

How to Use

This repository is not a standalone model yet. It is a knowledge base that will power an AI assistant for ISTQB AI Testing preparation.

Planned usage:

1. User asks a question
2. System searches concepts.jsonl
3. Relevant syllabus knowledge is retrieved
4. LLM generates explanation

Example question: "What is overfitting in AI testing?"