Built for useful reflection
AurorIQ is a collection of browser-based educational tasks and self-assessments. Muhammad Ali created and maintains it. The goal is to help a visitor move from a task result to a question worth exploring or a practical next step.
How the tools are designed
Published research supplies concepts such as working memory and vocational interests. AurorIQ chooses its own short tasks, scoring rules and presentation. Those choices need evidence of their own: a paper about a construct does not validate this site's implementation. The methodology explains the reasoning bank, model assumptions and missing validation work.
What a result can tell you
A result describes answers or performance in the current task, under the conditions of that session. Raw accuracy, timing or self-reported preferences can help you choose something to practise or discuss. A short result cannot establish your potential, an official IQ, a diagnosis, employment suitability or an educational placement.
Evidence you can inspect
Educational guides link relevant claims to research and distinguish them from AurorIQ-specific choices. Editorial standards explain source selection, AI assistance and responsibility. No independent clinical peer review or representative norming study is claimed.
Privacy and funding
The assessment engine scores answers in your browser; some results and progress are saved on the device. Hosting, optional analytics, advertising and user-initiated sharing have separate data implications. Read the privacy notice and advertising disclosure before sharing sensitive information.
Help improve the project
Use the corrections process to flag a factual mistake, question ambiguity, broken task or citation problem. The trust center brings these policies together.