ALEKS (Assessment and LEarning in Knowledge Spaces) is a ground-breaking technology developed from research at New York University and the University of California, Irvine, by a team of software engineers, mathematicians, and cognitive scientists with the support of a multi-million-dollar grant from the National Science Foundation. ALEKS is fundamentally different from previous educational software. At the heart of ALEKS is an artificial intelligence engine that assesses each student individually and continuously. ALEKS is based upon original theoretical work in a field of study called “Knowledge Space Theory.”
The most important feature of ALEKS (Assessment and LEarning in Knowledge Spaces) is that ALEKS uses artificial intelligence (AI) to map the details of each student’s knowledge. ALEKS “knows,” at each moment, with respect to each individual topic, whether each individual student has mastered that topic. If not, ALEKS knows whether the student is ready to learn the topic at that moment. ALEKS uses this knowledge to make learning more efficient and effective by continuously offering the student a selection of only the topics she is ready to learn right now. This builds student confidence and learning momentum.