ALEKS (Assessment and LEarning in Knowledge Spaces) is an artificial intelligence-based system for individualized learning, available from McGraw-Hill over the World Wide Web. ALEKS delivers precise, qualitative diagnostic assessments of students' knowledge, guides them in the selection of appropriate new study material, and records their progress toward mastery of curricular goals in a robust classroom management system. ALEKS interacts with the student much as a skilled human tutor would, moving between explanation and practice as needed, correcting and analyzing errors, defining terms and changing topics on request. By sophisticated modeling of a student’s "knowledge state" for a given subject matter, ALEKS can focus clearly on what the student is most ready to learn next. When a student focuses on exactly what they are ready to learn, they build learning momentum and success. ALEKS is both comprehensive and flexible. Although it can serve as a resource replacement for a traditional textbook and can be used as a full course solution in business statistics, ALEKS can be used effectively in tandem with any business statistics textbook as well. As a tool for individual assessment and self-study, ALEKS is designed to be used in parallel with the material covered in standard business statistics course―not in addition to it. By assessing each student and developing an individualized plan of self-study for each, ALEKS frees the instructor to focus on those areas of study that are central to business statistics, leaving it to ALEKS to attend to the computational study needs of individual students.