This text investigates the foundational principles and computational architectures required to design effective intelligent tutoring systems (ITS). The authors, Elliot Soloway and J. Jeffrey Richardson, synthesize research from cognitive science and computer science to establish a framework for how software can adapt to individual student learning patterns. The book argues that successful tutoring systems must integrate domain knowledge, pedagogical strategies, and student modeling to facilitate meaningful learning outcomes.

Experts recognize this work as a foundational text that established the early parameters for the field of computer-aided instruction. Researchers frequently cite the book for its clear articulation of the technical challenges inherent in creating adaptive educational software.