Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…

Framed by theoretical and empirical research on cognitive and intelligent tutoring systems (ITSs), this commentary explores two areas. The first focuses on lack of conceptual clarity of the proposed constructivist stance and its related constructs. The second deals with similarities between the proposed stance and existing approaches documented in…

The complementary, but distinct, approaches of computer assisted instruction (CAI) and intelligent tutoring systems (ITS) are first summarized, then followed by a collection of papers discussing shared issues toward which these complementary approaches are directed. The purpose of this book is to foster a mutual understanding of shared issues and…

Reports on the development of a composite learner model for adaptive tutoring systems that combines a model of learner attributes with a simple overlay model of the learner's domain knowledge state. The system is able to select the optimal form of learning material to be presented for the subject. (MJP)

Describes a computer tutorial that teaches the fundamentals of stimulus generalization in operant learning. Concepts covered include reinforcement, discrimination learning, stimulus continua, generalization, generalization gradients, and peak shift. The tutorial also reviews applications in human and animal situations. The content is appropriate…