We created a list of more than 140 tools that can be used to create tutoring systems, from complete tutoring systems to low-level tools for preparing instructional materials. Based on this list, we present a preliminary ontology of system dimensions that can serve as a base for a comprehensive review or in building systems. We also note that: (a)…

To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not…

Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical…

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…

Building intelligent tutoring systems presents significant challenges -- one challenge arises because tutoring is concerned with unobservable inner workings of the human brain; another results from the formidable task of knowledge representation and reasoning; still a third is due to the competing theories of teaching and learning. Over the past…

Web-based software was used to deliver and record the effects of programmed instruction that progressively added formal prompts until attempts were successful, programmed instruction with one attempt, and prose tutorials. Error-contingent progressive prompting took significantly longer than programmed instruction and prose. Both forms of…

This document contains the full and short papers on intelligent tutoring systems (ITS) from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a framework for Internet-based distributed learning; a fuzzy-based assessment for the Perl tutoring…

In this study, the Bystander Turing Test (BTT) paradigm is used to determine whether participants rate particular dialog moves in tutoring transcripts to be generated by a computer tutor, AutoTutor, or by a skilled human tutor. Currently, AutoTutor initiates a conversation with the learner by posing a question or presenting a problem for the…

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…

A model of expert tutors' knowledge of applied statistics was used to create a web-based computer coach that emulates human tutoring. Cognitive assessments are obtained from records of students' actions as, with the computer tutor's help, they learn to apply components of procedural knowledge required to solve problems. Learning is evaluated by…

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…

Interpreting information regarding health risks, crime statistics, and government polls requires some ability to use and interpret probabilities. Studies have shown that even after training or coursework in probability and statistics, people still have many difficulties solving probability problems. The thesis of this document is that helping…

Whereas existing learning environments on the Web lack high level interactivity, we have developed a human tutor-like tutorial conversation system for the Web that enhances educational courseware through mixed-initiative dialog with natural language processing. The conversational tutoring agent is composed of an animated tutor, a Latent Semantic…

The limited language capability of CAI systems has made it difficult to personalize problem-solving instruction. The intelligent tutoring system, ALBERT, is a problem-solving monitor and coach that has been used with high school and college level physics students for several years; it uses a natural language system to understand kinematics…

Presents an architecture of an intelligent system to support learning that is able to address the issues that arise from constructivist theories of learning in a way that, rather than opposing to the standard intelligent tutoring system architecture, characterizes a broader view in all its components which can be appropriately attuned to address…