This book is a result of the NATO Advanced Research Workshop on New Directions for Intelligent Tutoring Systems, held in Sintra, Portugal, October 6-10, 1990. The main idea behind the workshop was to bring together scientists with different concerns about Intelligent Tutoring Systems (ITS) in order to discuss the positive and negative aspects of the current architecture paradigm (expert module, student module, instructional module, and interface module) and, eventually, propose some modifications or radical changes to it. This was a consequence of the increasing malaise felt currently by researchers in the area of artificial intelligence and education and in particular by those concerned with ITS. One symptom of this state of affairs is the fact that people have started talking about Intelligent Learning Environ ments (lLE) instead of ITS. To understand the reasons for this situation we promoted the discussion of questions like: - To what extent do we need the technology of expert systems in ITS? Which other relevant AI techniques and methodologies are urgently needed? - Is ITS a tool for knowledge communication or is it rather a belief system? - How can the research already done on interactions among agents be utilized? - Is it possible to find a fonnal theory to describe and solve the current problems with ITS? The book contains the revised versions of the papers presented at the workshop. The new texts reflect the discussions that took place at the meeting.

Klappentext

This book contains revised versions of the papers presentedat the NATO Advanced Research Workshop "New Directions forIntelligent Tutoring Systems"held in Sintra, Portugal,October 6-10, 1991.The aim of the workshop was to bring together scientistsworking on Intelligent Tutoring Systems (ITS) in order todiscuss positive and negative aspects of the currentarchitecture paradigm (expert module, student module,instructional module, and and interface module) and topropose changes.The book is divided into five parts: Foundations, StudentModelling, ITS Principles and Practice, Belief Systems, andInteraction Among Agents). Each part is organized around amajor theme which is observed from different points of view.Some papers have a formal or theoretical orientation, somediscuss applications and implementations, and some combineboth aspects.The book will be useful for all researchers involved in theapplication of artificial intelligence to education.

Inhalt
1 Foundations.- New Perspectives on Cognition and Instructional Technology.- A Genetic Structure for the Interaction Space.- COLAPSES: A Modular Architecture and Language for Modelling Meta-Control and Uncertainty.- Computational Mathetics: the Missing Link in Intelligent Tutoring Systems Research?.- What's in an ITS? A Functional Decomposition.- 2 Student Modelling.- Meta-Reasoning and Student Modelling.- Machine Learning, Explanation-Based Learning and Intelligent Tutoring Systems.- The Central Importance of Student Modelling to Intelligent Tutoring.- 3 ITS: Principles and Practices.- Student Models, Scratch-Pads, and Simulation.- A Framework for Instructional Planning and Discourse Modelling in Intelligent Tutoring Systems.- Uses of ITS: Which Role for the Teacher?.- 4 Belief Systems.- A Belief Revision Model of Repair Sequences in Dialogue.- A Structure for Epistemic States.- Building an Intelligent Second Language Tutoring System from Whatever Bits You Happen to Have Lying Around.- 5 Interaction Among Agents.- Negotiating Goals in Intelligent Tutoring Dialogues.- Integration of Knowledge in Multi-Agent Environments.- Facing Hard Problems in Multi-Agent Interactions.- List of Contributors.