One-on-One Tutoring by Humans and Computers

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One-on-One Tutoring by Humans and Computers articulates the CIRCSIM-Tutor project, an attempt to develop a computer tutor that generates a natural language dialogue with a student. Editors Martha Evens and Joel Michael present the educational context within which the project was launched, as well as research into tutoring, the process of implementation of CIRCSIM-Tutor, and the results of using CIRCSIM-Tutor in the classroom. The domain of this project is cardiovascular physiology, specifically targeting first-year medical students, though the idea is applicable to the development of intelligent tutoring systems across populations, disciplines, and domains. This 5 year-long project was motivated by the belief that students need assistance in building appropriate mental models of complex physiological phenomena, as well as practice in expressing these ideas in their own words to fully develop those models, and experience in problem-solving to use those models effectively. The book outlines directions for future research, and includes distinct features such as:*detailed studies of human one-on-one tutoring;*learning outcomes resulting from use of the tutor;*natural language input parsed and translated into logical form; and*natural language output generated using the LFG paradigm. This volume will appeal to educators who want to improve human tutoring or use computer tutors in the classroom, and it will interest computer scientists who want to build those computer tutors, as well as anyone who believes that language is central to teaching and learning.

Author(s): Martha Evens, Joel Michael
Edition: Har/Com
Year: 2005

Language: English
Pages: 496

Book Cover......Page 1
Title......Page 4
Copyright......Page 5
Contents......Page 8
Preface......Page 16
PART I: Introduction......Page 22
1 Origins of the CIRCSIM-Tutor Project......Page 24
2 What’s Being Tutored: The Domain and the Problem......Page 39
PART II: Studies of Expert Human Tutors......Page 50
3 The Collection and Analysis of Tutoring Transcripts......Page 52
4 The Language Used by Tutors and Students......Page 69
5 Domain Knowledge for Problem Solving and for Tutoring......Page 87
6 Planning for Tutoring: What Is the Task to Be Accomplished?......Page 101
7 Carrying Out the Tutoring Task......Page 112
8 Hinting As a Technique to Keep Students Active......Page 158
9 A Tutoring Episode Analyzed......Page 174
10 How Effective Are Human Tutors?......Page 185
PART III: Building CIRCSIM-Tutor: An Intelligent Tutoring System With Natural Language Capabilities......Page 212
11 The Architecture of an Intelligent Tutoring System......Page 214
12 Plans and Planning in the CIRCSIM-Tutor Project......Page 229
13 Understanding the Student Input......Page 249
14 Student Modeling......Page 273
15 The Domain Knowledge Base and the Problem Solver......Page 287
16 Generating Tutorial Dialogue......Page 306
17 The Screen Manager......Page 332
PART IV: What Have We Learned?......Page 346
18 CIRCSIM-Tutor in the Classroom......Page 348
19 Machine Tutors and Natural Language......Page 392
20 Where Do We All Go From Here?......Page 412
21 What We Have Learned......Page 430
References......Page 440
Author Index......Page 480
Subject Index......Page 488