Expertise of ICAI: Development requirements

Abstract The purpose of this paper is to (a) examine the functional characteristics of intelligent computer-assisted instruction (ICAI), (b) propose a structural model that defines expertise requirements for the development of an ICAI system and suggests procedures for integrating the required expertise into a system, and (c) discuss the requirements of a multidisciplinary cooperative effort for its development. After examining four functional components of ICAI systems (expertise module, student-model module, tutorial module, and interface module) and their interrelationships in a typical ICAI model, six intelligent characteristics of ICAI systems are discussed. They are: (a) the generation of instructional presentations, (b) a mixed initiative between the system and student, (c) the ability to model the student's learning process, (d) a qualitative decision making function in instructional process, (e) an inferencing function in instructional diagnostic and prescriptive process, and (f) a self-improving function. In the proposed expertise requirement model, we discuss three different kinds of expertise (domain expertise, domain engineering expertise, and instructional expertise) and technical issues required to integrate the different kinds of expertise into a system. Finally, a multidisciplinary cooperative effort for the development of an ICAI system is recommended in a schematic form.

[1]  Gerald Knezek.  A Taxonomy for Educational Computing. , 1988 .

[2]  William J. Clancey,et al.  Tutoring rules for guiding a case method dialogue , 1979 .

[3]  Michael K. Gardner,et al.  Cognitive Psychological Approaches to Instructional Task Analysis , 1985 .

[4]  Robert D. Tennyson,et al.  Adaptive design strategies for selecting number and presentation order of examples in coordinate concept acquisition. , 1980 .

[5]  Kurt VanLehn,et al.  Learning one Subprocedure per Lesson , 1987, Artif. Intell..

[6]  Jaime R. Carbonell,et al.  AI in CAI : An artificial intelligence approach to computer-assisted instruction , 1970 .

[7]  Patrick Suppes,et al.  Current Trends in Computer-Assisted Instruction , 1979, Adv. Comput..

[8]  Jaime G. Carbonell,et al.  Approaches to machine learning , 1984, J. Am. Soc. Inf. Sci..

[9]  J. D. Fletcher,et al.  Models of individual trajectories in computer-assisted instruction for deaf students. , 1973, Journal of educational psychology.

[10]  Robert M. Gagné,et al.  The Conditions of Learning and Theory of Instruction , 1985 .

[11]  B. Hayes-Roth,et al.  Paradigms for Intelligent Systems , 1985 .

[12]  Tim O'Shea,et al.  A self-improving quadratic tutor , 1979 .

[13]  Dean L. Christensen,et al.  Adaptive Control of Learning Time and Content Sequence in Concept Learning Using Computer-Based Instruction. , 1985 .

[14]  Robert D. Tennyson,et al.  Computer-based adaptive instructional systems: A review of empirically-based models , 1984 .

[15]  Charles M. Reigeluth,et al.  Instructional Design Theories and Models : An Overview of Their Current Status , 1983 .

[16]  R. Glaser.  Advances in Instructional Psychology , 1978 .

[17]  K. A. Ericsson,et al.  Verbal reports as data. , 1980 .

[18]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[19]  James O. Carey,et al.  The systematic design of instruction , 1978 .

[20]  Robert D. Tennyson,et al.  Application of Bayes’ Theory in Designing Computer-Based Adaptive Instructional Strategies , 1978 .

[21]  Robert D. Tennyson,et al.  Computer-Based Response-Sensitive Design Strategies for Selecting Presentation Form and Sequence of Examples in Learning of Coordinate Concepts , 1986 .

[22]  Ok-choon Park,et al.  Intelligent CAI: Old wine in new bottles, or a new vintage? , 1987 .

[23]  Albert T. Corbett,et al.  Intelligent Tutoring Systems , 1985, Science.

[24]  Ryszard S. Michalski,et al.  A Theory and Methodology of Inductive Learning , 1983, Artificial Intelligence.

[25]  N. Shahla Yaghmai,et al.  Expert systems: A tutorial , 1984, J. Am. Soc. Inf. Sci..

[26]  Ann Coder.  Why Do Community College Faculty Resist Media as an Instructional Delivery System , 1983 .

[27]  John Seely Brown,et al.  Diagnostic Models for Procedural Bugs in Basic Mathematical Skills , 1978, Cogn. Sci..

[28]  Avron Barr,et al.  The Handbook of Artificial Intelligence , 1982 .

[29]  Leslie J. Briggs,et al.  Principles of Instructional Design , 1974 .

[30]  A. W. Melton.  Categories of Human Learning , 1964 .

[31]  James D. Hollan,et al.  STEAMER: An Interactive Inspectable Simulation-Based Training System , 1984, AI Mag..

[32]  William J. Clancey,et al.  Qualitative student models , 1986 .

[33]  Robert D. Tennyson,et al.  Computer-Based Instructional Systems for Adaptive Education: A Review. , 1983 .

[34]  Allen Newell,et al.  GPS, a program that simulates human thought , 1995 .

[35]  Robert R. Hoffman,et al.  The Problem of Extracting the Knowledge of Experts from the Perspective of Experimental Psychology , 1987, AI Mag..

[36]  K. A. Ericsson,et al.  Protocol Analysis: Verbal Reports as Data , 1984 .

[37]  Elliot Soloway,et al.  PROUST: An automatic debugger for Pascal programs , 1985 .

[38]  Barbara Y. White,et al.  Intelligent Tutoring Systems Based Upon Qualitative Model Evolutions , 1986, AAAI.

[39]  John Seely Brown,et al.  An Investigation of Computer Coaching for Informal Learning Activities. , 1978 .

[40]  Marjorie A. Cambre,et al.  Measurement and Remediation of Computer Anxiety. , 1987 .

[41]  R. Duda,et al.  Expert Systems Research. , 1983, Science.

[42]  Allan Collins,et al.  Misconceptions in student's understanding , 1979 .

[43]  Ok-choon Park,et al.  Intelligent computer-assisted instruction: an explanation and overview , 1990 .

[44]  Elliot B. Koffman,et al.  Artificial Intelligence and Automatic Programming in CAI , 1973, IJCAI.

[45]  B F SKINNER,et al.  Teaching machines; from the experimental study of learning come devices which arrange optimal conditions for self instruction. , 1958, Science.

[46]  Douglas B. Lenat,et al.  Knowledge-based systems in artificial intelligence , 1981 .

[47]  John A. Self.  The application of machine learning to student modelling , 1986 .