Intelligent Computer Assisted Instruction Systems: The Nature of Learner Control

Learner control, which is contrary in spirit to the design philosophy underlying traditional CAI systems, is an important feature of most intelligent computer assisted instruction (ICAI) systems, as revealed through the learning dialogues they support. Such learner control is made possible by the natural language interface and the type of knowledge base incorporated in these systems. Such systems, it is argued, because they enable unplanned interactions with the learner and capitalize on student curiosity and motivation, can attain a much finer grain of individualization than traditional CAI systems can. The conceptual and affective requirements of instructional adaptation indicate the desirability of substantial learner control as well as the potential danger of overly strong tutorial guidance.

[1]  Esther R. Steinberg,et al.  Review of Student Control in Computer-Assisted Instruction , 1977 .

[2]  Ira P. Goldstein,et al.  Artificial Intelligence, Language, and the Study of Knowledge , 1977, Cogn. Sci..

[3]  Robert F. Mager,et al.  Explorations in Student-Controlled Instruction , 1963 .

[4]  M. Wittrock Learning as a Generative Process , 1974 .

[5]  Beverly Park Woolf,et al.  Building a Computer Tutor: Design Issues , 1984, Computer.

[6]  R R Burton,et al.  Toward a natural-language capability for computer-assisted instruction , 1986 .

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

[8]  R. Clark Antagonism Between Achievement and Enjoyment in ATI Studies , 1982 .

[9]  Ira P. Goldstein,et al.  The genetic graph: a representation for the evolution of procedural knowledge , 1979 .

[10]  Mary Alice White,et al.  Student evaluation of motivational and learning attributes of microcomputer soft , 1985 .

[11]  Allan Collins,et al.  The goal structure of a socratic tutor , 1977, ACM Annual Conference.

[12]  Barbara L. McCombs,et al.  Learner Satisfaction, Motivation, and Performance: Capitalizing on Strategies for Positive Self-Control. , 1982 .

[13]  Philippe C. Duchastel,et al.  Instructional Goals: determination and specification , 1983 .

[14]  Hector J. Levesque,et al.  An overview of Knowledge Representation , 1983, On Conceptual Modelling.

[15]  M. David Merrill Learner control in computer based learning , 1980 .

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

[17]  John Seely Brown,et al.  Process versus Product: A Perspective on Tools for Communal and Informal Electronic Learning , 1985 .

[18]  Allen Munro,et al.  Instruction intrusiveness in dynamic simulation training , 1985 .

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

[20]  Allan Collins,et al.  Analysis and Synthesis of Tutorial Dialogues , 1975 .

[21]  David H. Jonassen,et al.  Interactive Lesson Designs: A Taxonomy , 1985 .

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

[23]  John Seely Brown,et al.  SOPHIE: A Step Toward Creating a Reactive Learning Environment , 1975, Int. J. Man Mach. Stud..

[24]  J. S. Brown,et al.  Pedagogical, natural language, and knowledge engineering techniques in SOPHIE-I, II and III , 1982 .

[25]  Tim O'Shea,et al.  Learning and teaching with computers : artificial intelligence in education , 1983 .

[26]  Greg Kearsley Microcomputer Software: Design and Development Principles , 1985 .

[27]  Thomas W. Malone,et al.  Toward a Theory of Intrinsically Motivating Instruction , 1981, Cogn. Sci..