Requiem for a Development System: Reflections on Knowledge-Based, Generative Instruction

Over 10 years ago, the U. S. Air Force undertook a project to make it easier and less costly to develop interactive courseware. The 10-year span of this effort saw the development and field testing of a prototype, known as XAIDA, that makes it easy for subject-matter experts to develop interactive courseware. XAIDA uses a generative, knowledge-based approach. A developer uses a computer program known as Develop to make a Knowledge Base representing the target subject matter. Another program, Deliver, manages a student’s interactions with the knowledge base thereby generating instruction suited to the student’s individual needs. XAIDA was oriented towards maintenance training and provided, in particular, training in identifying a device’s physical characteristics, and making inferences about its behavior. In a wide-ranging series of field tests, XAIDA proved to be easily accessible to developers and effective in training students. XAIDA represents the use of computers to generate instructional interactions directly from information structures that make up knowledge. It therefore requires developers to think about knowledge rather than instructional procedures, and it requires designers to think in terms of generally applicable instructional methods rather than individual instructional designs. XAIDA offered sufficient support for the conceptual support of developers, but more work is needed on the mechanisms needed to support conceptual change in the design process.

[1]  P. Y. Hsieh,et al.  Intelligent tutoring system authoring tool for manufacturing engineering education , 2001 .

[2]  Tom Murray,et al.  Authoring Intelligent Tutoring Systems: An analysis of the state of the art , 1999 .

[3]  D. Bailey,et al.  Qualities of the Stages of Concern Questionnaire and Implications for Educational Innovations , 1992 .

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

[5]  Allan Collins,et al.  How to make a language user. , 1972 .

[6]  E. Boring A history of experimental psychology, 2nd ed. , 1950 .

[7]  Henry M. Halff,et al.  Four Easy Pieces: Development Systems for Knowledge-Based Generative Instruction , 1999 .

[8]  Daniel J. Muraida,et al.  The Guided Approach to Instructional Design Advising (GAIDA): A Case-based Approach to Developing Instructional Design Expertise , 1999 .

[9]  G. Mandler Organization and Memory , 1967 .

[10]  Carlton Gamer Colorado Springs, Colorado , 1973 .

[11]  Allan Collins,et al.  A spreading-activation theory of semantic processing , 1975 .

[12]  James D. Hollan,et al.  Cognitive science and military training. , 1986 .

[13]  Henry M. Halff,et al.  Evaluating Subject Matter Experts' Learning and Use of an ITS Authoring Tool , 1998, Intelligent Tutoring Systems.

[14]  Roger W. Schvaneveldt,et al.  Pathfinder associative networks: studies in knowledge organization , 1990 .

[15]  David E. Kieras,et al.  Functional Requirements of an Advanced Instructional Design Advisor: Task Analysis and Troubleshooting Volume 2 , 1992 .

[16]  E. Boring A History of Experimental Psychology. , 1930 .

[17]  Jaime R Carbonell,et al.  Mixed-initiative man-computer instructional dialogues , 1970 .

[18]  M. David Merrill,et al.  The IDXelerator™: Learning-centered Instructional Design , 1999 .

[19]  G. Hall The Concerns-Based Approach to Facilitating Change. , 1979 .

[20]  M. David Merrill,et al.  Instructional Transaction Theory: Instructional Design Based on Knowledge Objects. , 1996 .

[21]  Sheng-Jen Hsieh,et al.  Web-based programmable logic controller learning system , 2002, 32nd Annual Frontiers in Education.

[22]  J. Michael Spector,et al.  Automating instructional design : concepts and issues , 1993 .

[23]  Gilbert Paquette,et al.  AGD: A Course Engineering Support System , 1996, Intelligent Tutoring Systems.

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