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Baffes, Paul; Mooney, Raymond – Journal of Artificial Intelligence in Education, 1996
Discussion of student modeling and intelligent tutoring systems focuses on the development of the ASSERT algorithm (Acquiring Stereotypical Student Errors by Refining Theories). Topics include overlay modeling; bug libraries (databases of student misconceptions); dynamic modeling; refinement-based modeling; and experimental results from tests at…
Descriptors: Algorithms, Databases, Error Correction, Higher Education
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Raucher, Steve M. – AEDS Journal, 1974
Using IBM's EPIC:SOCRATES as a vehicle, this paper examines the general work flow of a master schedule generator, the required and optional data necessary to drive such a system, the human methodology of linking data and controlling the system, and the actual algorithmic approach used by the computer. (Author)
Descriptors: Algorithms, Computer Oriented Programs, Databases, Flexible Scheduling
Bobbitt, L. G.; Carroll, C. D. – 1993
The National Center for Education Statistics conducts surveys which require the coding of the respondent's major field of study. This paper presents a new system for the coding of major field of study. It operates on-line i a Computer Assisted Telephone Interview (CATI) environment and allows conversational checks to verify coding directly from…
Descriptors: Algorithms, Coding, Computer Assisted Testing, Computer Software
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Song, Xueshu – International Journal of Instructional Media, 1992
Describes the development and validation of a microcomputer software system that enhances undergraduate students' interests in becoming engineering graduate students. The development of a database with information on engineering graduate programs is discussed, and a model that matches individual and institutional needs using Southwell's Relaxation…
Descriptors: Academic Advising, Algorithms, College Programs, Computer Software Development