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Direct linkCostagliola, Gennaro; Fuccella, Vittorio – International Journal of Distance Education Technologies, 2009
To correctly evaluate learners' knowledge, it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between skilled and untrained students and in obtaining tutor's desired difficulty level. This article presents a rule-based e-testing system…
Descriptors: Difficulty Level, Test Items, Computer Assisted Testing, Item Response Theory
Martindale, Elizabeth S.; And Others – 1986
The study evaluated the accuracy of Class.LD2, a computerized expert system for classifying learning disabled (LD) students. Of 264 student files, 78 files were chosen based on disagreement between multidisciplinary team and Class.LD2 decisions regarding eligibility for LD placement. These 78 cases were evaluated by three individuals expert in LD…
Descriptors: Classification, Computer Managed Instruction, Computer Uses in Education, Decision Making
Download full textVos, Hans J. – 1994
As part of a project formulating optimal rules for decision making in computer assisted instructional systems in which the computer is used as a decision support tool, an approach that simultaneously optimizes classification of students into two treatments, each followed by a mastery decision, is presented using the framework of Bayesian decision…
Descriptors: Achievement Tests, Bayesian Statistics, Classification, Computer Managed Instruction
Hofmeister, Alan M.; Ferrara, Joseph M. – 1986
The research project investigated whether expert system tools have become sophisticated enough to be applied efficiently to problems in special education. (Expert systems are a development of artificial intelligence that combines the computer's capacity for storing specialized knowledge with a general set of rules intended to replicate the…
Descriptors: Articulation Impairments, Artificial Intelligence, Behavior Disorders, Behavior Problems
