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| Frick, Theodore W. | 4 |
| Sebrechts, Marc M. | 3 |
| Bennett, Randy Elliot | 2 |
| Arger, Geoff | 1 |
| Becker, Lee A. | 1 |
| Ben-David, Arie | 1 |
| Ben-Shalom, Uri | 1 |
| Braun, Henry I. | 1 |
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Becker, Lee A. – Programmed Learning and Educational Technology, 1988
Explores how a set of possible student misconceptions about solving a complex problem can be used in computer-based intelligent tutoring systems and in computer-based exercise and test generation. Topics discussed include expert systems, misconception covers, discrimination trees, methods of acquiring the set of misconceptions, and protocol…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Concept Formation, Expert Systems
Peer reviewedWelch, R. Edwin; Frick, Theodore W. – Educational Technology, Research and Development, 1993
Discusses the use of computerized adaptive testing (CAT) in the classroom. Highlights include item response theory; sequential probability ratio test (SPRT); combining SPRT with expert system reasoning, resulting in EXSPRT; and a study of college students that examined the efficiency and accuracy of the various CAT methods discussed. (Contains 16…
Descriptors: Adaptive Testing, Computer Assisted Testing, Expert Systems, Higher Education
Peer reviewedBennett, Randy Elliot; Sebrechts, Marc M. – Applied Measurement in Education, 1996
Four human judges agreed highly among themselves about the presence of errors committed by 60 adults solving algebra word problems, but were in less agreement about categorizing faults. An expert system agreed with judges about correctness of answers, but was in even less agreement about categorizing the faults. (SLD)
Descriptors: Adults, Algebra, Classification, Computer Assisted Testing
Frick, Theodore W.; And Others – 1989
Expert systems can be used to aid decision making. A computerized adaptive test (CAT) is one kind of expert system, although it is not commonly recognized as such. A new approach, termed EXSPRT, was devised that combines expert systems reasoning and sequential probability ratio test stopping rules. EXSPRT-R uses random selection of test items,…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Expert Systems
Peer reviewedFrick, Theodore W. – Journal of Educational Computing Research, 1992
Discussion of expert systems and computerized adaptive tests describes two versions of EXSPRT, a new approach that combines uncertain inference in expert systems with sequential probability ratio test (SPRT) stopping rules. Results of two studies comparing EXSPRT to adaptive mastery testing based on item response theory and SPRT approaches are…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Expert Systems
Perkins, Kyle; And Others – 1994
This paper reports the results of using a three-layer backpropagation artificial neural network to predict item difficulty in a reading comprehension test. Two network structures were developed, one with and one without a sigmoid function in the output processing unit. The data set, which consisted of a table of coded test items and corresponding…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Expert Systems, Item Analysis
Frick, Theodore W. – 1991
Expert systems can be used to aid decisionmaking. A computerized adaptive test is one kind of expert system, although not commonly recognized as such. A new approach, termed EXSPRT, was devised that combines expert systems reasoning and sequential probability ratio test stopping rules. Two versions of EXSPRT were developed, one with random…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Expert Systems
Sebrechts, Marc M.; And Others – 1991
This study evaluated agreement between expert system and human scores on 12 algebra word problems taken by Graduate Record Examinations (GRE) General Test examinees from a general sample of 285 and a study sample of 30. Problems were drawn from three content classes (rate x time, work, and interest) and presented in four constructed-response…
Descriptors: Algebra, Automation, College Students, Computer Assisted Testing
Peer reviewedClayton, Debbie; Arger, Geoff – Distance Education, 1989
Presents results of a survey that was conducted to examine the use of computers in the instructional process of Australian distance education. Highlights include computer-managed learning; computer-marked tests; computer-aided learning; expert systems; and relationships between the type of computer usage, the instructors' expectations, and…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Computer Managed Instruction, Courseware
Peer reviewedBen-David, Arie; Ben-Shalom, Uri – Journal of Research on Computing in Education, 1994
Describes an expert system designed to simplify evaluation of teacher-authored high school matriculation examination forms for official recognition. Because conventional knowledge-engineering methods were inadequate, a learning-by-example model called the Ordinal Learning Model was utilized. Responses from the system's users during a two-year beta…
Descriptors: Classification, Computer Assisted Testing, Decision Making, Evaluation Methods
Bennett, Randy Elliot; Sebrechts, Marc M. – 1994
This study evaluated expert system diagnoses of examinees' solutions to complex constructed-response algebra word problems. Problems were presented to three samples (30 college students each), each of which had taken the Graduate Record Examinations General Test. One sample took the problems in paper-and-pencil form and the other two on computer.…
Descriptors: Algebra, Automation, Classification, College Entrance Examinations
Peer reviewedBraun, Henry I.; And Others – Journal of Educational Measurement, 1990
The accuracy with which expert systems (ESs) score a new nonmultiple-choice free-response test item was investigated, using 734 high school students who were administered an advanced-placement computer science examination. ESs produced scores for 82 percent to 95 percent of the responses and displayed high agreement with a human reader on the…
Descriptors: Advanced Placement, Computer Assisted Testing, Computer Science, Constructed Response
Peer reviewedFuchs, Lynn S.; And Others – School Psychology Review, 1991
Effects of teacher planning and student spelling achievement of computerized expert system advice (ESA) within curriculum-based measurement (CBM) were studied for 30 special-education teachers and 60 of their elementary school students. CBM teachers without ESA provided more direct instruction on skills; those receiving ESA used more drill and…
Descriptors: Academic Achievement, Computer Assisted Testing, Educational Planning, Elementary Education
Luk, HingKwan – 1991
This study examined whether an expert system approach involving intelligent selection of items (EXSPRT-I) is as efficient as item response theory (IRT) based three-parameter adaptive mastery testing (AMT) when there are enough subjects to estimate the three IRT item parameters for all items in the test and when subjects in the item parameter…
Descriptors: Achievement Tests, Adaptive Testing, College Entrance Examinations, Comparative Analysis
Peer reviewedMcDonald, Jacqueline; And Others – Journal of Computers in Mathematics and Science Teaching, 1988
Describes a field test of the "Diagnostic Test of Computational Skills." Examines whether or not a computer can efficiently analyze student answers, previously unidentified computational error patterns and errors related to student use of microcomputers. Concludes that this method can be useful for immediate and accurate diagnostic information.…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Computer Uses in Education, Diagnostic Tests


