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Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
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Wainer, Howard – Journal of Educational Measurement, 1989
This paper reviews the role of the item in test construction, and suggests some new methods of item analysis. A look at dynamic, graphical item analysis is provided that uses the advantages of modern, high-speed, highly interactive computing. Several illustrations are provided. (Author/TJH)
Descriptors: Computer Assisted Testing, Computer Graphics, Graphs, Item Analysis
van der Linden, Wim J.; Boekkooi-Timminga, Ellen – 1986
In order to estimate the classical coefficient of test reliability, parallel measurements are needed. H. Gulliksen's matched random subtests method, which is a graphical method for splitting a test into parallel test halves, has practical relevance because it maximizes the alpha coefficient as a lower bound of the classical test reliability…
Descriptors: Algorithms, Computer Assisted Testing, Computer Software, Difficulty Level
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Lewis, Charles; Sheehan, Kathleen – Applied Psychological Measurement, 1990
A theoretical framework for mastery testing based on item response theory and Bayesian decision theory is described and illustrated. Implementation depends on the availability of (1) a computerized test delivery system; (2) a pool of pretested items; and (3) a model relating observed test performance to true mastery status. (SLD)
Descriptors: Bayesian Statistics, Computer Assisted Testing, Equations (Mathematics), Graphs
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Palm, Thomas – Social Science Computer Review, 1988
Develops procedures for the automatic generation and incorporation of graphics (both statistical and analytical) into mathematically oriented multiple choice examinations. Uses an integrated spreadsheet to create and associate tabular data, diagrams, questions, and answers. Illustrates the process of constructing multiple choice questions and…
Descriptors: Computer Assisted Testing, Computer Graphics, Data, Diagrams
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Dodd, Barbara G.; And Others – Educational and Psychological Measurement, 1993
Effects of the following variables on performance of computerized adaptive testing (CAT) procedures for the partial credit model (PCM) were studied: (1) stopping rule for terminating CAT; (2) item pool size; and (3) distribution of item difficulties. Implications of findings for CAT systems based on the PCM are discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Difficulty Level
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De Ayala, R. J. – Educational and Psychological Measurement, 1992
Effects of dimensionality on ability estimation of an adaptive test were examined using generated data in Bayesian computerized adaptive testing (CAT) simulations. Generally, increasing interdimensional difficulty association produced a slight decrease in test length and an increase in accuracy of ability estimation as assessed by root mean square…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Simulation
Peer reviewed Peer reviewed
Tait, K.; Hughes, I. E. – Computers and Education, 1984
Describes a computerized system which presents objective test items to students, and upon question completion, provides immediate feedback with correct answers and explanations. Use of the system by pharmacology students and an analysis of end-of-year examination results are presented. (Author/MBR)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Computer Software, Data Analysis