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Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing
Sie Hoe, Lau; Ngee Kiong, Lau; Kian Sam, Hong; Bin Usop, Hasbee – Online Submission, 2009
Assessment is central to any educational process. Number Right (NR) scoring method is a conventional scoring method for multiple choice items, where students need to pick one option as the correct answer. One point is awarded for the correct response and zero for any other responses. However, it has been heavily criticized for guessing and failure…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Adaptive Testing, Scoring
Samejima, Fumiko – 1981
In defense of retaining the "latent trait theory" term, instead of replacing it with "item response theory" as some recent research would have it, the following objectives are outlined: (1) investigation of theory and method for estimating the operating characteristics of discrete item responses using a minimum number of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Factor Analysis, Latent Trait Theory
Linacre, John M. – 1987
This paper describes a computer program in Microsoft BASIC which selects and administers test items from a small item bank. The level of the difficulty of the item selected depends on the test taker's previous response. This adaptive system is based on the Rasch model. The Rasch model uses a unit of measurement based on the logarithm of the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Individual Testing