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He, Lianzhen; Min, Shangchao – Language Assessment Quarterly, 2017
The first aim of this study was to develop a computer adaptive EFL test (CALT) that assesses test takers' listening and reading proficiency in English with dichotomous items and polytomous testlets. We reported in detail on the development of the CALT, including item banking, determination of suitable item response theory (IRT) models for item…
Descriptors: Computer Assisted Testing, Adaptive Testing, English (Second Language), Second Language Learning
Rios, Joseph A.; Sireci, Stephen G. – International Journal of Testing, 2014
The International Test Commission's "Guidelines for Translating and Adapting Tests" (2010) provide important guidance on developing and evaluating tests for use across languages. These guidelines are widely applauded, but the degree to which they are followed in practice is unknown. The objective of this study was to perform a…
Descriptors: Guidelines, Translation, Adaptive Testing, Second Languages
Bulut, Okan; Kan, Adnan – Eurasian Journal of Educational Research, 2012
Problem Statement: Computerized adaptive testing (CAT) is a sophisticated and efficient way of delivering examinations. In CAT, items for each examinee are selected from an item bank based on the examinee's responses to the items. In this way, the difficulty level of the test is adjusted based on the examinee's ability level. Instead of…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Entrance Examinations, Graduate Students
Hambleton, Ronald K.; And Others – 1975
The success of objectives-based programs depends to a considerable extent on how effectively students and teachers assess mastery of objectives and make decisions for future instruction. While educators disagree on the usefulness of criterion-referenced tests the position taken in this monograph is that criterion-referenced tests are useful, and…
Descriptors: Adaptive Testing, Course Objectives, Criterion Referenced Tests, Individualized Instruction
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level
Woodrow, Lindy J. – 2001
This paper introduces a model of adaptive learning relevant to adult learners of English for academic purposes (EAP) in Australia. Adaptive learning refers to latent variables hypothesized to contribute to optimal performance in the language. The model comprises motivation, self-efficacy, language learning anxiety, language learning strategies,…
Descriptors: Adaptive Testing, Adult Education, Cognitive Style, Communication Apprehension