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A Fuzzy Logic-Based Personalized Learning System for Supporting Adaptive English Learning
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Hsieh, Tung-Cheng; Wang, Tzone-I; Su, Chien-Yuan; Lee, Ming-Che – Educational Technology & Society, 2012
As a nearly global language, English as a Foreign Language (EFL) programs are essential for people wishing to learn English. Researchers have noted that extensive reading is an effective way to improve a person's command of English. Choosing suitable articles in accordance with a learner's needs, interests and ability using an e-learning system…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Reading Materials
Validation of the Perceived School Bullying Severity Scale
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Chen, Li Ming; Liu, Kun Shia; Cheng, Ying Yao – Educational Psychology, 2012
Research on school bullying has tended to focus on its prevalence or frequency while ignoring its perceived severity. This study attempted to construct a perceived School Bullying Severity Scale (SBSS). The original 24-item instrument, revised from the Victim Scale of the School Bullying Scales, covered the four categories of physical, verbal,…
Descriptors: Bullying, Validity, Measures (Individuals), Severity (of Disability)
Higher-Order Item Response Models for Hierarchical Latent Traits
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Huang, Hung-Yu; Wang, Wen-Chung; Chen, Po-Hsi; Su, Chi-Ming – Applied Psychological Measurement, 2013
Many latent traits in the human sciences have a hierarchical structure. This study aimed to develop a new class of higher order item response theory models for hierarchical latent traits that are flexible in accommodating both dichotomous and polytomous items, to estimate both item and person parameters jointly, to allow users to specify…
Descriptors: Item Response Theory, Models, Vertical Organization, Bayesian Statistics
Multilevel Higher-Order Item Response Theory Models
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
Development and Evaluation of a Confidence-Weighting Computerized Adaptive Testing
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Yen, Yung-Chin; Ho, Rong-Guey; Chen, Li-Ju; Chou, Kun-Yi; Chen, Yan-Lin – Educational Technology & Society, 2010
The purpose of this study was to examine whether the efficiency, precision, and validity of computerized adaptive testing (CAT) could be improved by assessing confidence differences in knowledge that examinees possessed. We proposed a novel polytomous CAT model called the confidence-weighting computerized adaptive testing (CWCAT), which combined a…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Item Response Theory
A HO-IRT Based Diagnostic Assessment System with Constructed Response Items
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Yang, Chih-Wei; Kuo, Bor-Chen; Liao, Chen-Huei – Turkish Online Journal of Educational Technology - TOJET, 2011
The aim of the present study was to develop an on-line assessment system with constructed response items in the context of elementary mathematics curriculum. The system recorded the problem solving process of constructed response items and transfered the process to response codes for further analyses. An inference mechanism based on artificial…
Descriptors: Foreign Countries, Mathematics Curriculum, Test Items, Problem Solving