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Showing 1 to 15 of 27 results Save | Export
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Huang, Shu-Chen – Assessment & Evaluation in Higher Education, 2018
This study proposes a model to view and analyse college students' written peer feedback after they assess each other's formative task assignment and provide comments. The model was developed by: (a) revisiting learning-oriented assessment and feedback theories, (b) reviewing and summarising existing peer feedback analysis approaches as detailed in…
Descriptors: Feedback (Response), Models, Formative Evaluation, Peer Evaluation
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Tsao, Jui-Jung; Tseng, Wen-Ta; Hsiao, Tsung-Yuan; Wang, Chaochang; Gao, Andy Xuesong – SAGE Open, 2021
Research has shown that the effectiveness of written corrective feedback (WCF) on writing performance depends on learners' engagement with WCF and its associated motivational state. However, little research has examined the inner causal relationships between motivation, learner engagement with WCF, and writing performance. The current study fills…
Descriptors: Student Motivation, Learner Engagement, Models, English (Second Language)
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Huang, Hung-Yu – Educational and Psychological Measurement, 2017
Mixture item response theory (IRT) models have been suggested as an efficient method of detecting the different response patterns derived from latent classes when developing a test. In testing situations, multiple latent traits measured by a battery of tests can exhibit a higher-order structure, and mixtures of latent classes may occur on…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Chen, Chung-Yang; Chang, Huiju; Hsu, Wen-Chin; Sheen, Gwo-Ji – Assessment & Evaluation in Higher Education, 2017
This paper proposes a training model for raters, with the goal to improve the intra- and inter-consistency of evaluation quality for higher education curricula. The model, termed the learning, behaviour and reaction (LBR) circular training model, is an interdisciplinary application from the business and organisational training domain. The…
Descriptors: Training, Models, Evaluation Methods, Quality Control
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Kuo, Bor-Chen; Chen, Chun-Hua; Yang, Chih-Wei; Mok, Magdalena Mo Ching – Educational Psychology, 2016
Traditionally, teachers evaluate students' abilities via their total test scores. Recently, cognitive diagnostic models (CDMs) have begun to provide information about the presence or absence of students' skills or misconceptions. Nevertheless, CDMs are typically applied to tests with multiple-choice (MC) items, which provide less diagnostic…
Descriptors: Multiple Choice Tests, Responses, Test Items, Models
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Xu, Anxin; Chen, Guisong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The approach of information digitalization era has largely changed the teaching environment on campus. The application of information technology to education has become a concern in modern education.Traditional basic literacy of reading, writing, and algorithm could no longer cope with the demands in information societies that the information…
Descriptors: Foreign Countries, Questionnaires, Response Rates (Questionnaires), Information Literacy
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Hsieh, Mingchuan – Language Testing, 2013
When implementing standard setting procedures, there are two major concerns: variance between panelists and efficiency in conducting multiple rounds of judgments. With regard to the former, there is concern over the consistency of the cutoff scores made by different panelists. If the cut scores show an inordinately wide range then further rounds…
Descriptors: Item Response Theory, Standard Setting (Scoring), Language Tests, English (Second Language)
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Hung, Lai-Fa; Wang, Wen-Chung – Journal of Educational and Behavioral Statistics, 2012
In the human sciences, ability tests or psychological inventories are often repeatedly conducted to measure growth. Standard item response models do not take into account possible autocorrelation in longitudinal data. In this study, the authors propose an item response model to account for autocorrelation. The proposed three-level model consists…
Descriptors: Item Response Theory, Correlation, Models, Longitudinal Studies
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Yen, Yung-Chin; Ho, Rong-Guey; Liao, Wen-Wei; Chen, Li-Ju – Educational Technology & Society, 2012
In a test, the testing score would be closer to examinee's actual ability when careless mistakes were corrected. In CAT, however, changing the answer of one item in CAT might cause the following items no longer appropriate for estimating the examinee's ability. These inappropriate items in a reviewable CAT might in turn introduce bias in ability…
Descriptors: Foreign Countries, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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Sung, Pei-Ju; Lin, Su-Wei; Hung, Pi-Hsia – Universal Journal of Educational Research, 2015
Task difficulty is a critical issue affecting test developers. Controlling or balancing the item difficulty of an assessment improves its validity and discrimination. Test developers construct tests from the cognitive perspective, by making the test constructing process more scientific and efficient; thus, the scores obtained more precisely…
Descriptors: Foreign Countries, Listening, Listening Comprehension, Listening Comprehension Tests
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Marsh, Herbert W.; Abduljabbar, Adel Salah; Parker, Philip D.; Morin, Alexandre J. S.; Abdelfattah, Faisal; Nagengast, Benjamin; Möller, Jens; Abu-Hilal, Maher M. – American Educational Research Journal, 2015
The internal/external frame of reference (I/E) model and dimensional comparison theory posit paradoxical relations between achievement (ACH) and self-concept (SC) in mathematics (M) and verbal (V) domains; ACH in each domain positively affects SC in the matching domain (e.g., MACH to MSC) but negatively in the nonmatching domain (e.g., MACH to…
Descriptors: Self Concept, Cultural Differences, Academic Achievement, Comparative Analysis
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2013
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Liao, Wei-Hsin; Wang, Shun-Chung; Liu, Yi-Hua – IEEE Transactions on Education, 2012
Switched-mode power supplies (SMPS) are becoming an essential part of many electronic systems as the industry drives toward miniaturization and energy efficiency. However, practical SMPS design courses are seldom offered. In this paper, a generalized MATLAB/SIMULINK modeling technique is first presented. A proposed practical SMPS design course at…
Descriptors: Undergraduate Students, Student Attitudes, Energy Conservation, Electronics
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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
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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
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