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Akif Avcu – Malaysian Online Journal of Educational Technology, 2025
This scope-review presents the milestones of how Hierarchical Rater Models (HRMs) become operable to used in automated essay scoring (AES) to improve instructional evaluation. Although essay evaluations--a useful instrument for evaluating higher-order cognitive abilities--have always depended on human raters, concerns regarding rater bias,…
Descriptors: Automation, Scoring, Models, Educational Assessment
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Daoxuan Fu; Chunying Qin; Zhaosheng Luo; Yujun Li; Xiaofeng Yu; Ziyu Ye – Journal of Educational and Behavioral Statistics, 2025
One of the central components of cognitive diagnostic assessment is the Q-matrix, which is an essential loading indicator matrix and is typically constructed by subject matter experts. Nonetheless, to a large extent, the construction of Q-matrix remains a subjective process and might lead to misspecifications. Many researchers have recognized the…
Descriptors: Q Methodology, Matrices, Diagnostic Tests, Cognitive Measurement
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Kazuhiro Yamaguchi – Journal of Educational and Behavioral Statistics, 2025
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…
Descriptors: Models, Classification, Bayesian Statistics, Evaluation Methods
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Kuan-Yu Jin; Wai-Lok Siu – Journal of Educational Measurement, 2025
Educational tests often have a cluster of items linked by a common stimulus ("testlet"). In such a design, the dependencies caused between items are called "testlet effects." In particular, the directional testlet effect (DTE) refers to a recursive influence whereby responses to earlier items can positively or negatively affect…
Descriptors: Models, Test Items, Educational Assessment, Scores
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P. Wayan Arta Suyasa; Dewa Gede Hendra Divayana; I Putu Wisna Ariawan; Made Susi Lissia Andayani; I Nyoman Indhi Wiradika; Agus Adiarta – Journal of Education and Learning (EduLearn), 2025
The purpose of this study was to demonstrate the effectiveness level of the Provus-Alkin-amalgamation evaluation application based on Weighted-Product-"Rwa-Bhineda" modification through the results of field trials. This evaluation application was an evaluation tool formed by a combination of educational evaluation models (Provus model…
Descriptors: Evaluation Methods, Educational Assessment, Models, Indigenous Knowledge
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Sara Sands Francis; Fiza Mairaj – Texas Education Review, 2025
Senate Bill (SB) 1882 partnerships, codified into Texas state law in 2017, are the latest iteration of portfolio management models (PMMs) in elementary and secondary education. PMMs aim to overhaul the current governance structure of public education, granting autonomy over critical areas of school operations to school operators, while using the…
Descriptors: State Legislation, Educational Legislation, School Districts, Portfolio Assessment
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Thu D. Pham; Levon E. Blue; Angela Baeza; Peter J. Anderson; Congcong Xing; Melanie Saward – Student Success, 2025
The number of Aboriginal and Torres Strait Islander students enrolled at universities continues to increase; however, completion rates have not. In this study, we sought to understand what contributes to university completion rates by Indigenous Australian students. We employed a mixed-method approach, utilising the higher education success factor…
Descriptors: Foreign Countries, Indigenous Populations, Minority Group Students, College Students
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Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics