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Lucy Chambers; Sylvia Vitello; Carmen Vidal Rodeiro – Assessment in Education: Principles, Policy & Practice, 2024
In England, some secondary-level qualifications comprise non-exam assessments which need to undergo moderation before grading. Currently, moderation is conducted at centre (school) level. This raises challenges for maintaining the standard across centres. Recent technological advances enable novel moderation methods that are no longer bound by…
Descriptors: Foreign Countries, Evaluation Methods, Comparative Analysis, Grading
Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
Wang, Dang; Liu, Hongyun; Hau, Kit-Tai – Education and Information Technologies, 2022
Critical thinking is one of the important higher-order skills very much treasured in education, but hard to be measured using paper-pencil tests. In line with recent recommendation to measure high-order thinking skills with interactive tasks (vs. static one set of questions), in this study we developed an interactive and automated game-based…
Descriptors: Game Based Learning, Evaluation Methods, Critical Thinking, Simulation
Kaplan, David; Chen, Jianshen; Lyu, Weicong; Yavuz, Sinan – Large-scale Assessments in Education, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Peter R. Whipp; Chad Morrison; Susan Ledger; Antoinette Geagea – Journal of Education for Teaching: International Research and Pedagogy, 2024
Australian universities are mandated to implement non-academic on-entry evaluations for all initial teacher education candidates. Universities have introduced interviews, written applications, psychometric tests, and more recently, simulation. This research sought to determine if simulation as an evaluation tool had utility as a measure of…
Descriptors: Preservice Teachers, Teacher Evaluation, Teaching Skills, Teacher Characteristics
Majd, Mariam; Page-Hoongrajok, Amanda – Journal of Economic Education, 2023
The authors of this article propose a classroom simulation designed for advanced economics or finance courses whereby student teams role-play Moody's sovereign credit risk analysts. Despite the importance of sovereign credit risk ratings in affecting the funding liquidity of countries, the process generating ratings is a black box. The authors use…
Descriptors: Economics Education, Finance Occupations, Risk, Credit (Finance)
A Sequential Bayesian Changepoint Detection Procedure for Aberrant Behaviors in Computerized Testing
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
Ali A. Alzubi; Mohd Nazim; Jalal Ahamad – Journal of Pedagogical Research, 2024
Educators, including English Language Teaching practitioners, acknowledge the influence of collaborative learning on students' learning experiences, as demonstrated by numerous studies conducted in diverse contexts. This research, however, keeping instructional innovation, students' collaborative engagement, language learning and classroom…
Descriptors: Cooperative Learning, English (Second Language), Second Language Learning, Second Language Instruction
Wang, Cheng; Butts, Carter T.; Hipp, John; Lakon, Cynthia M. – Sociological Methods & Research, 2022
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…
Descriptors: Models, Goodness of Fit, Comparative Analysis, Computer Software
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2021
Large-scale assessments (LSAs) use Mislevy's "plausible value" (PV) approach to relate student proficiency to noncognitive variables administered in a background questionnaire. This method requires background variables to be completely observed, a requirement that is seldom fulfilled. In this article, we evaluate and compare the…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Statistical Inference
Baird, Michael; Clare, Joseph – International Journal for Educational Integrity, 2017
Introduction: With a definition that is evolving, a serious component of the contract cheating issue involves individuals paying a third-party to complete assessment items for them and then submitting this work as if it were their own. The issue of contract cheating poses a significant problem for tertiary institutions. The research literature…
Descriptors: Crime Prevention, Cheating, Ethics, Higher Education
Zitzelsberger, Hilde; Coffey, Sue; Graham, Leslie; Papaconstantinou, Efrosini; Anyinam, Charles – Journal of Education and Practice, 2017
Simulation-based learning (SBL) is rapidly becoming one of the most significant teaching-learning-evaluation strategies available in undergraduate nursing education. While there is indication within the literature and anecdotally about the benefits of simulation, abundant and strong evidence that supports the effectiveness of simulation for…
Descriptors: Teaching Methods, Undergraduate Study, Nursing Education, Foreign Countries
Parle, Gabrielle; Laing, Gregory K. – e-Journal of Business Education and Scholarship of Teaching, 2017
The use of an investment portfolio simulation as an assessment task is intended to reinforce learning by involving students in practical application of theoretical principles in a real-time actual financial market. Simulation as a teaching pedagogy promotes individual involvement and provides students with a deeper understanding of the issues, and…
Descriptors: Investment, Task Analysis, Teaching Methods, Money Management
Gongjun Xu; Tony Sit; Lan Wang; Chiung-Yu Huang – Grantee Submission, 2017
Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for…
Descriptors: Sampling, Statistical Inference, Computation, Generalization