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Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
Sample Size and Item Parameter Estimation Precision When Utilizing the Masters' Partial Credit Model
Custer, Michael; Kim, Jongpil – Online Submission, 2023
This study utilizes an analysis of diminishing returns to examine the relationship between sample size and item parameter estimation precision when utilizing the Masters' Partial Credit Model for polytomous items. Item data from the standardization of the Batelle Developmental Inventory, 3rd Edition were used. Each item was scored with a…
Descriptors: Sample Size, Item Response Theory, Test Items, Computation
Toukiloglou, Pavlos; Xinogalos, Stelios – Journal of Educational Computing Research, 2022
Serious games are considered an effective method to engage students in programming education and have been increasingly used in classrooms. An important part of the learning process with serious games involves the presentation of the new concepts and the provided support to encounter student difficulties. Although the most common approach is the…
Descriptors: Game Based Learning, Programming, Program Effectiveness, Educational Games
Tim Jacobbe; Bob delMas; Brad Hartlaub; Jeff Haberstroh; Catherine Case; Steven Foti; Douglas Whitaker – Numeracy, 2023
The development of assessments as part of the funded LOCUS project is described. The assessments measure students' conceptual understanding of statistics as outlined in the GAISE PreK-12 Framework. Results are reported from a large-scale administration to 3,430 students in grades 6 through 12 in the United States. Items were designed to assess…
Descriptors: Statistics Education, Common Core State Standards, Student Evaluation, Elementary School Students
McConnell, Sarah E. A.; Mooney, Christopher J. – Anatomical Sciences Education, 2021
Knowledge of embryology is foundational for understanding normal anatomy and birth defects, yet, embryology is a notoriously difficult subject for medical students. Embryonic lateral folding in particular is one of the most challenging concepts in embryology. Highly effective teaching methods that promote active engagement with dynamic,…
Descriptors: Teaching Methods, Medical Education, Anatomy, Congenital Impairments
Wu, Chao-Jung; Liu, Chia-Yu; Yang, Chung-Hsuan; Jian, Yu-Cin – European Journal of Psychology of Education, 2021
Despite decades of research on the close link between eye movements and human cognitive processes, the exact nature of the link between eye movements and deliberative thinking in problem-solving remains unknown. Thus, this study explored the critical eye-movement indicators of deliberative thinking and investigated whether visual behaviors could…
Descriptors: Eye Movements, Reading Comprehension, Screening Tests, Scores
Zhang, Zhidong – International Education Studies, 2018
This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…
Descriptors: Algebra, Bayesian Statistics, Scores, Mathematics Achievement
McIntosh, James – Scandinavian Journal of Educational Research, 2019
This article examines whether the way that PISA models item outcomes in mathematics affects the validity of its country rankings. As an alternative to PISA methodology a two-parameter model is applied to PISA mathematics item data from Canada and Finland for the year 2012. In the estimation procedure item difficulty and dispersion parameters are…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, International Assessment
Ostrow, Korinn; Donnelly, Christopher; Adjei, Seth; Heffernan, Neil – Grantee Submission, 2015
Student modeling within intelligent tutoring systems is a task largely driven by binary models that predict student knowledge or next problem correctness (i.e., Knowledge Tracing (KT)). However, using a binary construct for student assessment often causes researchers to overlook the feedback innate to these platforms. The present study considers a…
Descriptors: Intelligent Tutoring Systems, Models, Difficulty Level, Scores
Abdi Tabari, Mahmoud; Miller, Michol – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2021
Although several studies have explored the effects of task sequencing on second language (L2) production, there is no established set of criteria to sequence tasks for learners in L2 writing classrooms. This study examined the effect of simple ?complex task sequencing manipulated along both resource-directing (± number of elements) and…
Descriptors: Language Fluency, Task Analysis, Second Language Learning, Second Language Instruction
Guo, Hongwen; Rios, Joseph A.; Haberman, Shelby; Liu, Ou Lydia; Wang, Jing; Paek, Insu – Applied Measurement in Education, 2016
Unmotivated test takers using rapid guessing in item responses can affect validity studies and teacher and institution performance evaluation negatively, making it critical to identify these test takers. The authors propose a new nonparametric method for finding response-time thresholds for flagging item responses that result from rapid-guessing…
Descriptors: Guessing (Tests), Reaction Time, Nonparametric Statistics, Models
Frick, Hannah; Strobl, Carolin; Zeileis, Achim – Educational and Psychological Measurement, 2015
Rasch mixture models can be a useful tool when checking the assumption of measurement invariance for a single Rasch model. They provide advantages compared to manifest differential item functioning (DIF) tests when the DIF groups are only weakly correlated with the manifest covariates available. Unlike in single Rasch models, estimation of Rasch…
Descriptors: Item Response Theory, Test Bias, Comparative Analysis, Scores
Edward Paul Getman – Online Submission, 2020
Despite calls for engaging assessments targeting young language learners (YLLs) between 8 and 13 years old, what makes assessment tasks engaging and how such task characteristics affect measurement quality have not been well studied empirically. Furthermore, there has been a dearth of validity research about technology-enhanced speaking tests for…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Learner Engagement
Schiffl, Iris – Universal Journal of Educational Research, 2016
Science standards have been a topic in educational research in Austria for about ten years now. Starting in 2005, competency structure models have been developed for junior and senior classes of different school types. After evaluating these models, prototypic tasks were created to point out the meaning of the models to teachers. At the moment,…
Descriptors: Science Education, Standards, Foreign Countries, Models
Bejar, Isaac I.; Deane, Paul D.; Flor, Michael; Chen, Jing – ETS Research Report Series, 2017
The report is the first systematic evaluation of the sentence equivalence item type introduced by the "GRE"® revised General Test. We adopt a validity framework to guide our investigation based on Kane's approach to validation whereby a hierarchy of inferences that should be documented to support score meaning and interpretation is…
Descriptors: College Entrance Examinations, Graduate Study, Generalization, Inferences