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Sayac, Nathalie; Veldhuis, Michiel – International Journal of Science and Mathematics Education, 2022
We investigated French primary school teachers' assessment practice in mathematics. Using an online questionnaire on teachers' background, teaching, and grading practice, we were able to determine assessment profiles of 604 primary school teachers. As evidenced by the teachers' scores on the latent factors Assessment purposes, Assessment…
Descriptors: Foreign Countries, Elementary School Teachers, Mathematics Instruction, Evaluation Methods
Pannapawadee Boonsot; Chowwalit Chookhampaeng – Journal of Education and Learning, 2025
This study aims (1) to develop an instructional model to enhance mathematical literacy for secondary students and (2) to examine the effects of using this instructional model. The sample group consisted of students from Lampabpla Wittayakarn School, under the jurisdiction of the Surin Secondary Educational Service Area Office in Thailand by using…
Descriptors: Foreign Countries, Instructional Design, Mathematics Instruction, Mathematics Education
Sean Joo; Montserrat Valdivia; Dubravka Svetina Valdivia; Leslie Rutkowski – Journal of Educational and Behavioral Statistics, 2024
Evaluating scale comparability in international large-scale assessments depends on measurement invariance (MI). The root mean square deviation (RMSD) is a standard method for establishing MI in several programs, such as the Programme for International Student Assessment and the Programme for the International Assessment of Adult Competencies.…
Descriptors: International Assessment, Monte Carlo Methods, Statistical Studies, Error of Measurement
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
Seung-Hwan Ham; Wei Liao; Yisu Zhou – International Journal of Inclusive Education, 2024
Educational scholars have argued for fair pedagogical practices in response to the learning needs of diverse students. While pedagogical fairness has been widely advocated, few studies have systematically assessed its impact on student learning, and even fewer have examined pedagogical fairness from a school organisational perspective. To narrow…
Descriptors: Immigrants, Student Diversity, Student Needs, Equal Education
Okan Bulut; Guher Gorgun; Hacer Karamese – Journal of Educational Measurement, 2025
The use of multistage adaptive testing (MST) has gradually increased in large-scale testing programs as MST achieves a balanced compromise between linear test design and item-level adaptive testing. MST works on the premise that each examinee gives their best effort when attempting the items, and their responses truly reflect what they know or can…
Descriptors: Response Style (Tests), Testing Problems, Testing Accommodations, Measurement
Bezek Güre, Özlem; Sevgin, Hikmet; Kayri, Murat – International Journal of Contemporary Educational Research, 2023
The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…
Descriptors: Achievement Tests, International Assessment, Secondary School Students, Foreign Countries
Torrijos-Muelas, Marta; González-Víllora, Sixto; Osma, Ana Rosa Bodoque; Guijarro, Eva – International Journal of Science Education, 2023
Science is part of the educational curricula, and its teaching is the responsibility of teachers. Since 2000, scholars from The Organisation for Economic Co-operation (OECD) countries have been tested in science by the Programme for International Student Assessment (PISA), despite the diversity in national higher education systems. This requires a…
Descriptors: Preservice Teachers, Foreign Countries, Scientific Literacy, Teaching Methods
Cassandra N. Malcom – ProQuest LLC, 2024
Science, Technology, Engineering, and Math (STEM) skills are increasingly required of students to be successful in higher education and the workforce. Therefore, modeling assessment outcomes accurately, often using more types of student data to get a complete picture of student learning, is increasingly relevant. The Program for International…
Descriptors: Student Evaluation, STEM Education, Science Tests, Achievement Tests
Surina He; Xiaoxiao Liu; Ying Cui – Educational Psychology, 2025
The increasing use of low-stakes international assessments highlights the importance of test-taking efforts. Previous studies have used self-reported and response time-based measures to examine this effort. Although differences between these measures have been suggested, their association with performances and potential gender gaps remains…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
Yan, Zi; Chiu, Ming Ming – British Educational Research Journal, 2023
Despite the general consensus on the positive impact of formative assessment on student learning, researchers have not shown the underlying mechanisms between specific formative assessment strategies and academic performance on an international sample. This study examines the link between student and teacher reports of teachers' formative…
Descriptors: Formative Evaluation, Evaluation Methods, Reading Achievement, Correlation
Carmen Köhler; Lale Khorramdel; Artur Pokropek; Johannes Hartig – Journal of Educational Measurement, 2024
For assessment scales applied to different groups (e.g., students from different states; patients in different countries), multigroup differential item functioning (MG-DIF) needs to be evaluated in order to ensure that respondents with the same trait level but from different groups have equal response probabilities on a particular item. The…
Descriptors: Measures (Individuals), Test Bias, Models, Item Response Theory
Luis Vargas-Montoya; Gregorio Gimenez; Liubov Tkacheva – Education and Information Technologies, 2024
Previous literature highlights the potential of ICT use to enhance mathematical learning. There are also several theoretical arguments supporting that gifted education benefits from ICT use. However, empirical studies have paid little attention to the relationship between ICT use and gifted students' mathematics performance. It is also unclear…
Descriptors: Academically Gifted, Mathematics Education, Information Technology, Technology Uses in Education
Rockliffe, Andrew; Mckay, Jane – Research in Education, 2023
In this paper, we present a novel approach to defining, teaching, and assessing creativity by examining its origins and delineating the processes involved. The rationale for introducing this framework developed from studying existing thinking and questioning the current metrics for measuring creativity, which we posit are unfit for purpose. We…
Descriptors: Teaching Methods, Creative Teaching, Creativity, Learning Processes
Mangino, Anthony A.; Bolin, Jocelyn H.; Finch, W. Holmes – Educational and Psychological Measurement, 2023
This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…
Descriptors: Prediction, Classification, Monte Carlo Methods, Foreign Countries