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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
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Berna Yüner – Journal of Theoretical Educational Science, 2023
In parallel with the increase in social expectations regarding education and its outcomes, studies on school effectiveness continue unabated. The ability of educational organizations to provide qualitatively higher education has become the focus of the researches. In this direction, school governance, the adaptation of governance principles to…
Descriptors: School Effectiveness, Predictor Variables, Foreign Countries, Evaluation Methods
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Ying Zhan; Daner Sun; Ho Man Kong; Ye Zeng – British Journal of Educational Technology, 2024
There is a global trend in the increased adoption of e-assessment in school classrooms to enhance learning. Teachers, as classroom-based assessment designers and implementers, play a vital role in such assessment change. However, little is known about school teachers' classroom-based e-assessment practices and the underlying reasons. To address…
Descriptors: Elementary School Teachers, Student Evaluation, Evaluation Methods, Educational Technology
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Neto, Joana; Neto, Félix; Furnham, Adrian – Assessment & Evaluation in Higher Education, 2023
The aim of this study is to examine whether a preference for specific assessment methods in higher education is associated with personality and character strengths. Two-hundred and seventy Portuguese students completed a survey of character strengths, a Big Five personality test and their preference for each of six higher education assessment…
Descriptors: Predictor Variables, Student Attitudes, Preferences, Evaluation Methods
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Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
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Bilge Gök; Mahmut Ayaz; Yasemin Erdem; Yusuf Kasap – International Journal of Technology in Education, 2024
This current study aims to determine the factors affecting teachers' attitudes towards e-portfolios by using data mining methods such as the Classification and Regression Tree (CART) algorithm and Random Forest (RF) algorithm. The study group consists of 449 participants willing to participate on a volunteer basis. In the study, the data were…
Descriptors: Foreign Countries, Elementary School Teachers, Portfolio Assessment, Technology Integration
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Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
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Saule Bekova – Higher Education Research and Development, 2025
The decline in doctoral program completion has become one of the main challenges in doctoral education worldwide. As concern about this issue grows, the number of studies examining the topic has also increased. Many of these studies, which aim to identify the factors that contribute to high attrition rates, rely on cross-sectional data and often…
Descriptors: Intention, Doctoral Degrees, Outcomes of Education, Dropouts
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Johnston, Michael; Wood, Bronwyn Elisabeth; Cherrington, Sue; Boniface, Suzanne; Mortlock, Anita – Educational Assessment, 2022
In this paper, we report an exploratory investigation of the types of assessment in a variety of high school subjects that best predicted subsequent success at university in those subjects. In social sciences and the humanities, internal (school-based) assessment was a better predictor of university success than external, examination-based…
Descriptors: Student Evaluation, Predictor Variables, Academic Achievement, High School Students
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Wang, Shutao; Zhang, Demei – Assessment & Evaluation in Higher Education, 2020
The aim of this study was to determine the mediating effect of learning engagement on the relationship between perceived teacher feedback and college students' academic performance, and the moderating effect of assessment characteristics on the relationship between perceived teacher feedback and learning engagement. A sample of 2,458 students in a…
Descriptors: Feedback (Response), Academic Achievement, Learner Engagement, Student Evaluation
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Levy, Jessica; Brunner, Martin; Keller, Ulrich; Fischbach, Antoine – Educational Assessment, Evaluation and Accountability, 2019
Value-added (VA) modeling can be used to quantify teacher and school effectiveness by estimating the effect of pedagogical actions on students' achievement. It is gaining increasing importance in educational evaluation, teacher accountability, and high-stakes decisions. We analyzed 370 empirical studies on VA modeling, focusing on modeling and…
Descriptors: Value Added Models, Teacher Effectiveness, School Effectiveness, Academic Achievement
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Ayodele Abosede Ogegbo; Umesh Ramnarain; Joseph Krajcik – Journal of Research in Science Teaching, 2024
Inquiry-Based Teaching Practice (IBTP) is an essential component of science education, and promoting its implementation is at the heart of various reform efforts. Even though science teachers regard IBTP as an essential pedagogical method, they rarely use it for various reasons. This study utilizes Bronfenbrenner's ecological framework to examine…
Descriptors: Predictor Variables, Teaching Methods, Active Learning, Inquiry
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Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
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Reza, Maleki Ali; Zeraatpishe, Mitra; Faravani, Akram – International Journal of Instruction, 2019
One of the most significant issues in the process of teaching and learning is to consider students' individual differences. The aim of this study was to investigate the interrelationships among Iranian EFL Learners' Typical Intellectual Engagement, Learning Style and Preference for Assessment Methods. The sample included 200 English learners…
Descriptors: Path Analysis, Learner Engagement, Intellectual Experience, Cognitive Style
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Turner, David A. – Compare: A Journal of Comparative and International Education, 2017
In his proposal for comparative education, Marc Antoinne Jullien de Paris argues that the comparative method offers a viable alternative to the experimental method. In an experiment, the scientist can manipulate the variables in such a way that he or she can see any possible combination of variables at will. In comparative education, or in…
Descriptors: Comparative Education, Comparative Analysis, Research Methodology, Predictor Variables
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