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Michael Nagel; Lukas Fischer; Tim Pawlowski; Augustin Kelava – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichlet-horseshoe, a new prior distribution that combines and expands on the concepts of the regularized horseshoe and the Dirichlet-Laplace priors, is a…
Descriptors: Bayesian Statistics, Regression (Statistics), Computation, Statistical Distributions
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Pelánek, Radek; Effenberger, Tomáš – ACM Transactions on Computing Education, 2023
To provide practice and assessment of computational thinking, we need specific problems students can solve. There are many such problems, but they are hard to find. Learning environments and assessments often use only specific types of problems and thus do not cover computational thinking in its whole scope. We provide an extensive catalog of…
Descriptors: Computation, Thinking Skills, Problem Solving, Learning Activities
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Xiaoling Zhang; Fenia Aivaloglou; Marcus Specht – European Journal of STEM Education, 2024
Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews,…
Descriptors: Computation, Thinking Skills, Higher Education, 21st Century Skills
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Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
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Aino Ukkonen; Aman Yadav; Katarina Pajchel; Constantinos Xenofontos – Journal of Technology and Teacher Education, 2024
Computational thinking (CT) is increasingly integrated into education, promoting problem-solving skills essential for the 21st century. However, little is known about how teachers assess CT in K-12 classrooms. This qualitative study explores elementary teachers' approaches to CT assessment after professional development in integrating CT into core…
Descriptors: Elementary School Teachers, Thinking Skills, Evaluation Methods, Troubleshooting
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Deschênes, Marie-France; Dionne, Éric; Dorion, Michelle; Grondin, Julie – Practical Assessment, Research & Evaluation, 2023
The use of the aggregate scoring method for scoring concordance tests requires the weighting of test items to be derived from the performance of a group of experts who take the test under the same conditions as the examinees. However, the average score of experts constituting the reference panel remains a critical issue in the use of these tests.…
Descriptors: Scoring, Tests, Evaluation Methods, Test Items
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Lili Zhou; TienTien Lee; Mingming Xing; Kaifeng Xue – Science & Education, 2025
Green development is an effective mode of economic growth and social development aiming at efficiency, harmony, and sustainability, which has become an important trend. The development of green industry is taken by many countries as an important measure to promote economic restructuring and highlighting environmental awareness. The green chemistry…
Descriptors: Scientific Literacy, Scientific Attitudes, Conservation (Environment), Chemistry
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Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design
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Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
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Hossein Kermani; Alireza Bayat Makou; Amirali Tafreshi; Amir Mohamad Ghodsi; Ali Atashzar; Ali Nojoumi – International Journal of Social Research Methodology, 2024
Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…
Descriptors: COVID-19, Pandemics, Automation, Foreign Countries
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Park, Seohee; Kim, Kyung Yong; Lee, Won-Chan – Journal of Educational Measurement, 2023
Multiple measures, such as multiple content domains or multiple types of performance, are used in various testing programs to classify examinees for screening or selection. Despite the popular usages of multiple measures, there is little research on classification consistency and accuracy of multiple measures. Accordingly, this study introduces an…
Descriptors: Testing, Computation, Classification, Accuracy
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He, Yinhong – Journal of Educational Measurement, 2023
Back random responding (BRR) behavior is one of the commonly observed careless response behaviors. Accurately detecting BRR behavior can improve test validities. Yu and Cheng (2019) showed that the change point analysis (CPA) procedure based on weighted residual (CPA-WR) performed well in detecting BRR. Compared with the CPA procedure, the…
Descriptors: Test Validity, Item Response Theory, Measurement, Monte Carlo Methods
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Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
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Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2022
Proposed is a new method of standard setting referred to as response vector for mastery (RVM) method. Under the RVM method, the task of panelists that participate in the standard setting process does not involve conceptualization of a borderline examinee and probability judgments as it is the case with the Angoff and bookmark methods. Also, the…
Descriptors: Standard Setting (Scoring), Cutting Scores, Computation, Mastery Learning
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Stewart, William H.; Baek, Kwanwoo – International Journal of Computer Science Education in Schools, 2023
Computational Thinking (CT) has become popular in recent years and has been recognized as an essential skill for everyone in the digital age. CT literature, however, is at an early stage of development, and there is no consensus among researchers/scholars in the field. To date, many have been unable to concretely explain what CT is, or how to…
Descriptors: Computation, Thinking Skills, Programming, Literature Reviews
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