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Schwarzer, Guido; Efthimiou, Orestis; Rücker, Gerta – Research Synthesis Methods, 2021
The Peto odds ratio is a well-known effect measure in meta-analysis of binary outcomes. For pairwise comparisons, the Peto odds ratio estimator can be severely biased in the situation of unbalanced sample sizes in the two treatment groups or large treatment effects. In this publication, we evaluate Peto odds ratio estimators in the setting of…
Descriptors: Meta Analysis, Sample Size, Computation, Probability
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Rott, Kollin W.; Lin, Lifeng; Hodges, James S.; Siegel, Lianne; Shi, Amy; Chen, Yong; Chu, Haitao – Research Synthesis Methods, 2021
Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for…
Descriptors: Bayesian Statistics, Meta Analysis, Computation, Networks
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McCartney, Mark – International Journal of Mathematical Education in Science and Technology, 2021
An elementary method to calculate the area, centroid and volume of rotation of the Koch curve is presented. Classroom extensions are provided to allow students to investigate the method used.
Descriptors: Mathematics Instruction, Teaching Methods, Geometry, Computation
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Quintano, Mateus M.; Silva, Mateus X.; Belchior, Jadson C.; Braga, Joa~o P. – Journal of Chemical Education, 2021
Periodicity in electronic molar entropy values has been shown on the basis of the electronic structures of the elements. Also, with the approximations discussed herein, one can estimate the electronic molar entropy without atomic spectroscopy results. All of this can be accomplished by showing the connection between the vector model of the atom…
Descriptors: Quantum Mechanics, Molecular Structure, Thermodynamics, Computation
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Andreas Brandsaeter; Runar Lie Berge – Educational Studies in Mathematics, 2025
The reasons for teaching programming in school are indeed manifold. Programming can for example be utilized as a vehicle for understanding and learning particular mathematical subject matter, or as a tool for solving mathematical problems. In this paper, however, we propose to utilize programming as a vehicle for developing mathematical…
Descriptors: Mathematics Skills, Skill Development, Competence, Programming
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Kathryn Lavin Brave; Izzy Berman; Debita Basu; Alexis Szkotak – TEACHING Exceptional Children, 2025
Manipulative-based instructional sequences have proven to be successful with students with disabilities. However, instruction must not only support the acquisition of conceptual and procedural knowledge but also build on students' strengths. This article describes how teachers can use manipulative-based instructional sequences to support the…
Descriptors: Teaching Methods, Manipulative Materials, Fractions, Mathematical Concepts
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Yash Munnalal Gupta; Satwika Nindya Kirana; Somjit Homchan – Biochemistry and Molecular Biology Education, 2025
This short paper presents an educational approach to teaching three popular methods for encoding DNA sequences: one-hot encoding, binary encoding, and integer encoding. Aimed at bioinformatics and computational biology students, our learning intervention focuses on developing practical skills in implementing these essential techniques for…
Descriptors: Science Instruction, Teaching Methods, Genetics, Molecular Biology
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Boris Forthmann; Benjamin Goecke; Roger E. Beaty – Creativity Research Journal, 2025
Human ratings are ubiquitous in creativity research. Yet, the process of rating responses to creativity tasks -- typically several hundred or thousands of responses, per rater -- is often time-consuming and expensive. Planned missing data designs, where raters only rate a subset of the total number of responses, have been recently proposed as one…
Descriptors: Creativity, Research, Researchers, Research Methodology
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Anass Bayaga – International Journal of Technology in Education, 2025
This investigation explored the role of artificial intelligence (AI)-powered gamification on mathematics cognition through a mixed-methods design, blending an intervention with a gamified learning application (app) and a survey to evaluate student engagement and performance. The study explores the nexus of gamification, AI, and mathematics…
Descriptors: Artificial Intelligence, Problem Solving, Game Based Learning, Mathematics Instruction
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Sermin Metin; Damla Kalyenci; Mehmet Basaran; Emily Relkin; Büsra Bilir – Early Childhood Education Journal, 2025
The domain of early childhood education has witnessed an increasing emphasis on developing coding and computational thinking (CT) abilities. Scholarly investigations have delved into appropriate approaches for enhancing these proficiencies within early childhood classrooms. The present study aims to investigate the impact of a digital story design…
Descriptors: Early Childhood Education, Coding, Computation, Thinking Skills
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Sixuan Xiang; Jenny Wanyi Li; Weipeng Yang – Education and Information Technologies, 2025
This study aims to develop and validate an age-appropriate, easily manipulated, and robot-based assessment named Computational Thinking Observational Scale (CTOS) for 3- to 5-year-olds. The study sample included 46 preschoolers (M[subscript age] = 3.57 years, SD = 0.36). Expert judgment confirmed excellent content validity, yielding a Scale-level…
Descriptors: Test Construction, Robotics, Computation, Thinking Skills
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Nihumathunnisa H.; Jahitha Begum A.; Sathishkumar A. – Journal on Educational Psychology, 2025
Executive functioning skills are very essential components of effective learning, innovative thinking, and decision-making that are necessary for the growing minds of the twenty-first century. Executive functioning refers to the collection of mental processes that guide and control psychological behavior and activities. Working memory, attentional…
Descriptors: Executive Function, Computation, Thinking Skills, Academic Achievement
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Kun Sun; Rong Wang – Cognitive Science, 2025
The majority of research in computational psycholinguistics on sentence processing has focused on word-by-word incremental processing within sentences, rather than holistic sentence-level representations. This study introduces two novel computational approaches for quantifying sentence-level processing: sentence surprisal and sentence relevance.…
Descriptors: Reading Rate, Reading Comprehension, Sentences, Computation
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Monica Maheshwari; Priyanka Bhatt – Discover Education, 2025
Innovation competencies represent critical determinants for human capital development within contemporary organizational frameworks. This empirical investigation proposes a comprehensive theoretical model examining self-regulated learning (SRL) as a foundational mechanism driving innovation skill acquisition among management graduates. The study…
Descriptors: Learning Strategies, Self Management, Metacognition, Cognitive Processes
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Roy Ardiansyah; Soetarno Joyoatmojo; Gunarhadi; Idam Ragil Widianto Atmojo; Ira Wati Subandi; Rizqi Karisma Rahmadian – Educational Process: International Journal, 2025
Background/purpose. 21st-century skills are essential across all aspects of life in the modern era. Pre-service elementary school teachers must also develop computational thinking skills as part of the problem-solving process--one of the most critical 21st-century competencies. These skills are critical in science learning and serve as fundamental…
Descriptors: Preservice Teachers, Elementary School Teachers, Scientific Concepts, Computation
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