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Orit Hazzan; Yael Erez – ACM Transactions on Computing Education, 2025
In this opinion piece, we explore the idea that GenAI has the potential to fundamentally disrupt computer science education (CSE) by drawing insights from 10 pedagogical and cognitive theories and models. We highlight how GenAI improves CSE by making educational practices more effective and requires less effort and time, and all at a lower cost,…
Descriptors: Computer Science Education, Artificial Intelligence, Technology Uses in Education, Educational Change
Christopher Doss; John F. Pane; Victoria Jones – Annenberg Institute for School Reform at Brown University, 2025
Despite efforts to broaden participation in computer science and its related fields, there exist stark disparities in participation in computer related fields by gender, race/ethnicity, and socio-economic status. One approach to combat these disparities is to expose children to computing concepts early, to provide them with the foundational skills…
Descriptors: Teaching Methods, Computation, Thinking Skills, Skill Development
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Hurst, Chris; Huntley, Ray – Journal of Research and Advances in Mathematics Education, 2020
Multiplicative thinking underpins much of the mathematics learned beyond the middle primary years. As such, it needs to be understood conceptually to highlight the connections between its many aspects. This paper focuses on one such connection; that is how the array, place value partitioning and the distributive property of multiplication are…
Descriptors: Multiplication, Mathematics Instruction, Teaching Methods, Concept Formation
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Lonati, Violetta – Informatics in Education, 2020
The Bebras challenge offers pupils and teachers an engaging opportunity to discover informatics, by solving small tasks that aim at promoting computational thinking. Explanations and comments that reveal the computing concepts underlying the tasks are published after the contest, and teachers are encouraged to use this material in their school…
Descriptors: Foreign Countries, Computer Science Education, Information Science, Computation
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Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
A measure of similarity of educational items has many applications in adaptive learning systems and can be useful also for teachers and content creators. We provide a thorough overview of approaches for measuring item similarity. We document the computation pipeline, explicitly highlighting many choices that have to be made in order to quantify…
Descriptors: Educational Technology, Instructional Materials, Measurement Techniques, Differences
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Yazici, Sevil – International Journal of Technology and Design Education, 2020
Digital design and fabrication tools obtain constraints affecting creativity in conceptual design phase. There is a necessity to have a better understanding of issues related to the rationalization process of form, material and fabrication. The objective of this paper is to integrate analogue craft into architectural design studio that can be…
Descriptors: Manufacturing, Building Design, Architectural Education, Computer Uses in Education
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Nicoletti, Maria do Carmo; de Oliveira, Osvaldo Luiz – Higher Education Studies, 2020
In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course…
Descriptors: Artificial Intelligence, Man Machine Systems, Computation, Prediction
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MacDonald, Beth L.; Moss, Diana L.; Hunt, Jessica H. – Mathematics Teacher: Learning and Teaching PK-12, 2020
In this article, the authors share how gameplay with dominoes can leverage students' quantitative reasoning to promote number development and additive reasoning. This article explores three domino games (Basic Dominoes, Just Before/Just After, and Ten Train), and considers the following: (1) rules and details; (2) students' subitizing and unit…
Descriptors: Games, Mathematics Instruction, Computation, Numeracy
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Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Kelley's Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item-total correlation, DI can reach the ultimate values of +1 and -1, and it is stable against the outliers. Because of the computational easiness, DI is…
Descriptors: Test Items, Computation, Item Analysis, Nonparametric Statistics
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Peugh, James; Feldon, David F. – CBE - Life Sciences Education, 2020
Structural equation modeling is an ideal data analytical tool for testing complex relationships among many analytical variables. It can simultaneously test multiple mediating and moderating relationships, estimate latent variables on the basis of related measures, and address practical issues such as nonnormality and missing data. To test the…
Descriptors: Structural Equation Models, Goodness of Fit, Statistical Analysis, Computation
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Dennis, Minyi Shih; Gratton-Fisher, Emma – Learning Disabilities Research & Practice, 2020
Secondary students with persistent mathematics difficulties need the most intensive intervention in order to improve their mathematics outcomes. One approach to intensifying and individualizing intervention is through data-based individualization (DBI). The present study used a single-subject, multiple-baseline-across-participants,…
Descriptors: High School Students, Mathematics Skills, Computation, Mathematical Concepts
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Bortz, Whitney Wall; Gautam, Aakash; Tatar, Deborah; Lipscomb, Kemper – Journal of Science Education and Technology, 2020
Integrating computational thinking (CT) and science education is complex, and assessing the resulting learning gains even more so. Arguments that assessment should match the learning (Biggs, "Assessment & Evaluation in Higher Education," 21(1), 5-16. 1996; Airasian and Miranda, "Theory into Practice," 41(4), 249-254. 2002;…
Descriptors: Computation, Thinking Skills, Science Education, Evaluation Methods
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Calderon, Ana C.; Skillicorn, Deiniol; Watt, Andrew; Perham, Nick – Education and Information Technologies, 2020
We propose the first steps towards a rigorous analysis of the effectiveness of an emerging pedagogy, Computational Thinking. We found that two aspects of the pedagogy have a positive effect with regard to enhancing two cognitive processes, namely sequential thinking and in abstract thinking. Our data was gathered experimentally with a cohort of…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Logical Thinking
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Bejjanki, Vikranth R.; Randrup, Emily R.; Aslin, Richard N. – Developmental Science, 2020
Human adults are adept at mitigating the influence of sensory uncertainty on task performance by integrating sensory cues with learned prior information, in a Bayes-optimal fashion. Previous research has shown that young children and infants are sensitive to environmental regularities, and that the ability to learn and use such regularities is…
Descriptors: Young Children, Sensory Experience, Cues, Learning Processes
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Lockwood, Elise; De Chenne, Adaline – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
Computational activity is increasingly relevant in education and society, and researchers have investigated its role in students' mathematical thinking and activity. More work is needed within mathematics education to explore ways in which computational activity might afford development of mathematical practices. In this paper, we specifically…
Descriptors: Undergraduate Students, Computation, Problem Solving, Programming
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