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Showing 946 to 960 of 2,031 results Save | Export
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Hohensee, Charles, Ed.; Lobato, Joanne, Ed. – Research in Mathematics Education, 2021
This book provides a common language for and makes connections between transfer research in mathematics education and transfer research in related fields. It generates renewed excitement for and increased visibility of transfer research, by showcasing and aggregating leading-edge research from the transfer research community. This book also helps…
Descriptors: Transfer of Training, Mathematics Education, Learning Theories, Mathematical Logic
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Alqahtani, Muteb M.; Hall, Jacob A.; Leventhal, Maryssa; Argila, Alyssa N. – Digital Experiences in Mathematics Education, 2022
While programming was introduced to mathematics classrooms in the 1980s, emerging robotic technologies have encouraged more widespread integration of these technologies to support the development of K-12 students' mathematical reasoning. The recent emphasis of programming and computational thinking in K-12 education has highlighted the need to…
Descriptors: Mathematics Instruction, Teaching Methods, Robotics, Pretests Posttests
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Bubica, Nikolina; Boljat, Ivica – Informatics in Education, 2022
The new Croatian Informatics curriculum, which introduces computational thinking concepts into learning outcomes has been put into practice. A computational thinking assessment model reflecting the learning outcomes of the Croatian curriculum was created using an evidence-centered design approach. The possibility of assessing the computational…
Descriptors: Thinking Skills, Foreign Countries, Information Science Education, Computer Science Education
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Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
Andrea Beesley; Jared Boyce; Patrik Lundh; Carol Tate; Mindy Hsiao; Elise Levin-Guracar – SRI Education, a Division of SRI International, 2022
This memo includes results of data collection from the second cohort of Collaborative Partnership to Teach Mathematical Reasoning Through Computer Programming (CPR2) teachers from classroom implementation of CPR2 in fall 2021. Findings are included for the student pre-assessment, Student Computer Science Attitude Survey, and Learning Mathematics…
Descriptors: Middle Schools, Middle School Mathematics, Computer Science Education, Programming
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Brigas, Carlos Jorge; Figueiredo, José Alberto Quitério – Research in Social Sciences and Technology, 2019
In recent years, there has been an increased effort to introduce coding and computational thinking in early childhood education. In accordance with the international trend, programming has become an increasingly growing focus in European education. The idea of introducing computer programming in the classroom dates back to the late 1960s. The…
Descriptors: Computer Science Education, Thinking Skills, Coding, Elementary School Students
Tamatea, Laurence – Research and Practice in Technology Enhanced Learning, 2019
Internationally, coding is increasingly introduced into primary and junior high schools (children generally aged between 5 and 15) on a compulsory basis, though not all stakeholders support this 'initiative'. In response to the public reception, discussion highlights popular argument around compulsory coding in school education. This is an…
Descriptors: Coding, Programming, Computer Science Education, Required Courses
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Karnalim, Oscar; Budi, Setia; Toba, Hapnes; Joy, Mike – Informatics in Education, 2019
Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue. However, comparing these techniques may be challenging, since they are evaluated with their own private dataset(s). This paper contributes in providing a public dataset for comparing these…
Descriptors: Plagiarism, Computer Science Education, Comparative Analysis, Problem Solving
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Thuné, Michael; Eckerdal, Anna – European Journal of Engineering Education, 2019
Previous research shows that many students find it difficult to learn computer programming. To learn computer programming includes both gaining theoretical understanding and learning to develop programmes in practice. To this end, teachers commonly design programming exercises for the students in the computer laboratory. To be able to improve the…
Descriptors: Programming, Computer Science Education, Theory Practice Relationship, Science Laboratories
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Ayub, Mewati; Karnalim, Oscar; Risal, Risal; Senjaya, Wenny Franciska; Wijanto, Maresha Caroline – Journal of Technology and Science Education, 2019
Due to its high failure rate, Introductory Programming has become a main concern. One of the main issues is the incapability of slow-paced students to cope up with given programming materials. This paper proposes a learning technique which utilises pair programming to help slow-paced students on Introductory Programming; each slow-paced student is…
Descriptors: Introductory Courses, Computer Science Education, Teaching Methods, Programming
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Peng, Jun; Wang, Minhong; Sampson, Demetrios; van Merriënboer, Jeroen J. G. – Australasian Journal of Educational Technology, 2019
Project-based learning (PjBL) has been widely promoted in educational practice, for example, computer programming education. While PiBL may help learners to connect abstract knowledge with authentic practice, the complexity of completing an authentic project may overwhelm learners, making them unable to achieve the desired learning outcomes. This…
Descriptors: Computer Science Education, Programming, Visualization, Active Learning
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Xie, Benjamin; Loksa, Dastyni; Nelson, Greg L.; Davidson, Matthew J.; Dong, Dongsheng; Kwik, Harrison; Tan, Alex Hui; Hwa, Leanne; Li, Min; Ko, Andrew J. – Computer Science Education, 2019
Background and Context: Current introductory instruction fails to identify, structure, and sequence the many skills involved in programming. Objective: We proposed a theory which identifies four distinct skills that novices learn incrementally. These skills are tracing, writing syntax, comprehending templates (reusable abstractions of programming…
Descriptors: Programming, Skill Development, Computer Science Education, Instructional Design
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Denner, Jill; Campe, Shannon; Werner, Linda – ACM Transactions on Computing Education, 2019
It is widely believed that there are educational benefits to making computer games, but there is no systematic review of research on this topic. This article describes a meta-synthesis of research on children designing and programming computer games that investigates the extent to which there is evidence of benefits for computer science learning…
Descriptors: Computer Games, Design, Programming, Children
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Buitrago Flórez, Francisco; Casallas, Rubby; Hernández, Marcela; Reyes, Alejandro; Restrepo, Silvia; Danies, Giovanna – Review of Educational Research, 2017
Computational thinking (CT) uses concepts that are essential to computing and information science to solve problems, design and evaluate complex systems, and understand human reasoning and behavior. This way of thinking has important implications in computer sciences as well as in almost every other field. Therefore, we contend that CT should be…
Descriptors: Computation, Computer Science Education, Programming, Problem Solving
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von Wangenheim, Christiane Gresse; Alves, Nathalia Cruz; Rodrigues, Pedro Eurico; Hauck, Jean Carlo – International Journal of Computer Science Education in Schools, 2017
In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as a lack of computing teachers and time in an already overloaded curriculum. A solution may be a multidisciplinary approach, integrating computing…
Descriptors: Computer Science Education, Computation, Thinking Skills, Interdisciplinary Approach
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