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Ramon Mayor Martins; Christiane Gresse Von Wangenheim – Informatics in Education, 2024
Information technology (IT) is transforming the world. Therefore, exposing students to computing at an early age is important. And, although computing is being introduced into schools, students from a low socio-economic status background still do not have such an opportunity. Furthermore, existing computing programs may need to be adjusted in…
Descriptors: Information Technology, Socioeconomic Status, Social Class, Computer Literacy
Bradley Hayes – ProQuest LLC, 2024
This dissertation in practice explores the intersection of computer science education, specifically computational thinking and programming, with mathematics achievement among 15- year-old students in selected English-speaking countries. The research addresses a gap in understanding whether skills developed through computer science can positively…
Descriptors: Programming, Computer Science Education, Mathematics Achievement, Secondary School Students
Ying Chen; Stephanie M. Werner – Illinois Workforce and Education Research Collaborative, Discovery Partners Institute, 2024
The purpose of "The State of Computer Science in Illinois High Schools Series" is to analyze the landscape, structures, and pathways to and through computer science (CS) education in Illinois and to create a baseline by which to measure the expansion of CS education in the coming years. The series will include five reports, each…
Descriptors: Computer Science Education, High School Students, Enrollment Trends, Grade 9
Williamson, Ben; Bergviken Rensfeldt, Annika; Player-Koro, Catarina; Selwyn, Neil – Journal of Education Policy, 2019
Education policy increasingly takes place across borders and sectors, involving a variety of both human and nonhuman actors. This comparative policy paper traces the 'policy mobilities,' 'fast policy' processes and distributed 'policy assemblages' that have led to the introduction of new computer programming practices into schools and curricula in…
Descriptors: Educational Policy, Computer Science Education, Programming, Foreign Countries
Sweet, Joseph D.; Carlson, David Lee – Journal of Curriculum and Pedagogy, 2019
This paper performs a case study of the hit television series, "Transparent," and considers the public pedagogy (Burdick & Sandlin, 2013) the show produces. In order to do this, it conducts a discourse analysis (Gee, 2015, 2017) of two scenes that take place during the show's first season. We conducted interviews with six members of…
Descriptors: Hidden Curriculum, Television, Programming (Broadcast), Television Curriculum
Acar, Tülin – International Journal of Assessment Tools in Education, 2019
The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS…
Descriptors: Sample Size, Computer Software, Probability, Statistical Analysis
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
Kumar, Amruth N. – International Educational Data Mining Society, 2023
Is there a pattern in how students solve Parsons puzzles? Is there a difference between the puzzle-solving strategies of C++ and Java students? We used Markov transition matrix to answer these questions. We analyzed the solutions of introductory programming students solving Parsons puzzles involving if-else statements and while loops in C++ and…
Descriptors: Markov Processes, Puzzles, Introductory Courses, Computer Science Education
Lopez-Fernandez, Daniel; Gordillo, Aldo; Perez, Jennifer; Tovar, Edmundo – IEEE Transactions on Education, 2023
Contribution: This article analyzes the learning and motivational impact of teacher-authored educational video games on computer science education and compares its effectiveness in both face-to-face and online (remote) formats. This work presents comparative data and findings obtained from 217 students who played the game in a face-to-face format…
Descriptors: Computer Science Education, Game Based Learning, Online Courses, In Person Learning
Humble, Niklas; Mozelius, Peter – International Journal of Information and Learning Technology, 2023
Purpose: The conducted examination of programming affordances and constraints had the purpose of adding knowledge and value that facilitate the on-going national curricula revision; knowledge that also could be of general interest outside the Swedish K-12 context. Design/methodology/approach: With a qualitative approach, the study was conducted as…
Descriptors: Programming, Affordances, Barriers, Foreign Countries
Grajdura, Sarah; Niemeier, Deb – Journal of Civil Engineering Education, 2023
Addressing societal issues in civil and environmental engineering increasingly requires skills in data science and programming. To date, there is not much known about the extent students are learning these skills in current civil and environmental engineering curricula. We conducted a survey of accredited civil and environmental engineering…
Descriptors: Civil Engineering, Engineering Education, Social Problems, Programming Languages
Gkiolnta, Eleni; Zygopoulou, Maria; Syriopoulou-Delli, Christine K. – International Journal of Developmental Disabilities, 2023
Children with autism spectrum disorder (ASD) show great interest in technological devices, and especially in robots. Several studies in the field have suggested that socially assistive robotics (SARs) can help children with ASD in the enhancement of their social skills and communication, and in the reduction of their stereotypical behaviors. Few…
Descriptors: Robotics, Programming, Autism Spectrum Disorders, STEM Education
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Kale, Ugur; Yuan, Jiangmei; Roy, Abhik – Computer Science Education, 2023
Background and Context: Various coding initiatives and materials exist such as those on Code.org site to promote students' computational thinking (CT). However, little is known as to: (a) whether such materials, in fact, promote CT and (b) how CT skills are related to each other. Objective: As a preliminary step to identify CT skills addressed in…
Descriptors: Thinking Skills, Computer Science Education, Programming, Problem Solving
Ana Oliveira; David Oliveira – Educational Media International, 2023
Besides the development of disciplinary skills, programming contributes to the development of abilities such as reasoning, problem solving and creativity. Therefore, it is fundamental that in the initial teachers training, programming is an integral part of the curricular unit programs of didactics. This will make it possible to contribute to the…
Descriptors: Programming, Student Attitudes, Preservice Teachers, Teaching Methods

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