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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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
Christine Ladwig; Dana Schwieger – Information Systems Education Journal, 2024
Hollywood screenwriters worry about Artificial Intelligence (AI) replacements taking over their jobs. Famous museums litigate to protect their art from AI infringement. A major retailer scraps a machine-learning based recruitment program that was biased against women. These are just a few examples of how AI is affecting the world of work,…
Descriptors: Computer Science Education, Curriculum Development, Information Systems, Information Science Education
Felienne Hermans – Informatics in Education, 2024
This autoethnographic paper is part of a special issue trying to answer the question "How to design or choose languages for programming novices?" I will describe how my programming language Hedy was created, how the initial design goals were formed, how my perspectives on learning and teaching changed along the way, and how Hedy changed…
Descriptors: Decision Making, Programming Languages, Novices, Computer Science Education
Zhadyra Akhatayeva; Kakim Sagindykov; Bazarbek Mukushev; Nurgul Kurmangaliyeva; Ardak Karipzhanova – Education and Information Technologies, 2024
The goal of the study is to create Visual Basic and MATHCAD apps to create programs that show the core force using physical forces as an example. The research subjects are high school teachers and students; the inherent context is high school STEM courses. Programs for computer visualization have been developed, and theoretical investigations have…
Descriptors: High School Teachers, High School Students, STEM Education, Computer Uses in Education
Educational Robotics and Preservice Teachers: STEM Problem-Solving Skills and Self-Efficacy to Teach
Kamini Jaipal-Jamani – Canadian Journal of Learning and Technology, 2024
Integrating STEM education within the elementary school science curriculum in Ontario, Canada, elevated the expectation for elementary preservice teachers to teach STEM skills such as problem-solving through coding. Research shows that educational robotics can promote STEM knowledge and skills. This mixed methods study investigates the effect of…
Descriptors: Robotics, Preservice Teachers, Technology Uses in Education, STEM Education
Ramazan Yilmaz – Interactive Learning Environments, 2024
This research, students' technology acceptance, KSB, community of inquiry (CoI), and social interaction space situations were examined in collaborative learning where Zoom was used as a CSCL tool in computer programming courses, and the structural relationships between these variables were revealed. The research was carried out on 162 university…
Descriptors: Cooperative Learning, Technology Uses in Education, Technological Literacy, Student Attitudes
Jessica Hunt; Rebekah Davis; Alejandra Duarte – International Journal of Mathematical Education in Science and Technology, 2024
The COVID-19 pandemic prompted a shift in K-12 educational delivery from primarily in-person classroom instruction to remote learning. Developing broadcast instruction is one way to provide learners who experience barriers to contemporary forms of remote learning, which are typically provided over the internet, a way to access quality mathematics…
Descriptors: Teaching Methods, Mathematics Instruction, Instructional Design, Video Technology
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
Andrzejewska, Magdalena; Kotoniak, Pawel – Informatics in Education, 2020
The article discusses the findings of longitudinal studies (three stages spanning 6 months) which were to investigate the process of acquiring the ability to comprehension program code by the computer science students having started to learn to program. The studies were conducted with the use of a knowledge measurement test, the diagnostic survey,…
Descriptors: Programming, Computer Science Education, Knowledge Level, Eye Movements
Sabarinath, Roshni; Quek, Choon Lang Gwendoline – Education and Information Technologies, 2020
Programming in schools is no longer a novel subject. It is now quite commonly found in our schools either in formal or informal curriculum. Programmers use creative learning tactics to solve problems and communicate ideas. Learning to program is generally considered challenging. Developing and implementing new methodologies in teaching programming…
Descriptors: Computer Science Education, Programming, Peer Evaluation, Coding
Partchev, Ivailo – Journal of Intelligence, 2020
We analyze a 12-item version of Raven's Standard Progressive Matrices test, traditionally scored with the sum score. We discuss some important differences between assessment in practice and psychometric modelling. We demonstrate some advanced diagnostic tools in the freely available R package, dexter. We find that the first item in the test…
Descriptors: Intelligence Tests, Scores, Psychometrics, Diagnostic Tests