NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kwon, Kyungbin; Cheon, Jongpil – International Journal of Computer Science Education in Schools, 2019
Although teachers need to assess computational thinking (CT) for computer science education in K-12, it is not easy for them to evaluate students' programs based on the perspective. The purpose of this study was to investigate students' CT skills reflected in their Scratch programs. The context of the study was a middle school coding club where…
Descriptors: Computer Science Education, Computation, Thinking Skills, Coding
Peer reviewed Peer reviewed
PDF on ERIC Download full text
How, Meng-Leong; Looi, Chee-Kit – International Journal of Computer Science Education in Schools, 2018
Computational Thinking (CT) is pervasive in our daily lives and is useful for problem-solving. Decision-making is a crucial part of problem-solving. In the extant literature, problem-solving strategies in educational settings are often conveniently attributed to intuition; however, it is well documented that computer programmers might even have…
Descriptors: Mathematics Instruction, Equations (Mathematics), Scaffolding (Teaching Technique), Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2017
Understanding the students' programming misconceptions is critical in that it identifies the reasons why students make errors in programming and allows instructors to design instructions accordingly. This study investigated the mental models of programming concepts held by pre-service teachers who were novice programmers. In an introductory…
Descriptors: Programming, Novices, Misconceptions, Instructional Design