NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Does not meet standards1
Showing 1 to 15 of 399 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Peracaula-Bosch, Marta; González-Martínez, Juan – Journal of Educational Computing Research, 2024
In this article, we delve into a hermeneutic process that analyzes the term "Computational Thinking" as it was constructed through Wing's series of iterations in conceptualization attempts (2006, 2008, 2011 and 2014). On the one hand, this brings us to analyze the relations and intersections between different process of thought…
Descriptors: Hermeneutics, Computation, Thinking Skills, Algorithms
Peer reviewed Peer reviewed
Direct linkDirect link
Pelánek, Radek; Effenberger, Tomáš – ACM Transactions on Computing Education, 2023
To provide practice and assessment of computational thinking, we need specific problems students can solve. There are many such problems, but they are hard to find. Learning environments and assessments often use only specific types of problems and thus do not cover computational thinking in its whole scope. We provide an extensive catalog of…
Descriptors: Computation, Thinking Skills, Problem Solving, Learning Activities
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rino Richardo; Siti Irene Astuti Dwiningrum; Rahayu Condro Murti; Ariyadi Wijaya; Robiatul Adawiya; Ivan Luthfi Ihwani; Martalia Ardiyaningrum; Anggi Erna Aryani – Journal of Education and Learning (EduLearn), 2025
The aim of this qualitative research is to describe the thinking process as a profile of students' mathematical computational thinking (CT) skills in terms of CT attitudes. The subjects in this study were 66 junior high school students in grade IX. There were three students taken by purposive sampling based on high, medium, and low CT attitude.…
Descriptors: Computation, Thinking Skills, Junior High School Students, Grade 9
Peer reviewed Peer reviewed
Direct linkDirect link
Marcella Mandanici; Simone Spagnol – IEEE Transactions on Education, 2024
The purpose of this study is to look at how a music programming course affects the development of computational thinking in undergraduate music conservatory students. In addition to teaching the fundamentals of computational thinking, music programming, and logic, the course addresses the Four C's of education. The change in students' attitudes…
Descriptors: Music Education, Undergraduate Students, Programming, Computer Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Eunsung Park; Jongpil Cheon – Journal of Educational Computing Research, 2025
Debugging is essential for identifying and rectifying errors in programming, yet time constraints and students' trivialization of errors often hinder progress. This study examines differences in debugging challenges and strategies among students with varying computational thinking (CT) competencies using weekly coding journals from an online…
Descriptors: Undergraduate Students, Programming, Computer Software, Troubleshooting
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Václav Šimandl; Jirí Vanícek; Václav Dobiáš – Informatics in Education, 2025
Research on collaborative learning of computer science has been conducted primarily in programming. This paper extends this area by including short tasks (such as those used in contests like the Bebras Challenge) that cover many other computer science topics. The aim of this research is to explore how problem-solving in pairs differs from…
Descriptors: Cooperative Learning, Problem Solving, Computer Science, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Zengqing Wu; Huizhong Liu; Chuan Xiao – IEEE Transactions on Education, 2024
Contribution: This research illuminates information entropy's efficacy as a pivotal educational tool in programming, enabling the precise quantification of algorithmic complexity and student abstraction levels for solving problems. This approach can provide students quantitative, comparative insights into the differences between optimal and…
Descriptors: Information Theory, Student Evaluation, Thinking Skills, Algorithms
Peer reviewed Peer reviewed
Direct linkDirect link
Bhagya Munasinghe; Tim Bell; Anthony Robins – ACM Transactions on Computing Education, 2023
In learning to program and understanding how a programming language controls a computer, learners develop both insights and misconceptions whilst their mental models are gradually refined. It is important that the learner is able to distinguish the different elements and roles of a computer (compiler, interpreter, memory, etc.), which novice…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Siu-Cheung Kong; Ming Lai; Yugen Li; Tak-Yue Dickson Chan – Education and Information Technologies, 2025
Concepts and practices are widely used to assess students' development in computational thinking (CT). However, less is known about how the development of each construct relates to that of the other. With a sample of 997 grade 6 students (average age = 11.43 at the beginning of the school year) from 14 primary schools, we examined the…
Descriptors: Computation, Thinking Skills, Elementary School Students, Student Development
Peer reviewed Peer reviewed
Direct linkDirect link
Vance Kite; Soonhye Park – Journal of Research in Science Teaching, 2024
There is growing recognition in the education community that the problem-solving practices that comprise computational thinking (CT) are a fundamental component of both life and work in the twenty-first century. Historically, opportunities to learn CT have been confined to computer science (CS) and elective courses that lack racial, ethnic, and…
Descriptors: Secondary School Teachers, Science Teachers, Computation, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Fry, Kym; Makar, Katie; Hillman, Judith – Teaching Statistics: An International Journal for Teachers, 2023
Even at the primary level, computational thinking (CT) can support young students to prepare for participating in futures that are immersed in data. In mathematics classrooms, there are few explanations of the ways CT can support students in formulating and solving complex problems. This paper presents an example of a primary classroom…
Descriptors: Computation, Thinking Skills, Reading Rate, Mathematics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sergio Trilles; Aida Monfort-Muriach; Enrique Cueto-Rubio; Carmen Lopez-Girona; Carlos Granell – IEEE Transactions on Education, 2024
This article discusses the latest developments of the Sucre4Stem tool, as part of the Sucre initiative, which aims to promote interest in computational thinking and programming skills in K-12 students. The tool follows the Internet of Things approach and consists of two prominent components: 1) SucreCore and 2) SucreCode. SucreCore incorporates an…
Descriptors: Elementary Secondary Education, Thinking Skills, Problem Solving, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Qiang; Liu, Ze-xue; Wang, Peng; Wang, Jing-jing; Luo, Tian – Education and Information Technologies, 2023
Computational thinking (CT) and design thinking (DT) are critical tools for students to improve their problem-solving abilities. CT is most commonly used in science and technology fields such as computer science and mathematics, whereas DT is more commonly used in the design field. This study evaluates the impact of art programming education on…
Descriptors: College Students, Art Education, Design, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Conrad Borchers; Hendrik Fleischer; David J. Yaron; Bruce M. McLaren; Katharina Scheiter; Vincent Aleven; Sascha Schanze – Journal of Science Education and Technology, 2025
Intelligent tutoring system (ITS) provides learners with step-by-step problem-solving support through scaffolding. Most ITSs have been developed in the USA and incorporate American instructional strategies. How do non-American students perceive and use ITS with different native problem-solving strategies? The present study compares Stoich Tutor,…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Learning Strategies, Protocol Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Yeni Acosta; Ángel Alsina; Nataly Pincheira – Education and Information Technologies, 2024
This paper provides a longitudinal analysis of the understanding of repetition patterns by 24 Spanish children ages 3, 4 and 5, through representation and the type of justification. A mixed quantitative and qualitative study is conducted to establish bridges between algebraic thinking and computational thinking by teaching repetition patterns in…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, Computation
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  27