Publication Date
In 2025 | 2 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 10 |
Since 2016 (last 10 years) | 13 |
Since 2006 (last 20 years) | 14 |
Descriptor
Source
Author
Publication Type
Information Analyses | 20 |
Journal Articles | 17 |
Reports - Research | 5 |
Opinion Papers | 4 |
Reports - Descriptive | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 6 |
Higher Education | 4 |
Secondary Education | 4 |
Early Childhood Education | 3 |
Elementary Secondary Education | 3 |
Kindergarten | 3 |
Postsecondary Education | 3 |
Primary Education | 3 |
Audience
Researchers | 2 |
Location
Colombia | 1 |
Indiana | 1 |
Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yonggang Wei; Lu Wang; Yi Tang; Junyue Su; Yaxian Lei; Wanran Peng – Journal of Computer Assisted Learning, 2024
Background: The pedagogy of computational thinking has gained extensive traction across numerous nations globally, with a particular emphasis on nurturing computational thinking in the formative years of early childhood. Nevertheless, the efficacy of diverse instructional approaches in the domain of programming education, with regards to fostering…
Descriptors: Programming, Computation, Thinking Skills, Young Children
Rijo-Garcia, Sara; Segredo, Eduardo; Leon, Coromoto – IEEE Transactions on Education, 2022
Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computational thinking is defined as a method that enhances problem-solving skills, system design, and…
Descriptors: Computation, Thinking Skills, Computer Science Education, Problem Solving
Theodosios Sapounidis; Sophia Rapti; Julie Vaiopoulou – Journal of Science Education and Technology, 2025
Communication, collaboration, critical thinking, and creativity are regarded as core skills of the twenty-first century required to succeed in life and working frameworks. Meanwhile, new technologies have entered educational settings to facilitate children's development of competencies. During the last decade, several studies have been conducted…
Descriptors: Robotics, Creative Thinking, Critical Thinking, Kindergarten
Kite, Vance; Park, Soonhye; Wiebe, Eric – SAGE Open, 2021
Computational thinking (CT) is being recognized as a critical component of student success in the digital era. Many contend that integrating CT into core curricula is the surest method for providing all students with access to CT. However, the CT community lacks an agreed-upon conceptualization of CT that would facilitate this integration, and…
Descriptors: Computation, Thinking Skills, Programming, Coding
dos Santos, Simone C.; Reis, Priscila B. S.; Reis, Jacinto F. S.; Tavares, Fabio – IEEE Transactions on Education, 2021
Contribution: This article adds to the results of previous systematic mapping study by addressing a more ample context of problem-based learning (PBL) in computing education. Background: PBL is defined as an instructional method of constructivist teaching that uses real problems as a motivating element for learning. Although PBL was born in…
Descriptors: Computer Science Education, Problem Based Learning, Teaching Methods, Learner Engagement
Amos Oyelere Sunday; Friday Joseph Agbo; Jarkko Suhonen – Technology, Knowledge and Learning, 2025
The recent popularity of computational thinking (CT) and the desire to apply CT in our daily lives have prompted the need for a successful pedagogical technique for learning CT in K-12 education. The application of co-design pedagogical techniques has the potential to improve students' CT learning through knowledge sharing and the creation of…
Descriptors: Thinking Skills, Computer Science Education, Research Reports, Teaching Methods
Sun, Lihui; Guo, Zhen; Zhou, Danhua – Education and Information Technologies, 2022
In the program-driven information age, programming education is concerned by the global education system, which makes the cultivation of children's programming ability become the focus of attention. However, there is no clear definition of programming ability and teaching model. Through the snowball method, 86 studies from 1980 to 2020 were…
Descriptors: Programming, Computer Science Education, Thinking Skills, Skill Development
Francesco C. Ugolini; Panagiotis Kakavas – Research on Education and Media, 2024
This study consists of a 17-year (2006-2021) systematic literature review on the effective instructional strategies for developing Computational Thinking (CT) in primary school students (K-5). The aim of this paper is to identify instructional strategies that have been implemented and evaluated by means of a pre- and post-test, with the aim of…
Descriptors: Teaching Methods, Computer Science Education, Kindergarten, Elementary School Students
Supanee Sengsri; Kheamparit Khunratchasana – International Education Studies, 2024
Artificial intelligence (AI) technology has made a significant impact on technological progress and has been integrated into various sectors and organizations. As a result, developing a workforce with knowledge and expertise in AI has become necessary. Skilled AI professionals will play a critical role in driving economic growth and…
Descriptors: Artificial Intelligence, Digital Literacy, Competence, Skill Development
Taslibeyaz, Elif; Kursun, Engin; Karaman, Selcuk – Informatics in Education, 2020
The primary purpose of this study is to investigate CT skills development process in learning environments. It is also aimed to determine the conceptual understanding and measurement approaches in the studies. To achieve these aims, a systematic research review methodology was implemented as the research design. Empirical studies on computational…
Descriptors: Thinking Skills, Skill Development, Problem Solving, Programming
Huang, Wendy; Looi, Chee-Kit – Computer Science Education, 2021
Background and Context: Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K-12 students…
Descriptors: Computer Science Education, Programming, Thinking Skills, Skill Development
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
Watson, Sunnie Lee; Koehler, Adrie A.; Ertmer, Peggy; Kim, WooRi; Rico, Rudy – Interdisciplinary Journal of Problem-based Learning, 2018
Promoting and sustaining effective discussion--that which contributes to learning--is a skill that eludes many instructors (Darling-Hammond, 2008; Ge, Yamashiro, & Lee, 2000). This study explored the role and strategies of an expert instructor in an online advanced instructional design (ID) course that utilized a case-based learning (CBL)…
Descriptors: Instructional Design, Teaching Methods, Problem Based Learning, Interviews
Saeli, Mara; Perrenet, Jacob; Jochems, Wim M. G.; Zwaneveld, Bert – Informatics in Education, 2011
The goal of this literature study is to give some preliminary answers to the questions that aim to uncover the Pedagogical Content Knowledge (PCK) of Informatics Education, with focus on Programming. PCK has been defined as the knowledge that allows teachers to transform their knowledge of the subject into something accessible for their students.…
Descriptors: Secondary School Science, Programming, Pedagogical Content Knowledge, Literature Reviews
Scanlan, Neda S. – Computers, Reading and Language Arts, 1984
Delineates the five skill areas needed to maximize computer competency--concept formation, comprehension, problem solving, study techniques, and occupational reading and employability skills. (CRH)
Descriptors: Basic Skills, Comprehension, Computer Science, Computer Science Education
Previous Page | Next Page »
Pages: 1 | 2