Publication Date
| In 2026 | 0 |
| Since 2025 | 416 |
| Since 2022 (last 5 years) | 2001 |
| Since 2017 (last 10 years) | 3974 |
| Since 2007 (last 20 years) | 6120 |
Descriptor
Source
Author
| Barnes, Tiffany | 22 |
| Armoni, Michal | 18 |
| Yadav, Aman | 17 |
| Gal-Ezer, Judith | 16 |
| Malmi, Lauri | 15 |
| Xinogalos, Stelios | 15 |
| Soh, Leen-Kiat | 14 |
| Frydenberg, Mark | 13 |
| Hazzan, Orit | 13 |
| Kafai, Yasmin B. | 13 |
| Howe, Richard D. | 12 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 724 |
| Teachers | 400 |
| Researchers | 151 |
| Policymakers | 96 |
| Administrators | 71 |
| Students | 66 |
| Media Staff | 11 |
| Parents | 9 |
| Community | 6 |
| Counselors | 1 |
| Support Staff | 1 |
| More ▼ | |
Location
| Turkey | 251 |
| Australia | 167 |
| United Kingdom | 153 |
| Canada | 130 |
| China | 118 |
| Taiwan | 118 |
| California | 114 |
| United States | 96 |
| Germany | 88 |
| Spain | 81 |
| Finland | 78 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 1 |
Molly Domino; Bob Edmison; Stephen H. Edwards; Rifat Sabbir Mansur; Alexandra Thompson; Clifford A. Shaffer – Computer Science Education, 2025
Background and Context: Self-regulated learning (SRL) skills are critical aspect of learning to program and are predictive of academic success. Early college students often struggle to use these skills, but can improve when given targeted instruction. However, it is not yet clear what skills are best to prioritize. Objective: We seek to create a…
Descriptors: Metacognition, Programming, Computer Science Education, College Students
Anna Rechtácková; Radek Pelánek; Tomáš Effenberger – ACM Transactions on Computing Education, 2025
Code quality is a critical aspect of programming, as high-quality code is easier to maintain, and code maintenance constitutes the majority of software costs. Consequently, code quality should be emphasized in programming education. While previous research has identified numerous code quality defects commonly made by students, the current state…
Descriptors: Programming, Computer Science Education, Error Patterns, Automation
El-Hamamsy, Laila; Bruno, Barbara; Avry, Sunny; Chessel-Lazzarotto, Frédérique; Dehler Zufferey, Jessica; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: With the introduction of Computer Science (CS) into curricula worldwide, teachers' adoption of CS pedagogical content is essential to ensure the long-term success of reform initiatives. Continuing Professional Development (CPD) programs play a key role in this process. Unfortunately, adoption is seldom evaluated in CS-CPDs or CPDs in…
Descriptors: Elementary School Teachers, Computer Science Education, Computer Science, Adoption (Ideas)
Farjudian, Amin – IEEE Transactions on Education, 2023
Contribution: Using threshold concepts as the framework for curriculum design, a project on neural network methods for solving differential equations is presented, with a rich set of transformative concepts from mathematics and computer science. Projects of this kind complement a typical curriculum with expertise that is crucial for critique and…
Descriptors: Mathematics Education, Computer Science Education, Concept Formation, Curriculum Development
Jessica Yauney; Scott R. Bartholomew; Peter Rich – Computer Science Education, 2023
Background and Context: Hour of Code is one of the largest educational campaigns implemented. It exposes millions of learners, to an hour of computer science fundamentals. With such a large impact, a large number of research articles have been published on the topic. This research ranges from reports of experiments testing the efficacy of Hour of…
Descriptors: Computer Science Education, Mass Instruction, Instructional Effectiveness, Educational Research
Cheryl Resch – ProQuest LLC, 2024
Software vulnerabilities in commercial products are an issue of national importance. The most prevalent breaches are input validation vulnerabilities, and these are easily avoidable. This dissertation contributes to cybersecurity education with a set of hands-on interventions tailored for three CS courses, a set of reflection prompts to encourage…
Descriptors: College Students, Computer Science Education, Computer Security, Curriculum Development
Joel S. Steele; Kevin J. Grimm – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Structural Equation Modeling (SEM) continues to grow in popularity with numerous articles, books, courses, and workshops available to help researchers become proficient with SEM quickly. However, few resources are available to help users gain a deep understanding of the analytic steps involved in SEM, with even fewer providing reproducible syntax…
Descriptors: Structural Equation Models, Programming, Orthographic Symbols, Syntax
Tobias Kohn; Jacqueline Staub – Informatics in Education, 2024
The choice of programming language for education is an intensely debated topic. On the one hand, the programming language is supposed to be "relevant" in that its organisation, structures, and paradigms adhere to current standards and best practices in industry and academia. On the other hand, the programming language is expected to be…
Descriptors: Computer Science Education, Programming, Data Processing, Philosophy
Jennifer M. Blaney; Theresa E. Hernandez; David F. Feldon; Annie M. Wofford – Community College Review, 2025
Research Questions: While community college transfer (i.e., upward transfer) represents an important mechanism for advancing equity across STEM fields, existing studies of gender and women's participation within computer science have largely excluded the perspectives of upward transfer students. We address this gap in the literature by exploring…
Descriptors: Transfer Students, STEM Education, Gender Differences, Computer Science Education
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Athitaya Nitchot; Lester Gilbert – Education and Information Technologies, 2025
Learning programming is a complex process that requires understanding abstract concepts and solving problems efficiently. To support and motivate students, educators can use technology-enhanced learning (TEL) in the form of visual tools for knowledge mapping. Mytelemap, a prototype tool, uses TEL to organize and visualize information, enhancing…
Descriptors: Learning Motivation, Concept Mapping, Programming, Computer Science Education
Rajagopal Sankaranarayanan; Mohan Yang; Kyungbin Kwon – Journal of Computing in Higher Education, 2025
The purpose of this study is to explore the influence of the microlearning instructional approach in an online introductory database programming classroom. The ultimate goal of this study is to inform educators and instructional designers on the design and development of microlearning content that maximizes student learning. Grounded within the…
Descriptors: Teaching Methods, Introductory Courses, Databases, Programming
Danielle Lottridge; Davis Dimalen; Gerald Weber – ACM Transactions on Computing Education, 2025
Automated assessment is well-established within computer science courses but largely absent from human--computer interaction courses. Automating the assessment of human--computer interaction (HCI) is challenging because the coursework tends not to be computational but rather highly creative, such as designing and implementing interactive…
Descriptors: Computer Science Education, Computer Assisted Testing, Automation, Man Machine Systems
Ville Isomöttönen; Antti Jussi Lakanen; Elina Valkonen – ACM Transactions on Computing Education, 2025
Identity has received ample attention in computing education research from the viewpoint of "computing identity" and broadening participation, while more attention has been called for to clarify its role. We looked into identity development in the context of Computer Science 1 (CS1) based on Marcia's identity statuses and subsequent…
Descriptors: Computer Science Education, Self Concept, Self Efficacy, College Students
Jiaci Lin; Qijiang Shu; Rong Chen; Chunlin Gao; Kaiqing Xu; Keli Yin; Fuhua Yang – International Journal of Technology and Design Education, 2025
Computational thinking (CT) is an essential component of critical skills for university students, representing the ability to analyze and solve problems. In accordance with constructivist learning theory and the core elements of cultivating CT, this research has developed a Project-Based Teaching approach with computational thinking as its focal…
Descriptors: Computation, Thinking Skills, College Students, Active Learning

Peer reviewed
Direct link
