Publication Date
| In 2026 | 2 |
| Since 2025 | 446 |
| Since 2022 (last 5 years) | 2034 |
| Since 2017 (last 10 years) | 4007 |
| Since 2007 (last 20 years) | 6153 |
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 | 402 |
| Researchers | 151 |
| Policymakers | 97 |
| Administrators | 71 |
| Students | 66 |
| Media Staff | 11 |
| Parents | 9 |
| Community | 6 |
| Counselors | 1 |
| Support Staff | 1 |
| More ▼ | |
Location
| Turkey | 252 |
| Australia | 167 |
| United Kingdom | 153 |
| Canada | 131 |
| China | 118 |
| Taiwan | 118 |
| California | 115 |
| United States | 96 |
| Germany | 90 |
| 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 |
Jahnke, Maximilian; Höppner, Frank – International Educational Data Mining Society, 2022
The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…
Descriptors: Programming, Coding, Computer Science Education, Error Patterns
Bende, Imre – Acta Didactica Napocensia, 2022
Understanding data structures is fundamental for mastering algorithms. In order to solve problems and tasks, students must be able to choose the most appropriate data structure in which the data is stored and that helps in the process of the solution. Of course, there is no single correct solution, but in many cases, it is an important step to…
Descriptors: Programming, Computer Science Education, Data, Visual Aids
Morales-Trujillo, Miguel Ehecatl; Galster, Matthias; Gilson, Fabian; Mathews, Moffat – IEEE Transactions on Education, 2022
Background: Peer evaluation in software engineering (SE) project courses enhances the learning experience of students. It also helps instructors monitor and assess both teams and individual students. Peer evaluations might influence the way individual students and teams work; therefore, the quality of the peer evaluations should be tracked through…
Descriptors: Undergraduate Students, Computer Software, Programming, Peer Evaluation
Gunasilan, Uma – Higher Education, Skills and Work-based Learning, 2022
Purpose: Debates are well known to encompass a variety of skills we would like higher education candidates to embody when they graduate. Design/methodology/approach: Debates in a classroom with computer science as the main subject has been popular in high schools particularly with emerging issues around the area, however it does not have as an…
Descriptors: Debate, Learning Activities, Teaching Methods, Programming
Badea, Gabriel; Popescu, Elvira – Education and Information Technologies, 2022
Peer assessment plays an important part in education, fostering involvement and critical thinking skills for the students, while reducing the grading workload for the teacher. However, research on review allocation mechanisms in the context of peer assessment is relatively scarce in the literature. Although the first electronic peer assessment…
Descriptors: Peer Evaluation, Review (Reexamination), Student Evaluation, Computer Science Education
de Jesus, Ângelo Magno; Silveira, Ismar Frango – Informatics in Education, 2022
The Computational Thinking (CT) teaching approach allows students to practice problem-solving in a way that they can use the Computer Science mindset. In this sense, Collaborative Learning has a lot to contribute to educational activities involving the CT. This article presents the design and evaluation of a Collaborative Learning framework for…
Descriptors: Cooperative Learning, Computation, Thinking Skills, Video Games
Babes-Vroman, Monica; Nguyen, Thuytien N.; Nguyen, Thu D. – ACM Transactions on Computing Education, 2022
With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we…
Descriptors: Gender Differences, Diversity, Computer Science Education, Research Universities
Sharmin, Sadia – ACM Transactions on Computing Education, 2022
Computer science is a fast-growing field in today's digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate…
Descriptors: Creativity, Computer Science Education, Literature Reviews, Introductory Courses
Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
Donado, Marjorie Fontalvo – ProQuest LLC, 2022
Universities are reflections of our societies and are tasked with educating the next generation of experts. The computer science (CS) phenomenon, with its high-paying jobs, attracts more students than ever to the CS undergraduate major. One may wonder why women are underrepresented in the CS major if they constitute half of university enrollment…
Descriptors: College Students, Females, Computer Science Education, Majors (Students)
Anette Bentz; Bernhard Standl – Discover Education, 2022
With the increasing integration of computer science into school curricula, a growing number of pupils are coming into contact with this subject. To get as many pupils as possible interested in computer science, the teaching strategies and methods must meet the heterogeneous prerequisites of the pupils. The purpose of this paper is to find out how…
Descriptors: Secondary School Students, Student Attitudes, Preferences, Computer Science Education
Dayae Yang; Theodore J. Kopcha – International Journal of Designs for Learning, 2022
Computer programming has become an essential part of K12 education, promoted as a way for students to engage in computational thinking that helps develop students' ability to analyze and solve problems and prepare them for future careers. Tabletop board games are seen as an effective means to help students learn computer programming. Several board…
Descriptors: Educational Games, Design, Programming, Computer Science Education
Troy Hawk – ProQuest LLC, 2023
The problem that was addressed in this study was underrepresented minorities' low interest in pursuing computer science as a profession. The purpose of this quantitative, quasi-experimental study was to measure underrepresented youth's attitudes toward computer science. The issue remains a pressing challenge in the U.S. This study explored the…
Descriptors: Adolescents, Preadolescents, Minority Groups, Disproportionate Representation
Incorporating Coding into the Classroom: An Important Component of Modern Bioinformatics Instruction
Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
Leonard J. Mselle – Discover Education, 2025
In this paper the "Memory Transfer Language" program visualization (MTL PV) technique is combined with "constructivism" ("conceptual contraposition and colloquy") and "reversibility" to evolve a new approach for instructional design for teaching and learning introductory programming. A sample of 1,364…
Descriptors: Introductory Courses, Computer Science Education, Constructivism (Learning), Comparative Analysis

Peer reviewed
Direct link
