Publication Date
| In 2026 | 0 |
| Since 2025 | 208 |
| Since 2022 (last 5 years) | 1122 |
| Since 2017 (last 10 years) | 2264 |
| Since 2007 (last 20 years) | 3752 |
Descriptor
| Programming | 4354 |
| Computer Science Education | 1779 |
| Foreign Countries | 1418 |
| Teaching Methods | 1125 |
| Computer Software | 1095 |
| Educational Technology | 767 |
| Student Attitudes | 684 |
| Problem Solving | 625 |
| Programming Languages | 617 |
| Thinking Skills | 590 |
| College Students | 559 |
| More ▼ | |
Source
Author
| Bers, Marina Umaschi | 21 |
| Barnes, Tiffany | 17 |
| Xinogalos, Stelios | 16 |
| Hwang, Gwo-Jen | 14 |
| Sullivan, Amanda | 14 |
| Denner, Jill | 13 |
| Brusilovsky, Peter | 11 |
| Kafai, Yasmin B. | 10 |
| Laakso, Mikko-Jussi | 10 |
| Lepp, Marina | 10 |
| Luik, Piret | 10 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 107 |
| Practitioners | 49 |
| Administrators | 17 |
| Students | 15 |
| Researchers | 13 |
| Media Staff | 9 |
| Policymakers | 6 |
| Parents | 3 |
| Community | 1 |
Location
| Turkey | 165 |
| Taiwan | 92 |
| Australia | 81 |
| China | 74 |
| United Kingdom | 59 |
| Sweden | 50 |
| Spain | 49 |
| Canada | 48 |
| Finland | 47 |
| California | 44 |
| Greece | 42 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 2 |
| Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkShindler, Michael; Pinpin, Natalia; Markovic, Mia; Reiber, Frederick; Kim, Jee Hoon; Carlos, Giles Pierre Nunez; Dogucu, Mine; Hong, Mark; Luu, Michael; Anderson, Brian; Cote, Aaron; Ferland, Matthew; Jain, Palak; LaBonte, Tyler; Mathur, Leena; Moreno, Ryan; Sakuma, Ryan – Computer Science Education, 2022
Background and Context: We replicated and expanded on previous work about how well students learn dynamic programming, a difficult topic for students in algorithms class. Their study interviewed a number of students at one university in a single term. We recruited a larger sample size of students, over several terms, in both large public and…
Descriptors: Misconceptions, Programming, Computer Science Education, Replication (Evaluation)
Fegely, Alex; Tang, Hengtao – Educational Technology Research and Development, 2022
The purpose of this convergent mixed-methods study was to evaluate the effect of educational robotics on pre-service teachers' programming comprehension and motivation. Computer science is increasingly being integrated into K-8 curricula. However, a shortage of teachers trained to teach basic computer science concepts remains unresolved. This…
Descriptors: Programming, Robotics, Preservice Teachers, Comprehension
Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
Download full textHaglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
Allbee, Quinn; Barber, Robert – Biochemistry and Molecular Biology Education, 2021
Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…
Descriptors: Genetics, Science Instruction, Programming Languages, Biology
Kuuku Nyameye Wilson; Benjamin Ghansah; Patricia Ananga; Stephen Opoku Oppong; Winston Kwamina Essibu; Einstein Kow Essibu – Education and Information Technologies, 2025
This systematic literature review examines the use of computer games as instructional aids in the teaching and learning of programming. With the ubiquitous nature of technology permeating various aspects of modern life, the integration of gaming devices into educational settings has garnered increased attention. This paper investigates whether…
Descriptors: Literature Reviews, Computer Games, Technology Uses in Education, Educational Technology
Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Wendy Haw; Adam Crawford – Journal of Learning Development in Higher Education, 2025
This article illustrates the potential for hackathons to serve as an innovative educational tool in addressing the underrepresentation of minority communities in science, technology, engineering, and mathematics (STEM) fields. Using Merced, California--a region recognised for its agricultural economy, socioeconomic disparities, and diverse…
Descriptors: Programming, Computer Science Education, Disproportionate Representation, STEM Education
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Robin Samuelsson – British Journal of Educational Technology, 2025
Programming is becoming a key subject in early education globally, with surging problems of how computer science can become a subject for children of all ages and backgrounds. Problems of implementing new technologies in the old curricula have long been noted, and lately, concern over computer science education goals is often too narrow and…
Descriptors: Computer Science Education, Play, Early Childhood Education, Technology Integration
Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems
Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Yichun Miriam Liu; Eunice Kim; Greg M. Allenby – Marketing Education Review, 2025
We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…
Descriptors: Business Schools, Computer Software, Marketing, Programming
Mária Cujdíková; Ivan Kalaš – Informatics in Education, 2025
Tables are fundamental tools for handling data and play a crucial role in developing both computational thinking (CT) and mathematical thinking (MT). Despite this, they receive limited attention in research and design. This study investigates pupils' attitudes toward and approaches to working with tables in informatics education, focusing on the…
Descriptors: Foreign Countries, Elementary School Curriculum, Programming, Computation
Pruthikrai Mahatanankoon; James R. Wolf – Journal of Information Systems Education, 2025
Advances in information and communication technologies (ICT) coupled with artificial intelligence have made computer programming skills indispensable for IT majors and for an increasing number of other science, technology, engineering, and mathematics (STEM) disciplines. Like any hands-on skill, mastering computer programming requires dedicated…
Descriptors: Measures (Individuals), Programming, Undergraduate Students, Computer Science Education
