Publication Date
In 2025 | 0 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 10 |
Since 2016 (last 10 years) | 22 |
Since 2006 (last 20 years) | 37 |
Descriptor
Source
Author
Armoni, Michal | 2 |
Hazzan, Orit | 2 |
Ragonis, Noa | 2 |
Aanstoos, Christopher M. | 1 |
Aggarwal, Vaibhav | 1 |
Alexandron, Giora | 1 |
Anderson, John R. | 1 |
Asanok, Manit | 1 |
Atherton, T. J. | 1 |
Bacon, Liz | 1 |
Baidrakhmanova, Gulnaz | 1 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 4 |
Practitioners | 2 |
Administrators | 1 |
Teachers | 1 |
Location
Brazil | 4 |
Australia | 3 |
China | 2 |
Florida | 2 |
Germany | 2 |
Hawaii | 2 |
Israel | 2 |
Kazakhstan | 2 |
Philippines | 2 |
Thailand | 2 |
Uruguay | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Matching Familiar Figures Test | 1 |
NEO Five Factor Inventory | 1 |
Rosenberg Self Esteem Scale | 1 |
What Works Clearinghouse Rating
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
Zhang, Yingbin; Pinto, Juan D.; Fan, Aysa Xuemo; Paquette, Luc – Journal of Educational Data Mining, 2023
The second CSEDM data challenge aimed at finding innovative methods to use students' programming traces to model their learning. The main challenge of this task is how to decide which past problems are relevant for predicting performance on a future problem. This paper proposes a set of weighting schemes to address this challenge. Specifically,…
Descriptors: Problem Solving, Introductory Courses, Computer Science Education, Programming
Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
Priemer, Burkhard; Eilerts, Katja; Filler, Andreas; Pinkwart, Niels; Rösken-Winter, Bettina; Tiemann, Rüdiger; Zu Belzen, Annette Upmeier – Research in Science & Technological Education, 2020
Background: Recent developments in STEM and computer science education put a strong emphasis on twenty-first-century skills, such as solving authentic problems. These skills typically transcend single disciplines. Thus, problem-solving must be seen as a multidisciplinary challenge, and the corresponding practices and processes need to be described…
Descriptors: Problem Solving, STEM Education, Computer Science Education, Inquiry
Nabor C. Mendonça – ACM Transactions on Computing Education, 2024
The recent integration of visual capabilities into Large Language Models (LLMs) has the potential to play a pivotal role in science and technology education, where visual elements such as diagrams, charts, and tables are commonly used to improve the learning experience. This study investigates the performance of ChatGPT-4 Vision, OpenAI's most…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Foreign Countries
Phillips, A. M.; Gouvea, E. J.; Gravel, B. E.; Beachemin, P. -H.; Atherton, T. J. – Physical Review Physics Education Research, 2023
Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…
Descriptors: Physics, Science Instruction, Teaching Methods, Models
Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
Palts, Tauno; Pedaste, Margus – Informatics in Education, 2020
Computer science concepts have an important part in other subjects and thinking computationally is being recognized as an important skill for everyone, which leads to the increasing interest in developing computational thinking (CT) as early as at the comprehensive school level. Therefore, research is needed to have a common understanding of CT…
Descriptors: Models, Skill Development, Computation, Thinking Skills
Rashkovits, Rami; Lavy, Ilana – International Journal of Information and Communication Technology Education, 2020
The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…
Descriptors: Models, Data, Undergraduate Students, Computer Science Education
Kostousov, Sergei A.; Simonova, Irina V. – International Association for Development of the Information Society, 2019
The purpose of the article is to identify conditions for the effective use of visual modeling tools that can help reduce the difficulty level of solving problems during the teaching high school students programming. Visual modeling tools are a type of software that allows you to create visual abstractions that reproduce concepts and objects of the…
Descriptors: Visual Aids, Models, Problem Solving, Computer Science Education
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Emara, Mona; Hutchins, Nicole M.; Grover, Shuchi; Snyder, Caitlin; Biswas, Gautam – Journal of Learning Analytics, 2021
The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively…
Descriptors: Cooperative Learning, Self Management, Metacognition, Computer Science Education
Li, Ken W. – Journal of Pedagogical Research, 2022
There has been much attention given to the use of technology in education; mostly concentrating on physical artifacts of technology to facilitate teaching delivery but little mentioning technology as a cultural resource to organize the learning environment promoting social interaction among students and between teacher and students. This paper…
Descriptors: Technology Integration, Statistics Education, Teaching Methods, Technology Uses in Education