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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
Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
Andrzejewska, Magdalena; Kotoniak, Pawel – Informatics in Education, 2020
The article discusses the findings of longitudinal studies (three stages spanning 6 months) which were to investigate the process of acquiring the ability to comprehension program code by the computer science students having started to learn to program. The studies were conducted with the use of a knowledge measurement test, the diagnostic survey,…
Descriptors: Programming, Computer Science Education, Knowledge Level, Eye Movements
Margulieux, Lauren E.; Morrison, Brian B.; Franke, Baker; Ramilison, Harivololona – ACM Transactions on Computing Education, 2020
The subgoal learning framework has improved performance for novice programmers in higher education, but it has only started to be applied and studied in K-12 (primary/secondary). Programming education in K-12 is growing, and many international initiatives are attempting to increase participation, including curricular initiatives like Computer…
Descriptors: Programming, Computer Science Education, Elementary Secondary Education, Coding
Keunjae Kim; Kyungbin Kwon – Journal of Educational Computing Research, 2024
This study presents an inclusive K-12 AI curriculum for elementary schools, focusing on six design principles to address gender disparities. The curriculum, designed by the researchers and an elementary teacher, uses tangible tools, and emphasizes collaboration in solving daily problems. The MANOVA results revealed initial gender differences in AI…
Descriptors: Artificial Intelligence, Curriculum Development, Inclusion, Elementary Secondary Education
Rashkovits, Rami; Lavy, Ilana – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Multi-threaded software design is considered to be difficult, especially to novice programmers. In this study, we explored how students cope with a task that its solution requires a multi-threaded architecture to achieve optimal runtime. Background: An efficient exploit of multicore processors architecture requires computer programs…
Descriptors: Computer Software, Novices, Programming, Difficulty Level
Chamidy, Totok; Degeng, I. Nyoman Sudana; Ulfa, Saida – Online Submission, 2020
This study aims to examine the effect of problem-based learning and tacit knowledge on problem-solving skills when students study in the laboratory. The method employed in this research was Quasi-Experimental Design. Data collection techniques were questionnaires and tests. Seventy-seven students were taken as the research participant and divide…
Descriptors: Problem Based Learning, Instructional Effectiveness, Knowledge Level, Problem Solving
Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
Huo, Rongrong – European Journal of Science and Mathematics Education, 2023
In our investigation of university students' knowledge about real numbers in relation to computer algebra systems (CAS) and how it could be developed in view of their future activity as teachers, we used a computer algorithm as a case to explore the relationship between CAS and the knowledge of real numbers as decimal representations. Our work was…
Descriptors: Numbers, Computer Science Education, Knowledge Level, Algorithms
Kiliç, Servet; Gökoglu, Seyfullah; Öztürk, Mücahit – Journal of Educational Computing Research, 2021
In this research, a scale was developed to determine the programming-oriented computational thinking skills of university students. The participants were 360 students studying in various departments at different universities in Turkey for computer programming. The scale consists of 33 items under conceptual knowledge, algorithmic thinking, and…
Descriptors: Test Validity, Test Reliability, Test Construction, Programming
Denner, Jill; Campe, Shannon; Werner, Linda – ACM Transactions on Computing Education, 2019
It is widely believed that there are educational benefits to making computer games, but there is no systematic review of research on this topic. This article describes a meta-synthesis of research on children designing and programming computer games that investigates the extent to which there is evidence of benefits for computer science learning…
Descriptors: Computer Games, Design, Programming, Children
Nagy, Tímea; Csernoch, Mária; Biró, Piroska – Education Sciences, 2021
Previous research proved that teaching spreadsheeting from a programming perspective is much more effective than the widely accepted tool-centered surface approach methods. Spreadsheeting as an introductory programming approach allows students to build up schemata leading to contextualized, concept-based problem-solving. Furthermore, it provides…
Descriptors: Self Evaluation (Individuals), Self Efficacy, Gender Differences, Programming
Piedade, João; Dorotea, Nuno; Pedro, Ana; Matos, João Filipe – Education Sciences, 2020
This study aims to analyze how pre-service informatics teachers design learning scenarios with robotics to teach programming fundamentals and to promote computational thinking skills. A descriptive and exploratory case study design was implemented with 26 pre-service informatics teachers. Data were collected from the participants using qualitative…
Descriptors: Programming, Computer Science Education, Thinking Skills, Robotics
Exter, Marisa; Caskurlu, Secil; Fernandez, Todd – ACM Transactions on Computing Education, 2018
This article discusses the findings of a survey of nearly 300 computing professionals who are involved in the design and/or development of software across a variety of industries. We report on the surveyed professionals' perceptions of the importance of a range of topics and skills, and the degree to which 55 recent graduates felt that each topic…
Descriptors: Professional Personnel, Employee Attitudes, Knowledge Level, Skill Analysis
Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
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