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Mehmet Arif Demirta¸; Max Fowler; Kathryn Cunningham – International Educational Data Mining Society, 2024
Analyzing which skills students develop in introductory programming education is an important question for the computer science education community. These key skills and concepts have been formalized as knowledge components, which are units of knowledge that can be measured by performance on a set of tasks. While knowledge components in other…
Descriptors: Programming, Computer Science Education, Skill Development, Knowledge Level
Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
Boxuan Ma; Li Chen; Shin’ichi Konomi – International Association for Development of the Information Society, 2024
Generative artificial intelligence (AI) tools like ChatGPT are becoming increasingly common in educational settings, especially in programming education. However, the impact of these tools on the learning process, student performance, and best practices for their integration remains underexplored. This study examines student experiences and…
Descriptors: Artificial Intelligence, Computer Science Education, Programming, Computer Uses in Education
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
Shumway, Jessica F.; Welch, Lise E.; Kozlowski, Joseph S.; Clarke-Midura, Jody; Lee, Victor R. – Mathematical Thinking and Learning: An International Journal, 2023
The purpose of this study was to explore how kindergarten students (aged 5-6 years) engaged with mathematics as they learned programming with robot coding toys. We video-recorded 16 teaching sessions of kindergarten students' (N = 36) mathematical and programming activities. Students worked in small groups (4-5 students) with robot coding toys on…
Descriptors: Kindergarten, Preschool Children, Mathematics Education, Knowledge Level
Ergin, Aysegül Zeynep; Ercan, Zülfiye Gül – International Journal of Curriculum and Instruction, 2022
Computer science works as hardware and software increasingly takes place in each of our daily lives with effective products and services. As in all areas, it is an inevitable part of learning and teaching computer-based environment-tools and equipment in the fate and type of education, including early childhood. Computer science products may…
Descriptors: Programming, Preschool Teachers, Preservice Teachers, Computer Science Education
Zhao, Dan; Muntean, Cristina Hava; Chis, Adriana E.; Rozinaj, Gregor; Muntean, Gabriel-Miro – IEEE Transactions on Education, 2022
Contributions: This article presents a large-scale study which investigates students' reaction to game-based learning as part of programming courses. The study focuses on knowledge acquisition, learner experience, and game usability. Background: Despite the rapid growth of the information and communication technologies (ICTs) sector, the lack of…
Descriptors: Game Based Learning, Student Experience, Knowledge Level, College Students
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
Shmallo, Ronit; Ragonis, Noa – Education and Information Technologies, 2021
The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…
Descriptors: Computer Science Education, Programming, High School Students, College Students
Holo, O. E.; Kveim, E. N.; Lysne, M. S.; Taraldsen, L. H.; Haara, F. O. – Education Inquiry, 2023
This review article focuses on the teaching of computer programming in primary school mathematics, as reported by 37 empirical studies. Our findings show that a variety of research methods are used, which often combine qualitative and quantitative approaches. Furthermore, we found the focus of attention to vary from emphasis on the teacher and the…
Descriptors: Literature Reviews, Computer Science Education, Programming, Elementary School Mathematics
Özdinç, Fatih; Kaya, Gökhan; Mumcu, Filiz; Yildiz, Bahadir – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
STEM and computer science (CS) education are some of the most important research topics of the last decade. The idea that CS should be a part of STEM is becoming more and more common. The most important goals of integrating CS into STEM are to develop students' computational thinking (CT) and problem-solving skills. STEM education creates a…
Descriptors: Teachers, STEM Education, Computer Science Education, Integrated Activities
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
Pakpour, Nazzy; Nouredini, Sahar; Tandon, James – IEEE Transactions on Education, 2022
Contribution: Although engineering hackathon events are common, this is one of the first reports of such an event used for the purpose of teaching engineering students about public health concepts. Results from this study suggest that hackathons are an effective format for teaching topics that are not core to the engineering discipline in a short…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Programming
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

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