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Abou Naaj, Mahmoud; Nachouki, Mirna – Journal of Further and Higher Education, 2023
Plagiarism in programming assignments is a common and current challenge. However, insufficient studies have examined plagiarism in the Middle East region. Thus, this research surveyed 422 students from a middle eastern university. It primarily purported to assess the students' perception of plagiarism in writing programming assignments.…
Descriptors: Ethics, Student Behavior, Programming, Plagiarism
Tasdöndüren, Tuba; Korucu, Agah Tugrul – Journal of Learning and Teaching in Digital Age, 2022
The aim of this study is to examine middle school students' perceptions of information technology self-efficacy and their attitudes towards coding according to various variables and to determine the difference between secondary school students' perceptions of information technology self-efficacy and their attitudes towards coding. The study was…
Descriptors: Student Attitudes, Computer Attitudes, Self Efficacy, Programming
Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
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
Erkan Er; Gökhan Akçapinar; Alper Bayazit; Omid Noroozi; Seyyed Kazem Banihashem – British Journal of Educational Technology, 2025
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI-generated feedback in a Java programming course through an…
Descriptors: Student Evaluation, Student Attitudes, Feedback (Response), Artificial Intelligence
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Shu-Jie Chen; Xiaofen Shan; Ze-Min Liu; Chuang-Qi Chen – Educational Technology & Society, 2025
The introduction of programming education in K-12 schools to promote computational thinking has attracted a great deal of attention from scholars and educators. Debugging code is a central skill for students, but is also a considerable challenge when learning to program. Learners at the K-12 level often lack confidence in programming debugging due…
Descriptors: Programming, Coding, Elementary School Students, Secondary School Students
Chenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
Xuemin Gao; Yuqin Yang; Yuxia Du; Daner Sun – Journal of Educational Computing Research, 2025
Block-based visual programming tools are widely used in elementary education. Nonetheless, these tools alone may not ensure the spontaneous and efficient acquisition of concepts and skills in computational thinking (CT). Using mind mapping as a form of scaffolding to facilitate the visualization of abstract thinking processes may enhance the…
Descriptors: Computation, Thinking Skills, Programming, Cognitive Mapping
Teng Ma; Ahmad Samed Al-Adwan; Na Li; Erick Purwanto; Wan Meng; Hai-Ning Liang – IEEE Transactions on Education, 2025
Contribution: This study has proposed a hybrid framework of acceptance and self-determination for the use of digital textbooks in higher education programming courses. The intertwined relationships between acceptance and self-determination factors, and their joint effects on student's engagement and learning performance are all examined.…
Descriptors: Textbooks, Electronic Publishing, College Students, Programming
Darmawansah, Darmawansah; Hwang, Gwo-Jen; Chen, Mei-Rong Alice; Liang, Jia-Cing – International Journal of STEM Education, 2023
Fostering students' competence in applying interdisciplinary knowledge to solve problems has been recognized as an important and challenging issue globally. This is why STEM (Science, Technology, Engineering, Mathematics) education has been emphasized at all levels in schools. Meanwhile, the use of robotics has played an important role in STEM…
Descriptors: STEM Education, Robotics, Elementary Secondary Education, Educational Research
Yesengazyevna, Sagimbayeva Ainur; Niyetbayeva, Nadira; Tassuov, Bolat; Kalima, Tuyenbayeva; Bekbulatovna, Arystanova Assel – Cypriot Journal of Educational Sciences, 2022
The purpose of this research is to get students' opinions on teaching programming to students with the help of educational games in the conditions of additional education in computer science. In order to carry out the study in accordance with the main purpose, the phenomenological approach, one of the qualitative research methods, was used. The…
Descriptors: Computer Science Education, Educational Games, College Students, Student Attitudes
Olipas, Cris Norman – Online Submission, 2022
This study aims to identify the experiences of information technology (IT) students in learning computer programming. Specifically, the feelings towards learning programming and the challenges and difficulties encountered by IT students were determined. The researcher used a phenomenological approach to determine the commonality of lived…
Descriptors: Information Technology, Programming, Computer Science Education, Student Attitudes
Xinli Zhang; Yuchen Chen; Danqing Li; Lailin Hu; Gwo-Jen Hwang; Yun-Fang Tu – Journal of Educational Computing Research, 2024
Robotics education has received widespread attention in K-12 education. Studies have pointed out that in robotics courses, learners face challenges in learning abstract content, such as constructing a robot with a good structure and writing programs to drive a robot to complete specific learning tasks. The present study proposed the embodied…
Descriptors: Robotics, Teaching Methods, Academic Achievement, Student Motivation

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