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Shen, Guohua; Yang, Sien; Huang, Zhiqiu; Yu, Yaoshen; Li, Xin – Education and Information Technologies, 2023
Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…
Descriptors: Prediction, Programming, Student Characteristics, Profiles
Ezeamuzie, Ndudi O. – Education and Information Technologies, 2023
Several instructional approaches have been advanced for learning programming. However, effective ways of engaging beginners in programming in K-12 are still unclear, especially among low socioeconomic status learners in technology-deprived learning environments. Understanding the learning path of novice programmers will bridge this gap and explain…
Descriptors: Programming, Constructivism (Learning), Programming Languages, Computer Science Education
Arif Akçay; Arif Altun – Education and Information Technologies, 2024
Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could…
Descriptors: Attention, Networks, Troubleshooting, Programming
Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
Lin, Guan-Yu; Liao, Yi-Wen; Su, Zhi-Yuan; Wang, Yu-Min; Wang, Yi-Shun – Education and Information Technologies, 2023
This study attempts to: (a) investigate whether positive and negative emotions mediate the pathways linking self-efficacy for learning programming with effort and persistence in undergraduates' learning Scratch programming combining with a programmable hardware platform (i.e., Arduino), and (b) assess the effect of academic major (i.e.,…
Descriptors: Undergraduate Students, Academic Persistence, Programming, Self Efficacy
Kovari, Attila; Katona, Jozsef – Education and Information Technologies, 2023
Negative attitudes and perceptions on programming impair the effectiveness of learning programming skills. In this study the attitude related to programming, problem solving, and self-views on importance of IT/programming knowledge were assessed by pre- and post-test completed at the beginning and at the end of a software development course. The…
Descriptors: Computer Software, Programming, Self Efficacy, Problem Solving
Yuhui Jing; Chengliang Wang; Yu Chen; Haoming Wang; Teng Yu; Rustam Shadiev – Education and Information Technologies, 2024
Bibliometric mapping is widely used in educational technology research to visualize research field development (e.g. the current status and trend). However, there has been limited research examining the present state, challenges, and potential applications of bibliometric mapping techniques in the field of educational technology. In an effort to…
Descriptors: Bibliometrics, Educational Technology, Information Technology, Online Courses
Sendag, Serkan; Yakin, Ilker; Gedik, Nuray – Education and Information Technologies, 2023
Teaching programming skills has attracted a great deal of attention for more than a decade. One potential reason behind this is that the explicit teaching of computer programming can improve higher-order thinking skills, such as creativity. Moreover, whether or not creative programming learning activities, such as the use of…
Descriptors: Preservice Teachers, Information Technology, Programming, Computer Science Education
Zhang, Wei; Zeng, Xinyao; Wang, Jihan; Ming, Daoyang; Li, Panpan – Education and Information Technologies, 2022
Programming skills (PS) are indispensable abilities in the information age, but the current research on PS cultivation mainly focuses on the teaching methods and lacks the analysis of program features to explore the differences in learners' PS and guide programming learning. Therefore, the purpose of this study aims to explore horizontal…
Descriptors: Programming, Skill Development, Information Retrieval, Data Processing
Manuel B. Garcia – Education and Information Technologies, 2025
The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…
Descriptors: Programming, Introductory Courses, Computer Science Education, Mastery Learning
Çoban, Emre; Korkmaz, Özgen; Çakir, Recep; Ugur Erdogmus, Feray – Education and Information Technologies, 2020
The aim of this study is to determine the attitudes of pre-service teachers towards programming, the perceptions of self-efficacy about block-based programming and the opinions of pre-service teachers on the use of educational robots. This research is a quantitative and qualitative research conducted using a mixed research design. The study group…
Descriptors: Information Technology, Preservice Teachers, Student Attitudes, Programming