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Yu-Sheng Su; Shuwen Wang; Xiaohong Liu – Journal of Educational Computing Research, 2024
Pair programming (PP) can help improve students' computational thinking (CT), but the trajectory of CT skills and the differences between high-scoring and low-scoring students in PP are unknown and need further exploration. In this study, a total of 32 fifth graders worked on Scratch tasks in 16 pairs. The group discourse of three learning topics…
Descriptors: Epistemology, Network Analysis, Elementary School Students, Computation
Hanrui Gao; Yi Zhang; Gwo-Jen Hwang; Sunan Zhao; Ying Wang; Kang Wang – Education and Information Technologies, 2024
Artificial Intelligence (AI) education in primary schools has received a great deal of attention globally, and it is thus important to investigate primary school students' perceptions and understanding of AI learning. Therefore, in this study, 673 drawings of conceptions of AI learning by third to sixth grade students were collected. Firstly, a…
Descriptors: Elementary School Students, Student Attitudes, Artificial Intelligence, Freehand Drawing
Vandenberg, Jessica; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – Computer Science Education, 2023
Background and Context: Students' self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students' initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning…
Descriptors: Elementary School Students, Cooperative Learning, Programming, Network Analysis
Yuchen Chen; Yun-Fang Tu; Xinli Zhang; Gwo-Jen Hwang – Educational Technology & Society, 2024
As technology-enhanced children's learning has gained wide attention, programmable robots have been gradually introduced in early childhood education. Hence, it would be valuable to understand how young children perceive robot programming learning. Draw-a-picture technique is an ideal method to elicit ideas, thoughts, and feelings for children…
Descriptors: Robotics, Computer Science Education, Gender Differences, Freehand Drawing
Zhang, Jingjing; Huang, Yicheng; Gao, Ming – Journal of Learning Analytics, 2022
Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible…
Descriptors: Network Analysis, Video Technology, MOOCs, Attention Control
Kale, Ugur; Yuan, Jiangmei; Roy, Abhik – Computer Science Education, 2023
Background and Context: Various coding initiatives and materials exist such as those on Code.org site to promote students' computational thinking (CT). However, little is known as to: (a) whether such materials, in fact, promote CT and (b) how CT skills are related to each other. Objective: As a preliminary step to identify CT skills addressed in…
Descriptors: Thinking Skills, Computer Science Education, Programming, Problem Solving
Chugh, Ritesh; Turnbull, Darren – Contemporary Educational Technology, 2023
Gaming is becoming a popular method of engaging students in learning processes across all levels of the educational community. The effective integration of gaming activities into course curricula has the potential to enhance student learning, motivation, and knowledge acquisition in a range of disciplines. However, gamification of education is not…
Descriptors: Gamification, Citation Analysis, Network Analysis, Bibliometrics
Ngan, Shing-Chung; Law, Kris M. Y. – Asia-Pacific Education Researcher, 2015
Educating our future engineers so that they can gain high proficiency in computational thinking is essential for their career prospects. As educators, acquiring a good understanding of the various learning motivation factors/tools as well as their inter-relationships is a significant step forward in achieving this goal. In this article, we…
Descriptors: Network Analysis, Learning Motivation, Electronic Learning, Computer Science Education
Bodin, Madelen – Physical Review Special Topics - Physics Education Research, 2012
Solving physics problem in university physics education using a computational approach requires knowledge and skills in several domains, for example, physics, mathematics, programming, and modeling. These competences are in turn related to students' beliefs about the domains as well as about learning. These knowledge and beliefs components are…
Descriptors: Network Analysis, Physics, Programming, College Science

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