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Liu, Bing; Xu, Liping; Luo, Xiaobing; Lu, Shui-lin – International Journal of Information and Communication Technology Education, 2023
Exploring the relationship between teacher support and students' learning engagement in high school information technology courses can help improve students' learning ability. The researchers took 246 high school students from a city in China as the research subjects and used structural equation modeling to explore the relationship between teacher…
Descriptors: Foreign Countries, High School Students, Information Technology, Self Efficacy
Liu, Jun; Li, Qingyue; Sun, Xue; Zhu, Ziqi; Xu, Yanhua – Asia Pacific Journal of Education, 2023
Programming self-efficacy plays an important role in promoting interest in programming education among teenagers. Therefore, the purpose of this study was to examine to what extent family socioeconomic status, programming learning, programming teaching, and gender influence programming self-efficacy. A total of 851 upper-secondary-school students…
Descriptors: Programming, Computer Science Education, Self Efficacy, Foreign Countries
Fis Erümit, Semra; Keles, Esra – Journal of Educational Technology and Online Learning, 2023
In this study, the Computer Science (CS) education in K-12 of the countries in the "Asia-Pacific region", which are among the top 10 in PISA, and CS education of Türkiye were investigated. PISA is conducted to assess science, mathematics, and reading skills. PISA, which is carried out every 3 years by the OECD, evaluates 15-yearold…
Descriptors: Foreign Countries, Pacific Islanders, School Effectiveness, Secondary School Students
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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
Mapping Network Structure and Diversity of Interdisciplinary Knowledge in Recommended MOOC Offerings
Zhang, Jingjing; Yang, Yehong; Barbera, Elena; Lu, Yu – International Review of Research in Open and Distributed Learning, 2022
In massive open online courses (MOOCs), recommendation relationships present a collection of associations that imply a new form of integration, such as an interdisciplinary synergy among diverse disciplines. This study took a computer science approach, using the susceptible-infected (SI) model to simulate the process of learners accessing courses…
Descriptors: Network Analysis, Interdisciplinary Approach, MOOCs, Electronic Learning
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
Na Li; Erick Purwanto; Xiaojun Zhang; Feng Cao; Kok Hoe Wong; Xiangru Chen – Interactive Learning Environments, 2024
To address the problem of poor efficacy in hybrid learning in higher education, this study conducted a mix-method explanatory case study with structural equation modelling to examine a new construct, "perceived pedagogical value" (PPV), and its relationship with the core constructs of the Unified Theory of Acceptance and Use of…
Descriptors: Educational Benefits, Interaction, Blended Learning, College Students
Li, Xing; Xie, Kui; Vongkulluksn, Vanessa; Stein, David; Zhang, Yi – Journal of Research on Technology in Education, 2023
Computational Thinking (CT) is regarded as a crucial competency for all children in the 21st century. There are misconceptions about CT which confounds CT skills with programming skills. However, CT skills and programming skills are not the same. CT is a broader skillset of cognitive thinking that is integral to complex problem solving. Teaching…
Descriptors: Elementary School Students, Computation, Thinking Skills, Self Concept
Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
Jiachu Ye; Xiaoyan Lai; Gary Ka Wai Wong; Nantian He – Educational Technology & Society, 2024
Computational thinking (CT) has attracted global research attention. However, the relationship between CT education and later aspirations in computing careers was less explored, and less attention was paid to understanding the intermediary role of computational identity. Based on social cognitive career theory, this study examined the…
Descriptors: Programming, Self Concept, Computer Science Education, Student Attitudes
Wanjun Chen; Prasert Ruannakarn – Higher Education Studies, 2024
CIPP, as a decision-oriented new model of curriculum evaluation, is suitable for the evaluation needs of information-based physical education courses. The evaluation of teaching in information-based physical education courses based on the CIPP model is divided into four categories: context evaluation, input evaluation, process evaluation, and…
Descriptors: Information Technology, Technology Integration, Physical Education, Course Evaluation
Hou, Haoxiang; Zhang, Xianyi; Wang, Dan – Best Evidence in Chinese Education, 2022
Cultivating innovative talents has become a critical strategy for building China into a strong country in science and technology. Catering to the trend of educational reform in the intelligent era, the use of robotics in developing student creativity proves to be of greater practical value. The findings of this study are that: first, the overall…
Descriptors: Teaching Methods, Meta Analysis, Robotics, Creativity
Zhan, Zehui; He, Wenchang; Yi, Xitian; Ma, Shuyao – Journal of Educational Computing Research, 2022
This paper examined the effect of the Unplugged Programming Teaching Aids (UPTA) on students' computational thinking and classroom interaction. A set of UPTA was created and used in a primary school in southern China. A total of 48 students aged 6-8 were assigned to two classes, with the same instructor and learning materials, but only the…
Descriptors: Foreign Countries, Programming, Computation, Thinking Skills
Wu, Longkai; Looi, Chee-Kit; Multisilta, Jari; How, Meng-Leong; Choi, Hyungshin; Hsu, Ting-Chia; Tuomi, Pauliina – Asia-Pacific Education Researcher, 2020
Many education systems have recognized the importance of computational thinking and coding skills and are implementing curricular changes to introduce coding into formal school education. A necessary and critical success factor involves the preparation of and support for teachers to teach coding. Thus, understanding the perceptions of teachers…
Descriptors: Foreign Countries, Coding, Computer Science Education, Computation