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Jiali Zheng; Melissa Duffy; Ge Zhu – Discover Education, 2024
Students in technology majors such as Computer Science and Information Technology need to take a series of computer programming courses to graduate. Yet, not all students will persist in taking programming courses as required, and little is known about the factors influencing their enrollment intentions. Research is needed to better understand…
Descriptors: Computer Science Education, Programming, Predictor Variables, Enrollment
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Lihui Sun; Danhua Zhou – Journal of Computer Assisted Learning, 2024
Background: Integrating programming in K-12 curriculum has become a global consensus. Teachers are central figures in programming instruction. But the majority of current research focuses on teachers' external teaching behaviours and less on teachers' attitudes towards programming. Objectives: The purpose of this study is to validate the K-12…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Attitudes
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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
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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
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Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills
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Liu, Ou Lydia; Shaw, Amy; Gu, Lin; Li, Guirong; Hu, Shangfeng; Yu, Ningning; Ma, Liping; Xu, Changqing; Guo, Fei; Su, Qi; Kardanovaj, Elena; Chirikov, Igor; Shi, Jinghuan; Shi, Zhaolei; Wang, Huan; Loyalka, Prashant – Higher Education Research and Development, 2018
Assessing student learning outcomes has become a global trend in higher education. In this paper, we report on the validation of the Chinese HEIghten® Critical Thinking assessment with a nationally representative sample of Electrical Engineering and Computer Science students from 35 institutions in China. Key findings suggest that there was a test…
Descriptors: Foreign Countries, Critical Thinking, Engineering Education, Computer Science Education