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Zifeng Liu; Wanli Xing; Xinyue Jiao; Chenglu Li; Wangda Zhu – Education and Information Technologies, 2025
The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…
Descriptors: High School Students, Coding, Artificial Intelligence, Electronic Learning
Northrup, Astrid K.; Burrows, Andrea C.; Slater, Timothy F. – Problems of Education in the 21st Century, 2022
Like much of the world, the United States is rapidly implementing the teaching of computer science into both primary and secondary school curricula. Uncovering what challenges U.S. schools in general--and rural U.S. schools in the unique environment of more mountainous regions of the U.S. in particular--face in implementing new curricula is not…
Descriptors: Identification, Curriculum Implementation, Barriers, Computer Science Education
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology

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