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Direct linkDu, Xiaoming; Ge, Shilun; Wang, Nianxin – International Journal of Information and Communication Technology Education, 2022
In the context of education big data, it uses data mining and learning analysis technology to accurately predict and effectively intervene in learning. It is helpful to realize individualized teaching and individualized teaching. This research analyzes student life behavior data and learning behavior data. A model of student behavior…
Descriptors: Prediction, Data, Student Behavior, Academic Achievement
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
Yong, Su Ting; Tiong, Kung Ming – International Journal of Information and Communication Technology Education, 2022
This study explored students' motivation and difficulties in learning programming in a blended learning environment. The face-to-face classroom instructions were blended with digital learning instructions. The study adopted a convergent parallel design mixed methods research and involved 209 pre-university students. The findings were as follows:…
Descriptors: Blended Learning, Student Motivation, Programming, Computer Science Education
