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Shen, Guohua; Yang, Sien; Huang, Zhiqiu; Yu, Yaoshen; Li, Xin – Education and Information Technologies, 2023
Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…
Descriptors: Prediction, Programming, Student Characteristics, Profiles
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Miaoting Cheng; Xiaoyan Lai; Da Tao; Juntong Lai; Jun Yang – Education and Information Technologies, 2024
While numerous studies have highlighted the potential benefits of programming environment (PE) use for children's learning, the boundary conditions of children's PE acceptance within the programming education context are less clear. This study fills this gap in the literature by investigating the critical determinants of children's PE use…
Descriptors: Programming, Intention, Competition, Computation
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Luik, Piret; Feklistova, Lidia; Lepp, Marina; Tõnisson, Eno; Suviste, Reelika; Gaiduk, Maria; Säde, Merilin; Palts, Tauno – Education and Information Technologies, 2019
There are millions of MOOC participants who vary in gender, age, educational level, employment status, intentions, etc. Although MOOC participants' characteristics have been studied, there is still a lack of knowledge of the divergence between the participants and completers of MOOCs with different levels of difficulty. The term 'level of…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Mikum, Siriporn; Suksakulchai, Surachai; Chaisanit, Settachai; Murphy, Elizabeth – Education and Information Technologies, 2018
Social media (SM) support new approaches to learning that rely on voluntary, peer-to-peer communication using devices and software provided and managed by students rather than on institutional course management systems. We present one case of such an approach with first-year university students (n = 86) in Thailand using SM for asking and…
Descriptors: Social Media, College Freshmen, Programming, Student Participation