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Kwon, Kyungbin; Ottenbreit-Leftwich, Anne T.; Brush, Thomas A.; Jeon, Minji; Yan, Ge – Educational Technology Research and Development, 2021
This study investigated how a computer science (CS) problem-based curriculum impacted elementary students' CS learning and attitudes. Four sixth-grade teachers and 200 of their students participated in the study. Researchers developed a CS curriculum in collaboration with the teachers, which consisted of two main units: (1) an introduction to…
Descriptors: Problem Based Learning, Elementary School Curriculum, Elementary School Students, Student Attitudes
Noh, Jiyae; Lee, Jeongmin – Educational Technology Research and Development, 2020
Around the world, programming education is actively promoted by such factors as economic and technical requirements. The use of a robot in programming education could help students understand computer-science concepts more easily. In this study we designed a course in programming a robot for elementary school students and investigated its…
Descriptors: Thinking Skills, Elementary School Students, Robotics, Programming
Okita, Sandra Y. – British Journal of Educational Technology, 2014
This study examined whether developing earlier forms of knowledge in specific learning environments prepares students better for future learning when they are placed in an unfamiliar learning environment. Forty-one students in the fifth and sixth grades learned to program robot movements using abstract concepts of speed, distance and direction.…
Descriptors: Robotics, Electronic Learning, Programming, Learning Processes
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection