NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – Online Submission, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…
Descriptors: Elementary School Teachers, Computer Science Education, Programming, Abstract Reasoning
Peer reviewed Peer reviewed
Direct linkDirect link
Nikula, Uolevi; Sajaniemi, Jorma; Tedre, Matti; Wray, Stuart – Journal of Information Technology Education, 2007
Students often find that learning to program is hard. Introductory programming courses have high drop-out rates and students do not learn to program well. This paper presents experiences from three educational institutions where introductory programming courses were improved by adopting Python as the first programming language and roles of…
Descriptors: Programming Languages, Programming, Abstract Reasoning, Introductory Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Seppala, Otto; Malmi, Lauri; Korhonen, Ari – Computer Science Education, 2006
Data structures and algorithms are core issues in computer programming. However, learning them is challenging for most students and many of them have various types of misconceptions on how algorithms work. In this study, we discuss the problem of identifying misconceptions on the principles of how algorithms work. Our context is algorithm…
Descriptors: Programming, Abstract Reasoning, Misconceptions, Case Studies