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Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2011
In the 21st century, the ubiquitous nature of technology today is evident and to a large extent, most of us benefit from the modern convenience brought about by technology. Yet to be technology literate, it is argued that learning to program still plays an important role. One area of research in programming concerns the identification of…
Descriptors: Foreign Countries, Academic Achievement, Information Technology, Least Squares Statistics
Ford, Marilyn; Venema, Sven – Journal of Information Technology Education, 2010
With universities having difficulty attracting students to study information technology (IT), the scores needed for entry into IT degrees have dropped markedly. IT schools are thus having to cope by adjusting their introductory courses to ensure that students will still learn what is expected but without negatively impacting on pass rates. This…
Descriptors: Fundamental Concepts, Introductory Courses, Multiple Choice Tests, Information Technology
Ventura, Philip R., Jr. – Computer Science Education, 2005
The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability…
Descriptors: Academic Achievement, Predictor Variables, Computer Science Education, Programming