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Direct linkMa, L.; Ferguson, J.; Roper, M.; Wood, M. – Computer Science Education, 2011
The teaching of introductory computer programming seems far from successful, with many first-year students performing more poorly than expected. One possible reason for this is that novices hold "non-viable" mental models (internal explanations of how something works) of key programming concepts which then cause misconceptions and difficulties. An…
Descriptors: Teaching Models, Programming, Misconceptions, Models
Gasparinatou, Alexandra; Grigoriadou, Maria – Computer Science Education, 2011
Previous studies have shown that students with low knowledge understand and learn better from more cohesive texts, whereas high-knowledge students have been shown to learn better from texts of lower cohesion. This study examines whether high-knowledge readers in computer science benefit from a text of low cohesion. Undergraduate students (n = 65)…
Descriptors: Undergraduate Students, Reading Comprehension, Computer Science Education, Aptitude Treatment Interaction
Gaspar, Alessio; Langevin, Sarah; Boyer, Naomi; Armitage, William – Computer Science Education, 2009
This study broadens the objectives of previous work (Boyer, N., Langevin, S., Gaspar, A. (2008). "Self direction and constructivism in programming education." "Proceedings of the ACM Special Interest Group in IT Education Conference," 16-18 October 2008, Cincinnati, OH) in which we used a survey-based instrument, the Personal…
Descriptors: Constructivism (Learning), Online Courses, Program Effectiveness, Programming
Mannila, Linda; Peltomaki, Mia; Salakoski, Tapio – Computer Science Education, 2006
In this paper, we present the results from a two-part study. We analyze 60 programs written by novice programmers aged 16-19 after their first programming course, in either Java or Python. The aim is to find difficulties independent of the language used, and such originating from the language. Second, we analyze the transition from a…
Descriptors: Programming, Programming Languages, Syntax, Learning Problems
Postner, Lori; Stevens, Reed – Computer Science Education, 2005
In this paper, we explore how students used two resources, the in-class lecture and the online newsgroup, to write computer programs. By focusing on the questions students asked in each setting, we compare these two learning environments. Questions students asked during lecture typically related to the material the instructor was presenting. In…
Descriptors: Programming, Lecture Method, Computer Science Education, Use Studies
Ragonis, Noa; Ben-Ari, Mordechai – Computer Science Education, 2005
This article describes research on the learning of object-oriented programming (OOP) by novices. During two academic years, we taught OOP to high school students, using Java and BlueJ. Our approach to teaching featured: objects-first, teaching composed classes relatively early, deferring the teaching of main methods, and focusing on class…
Descriptors: Constructivism (Learning), Investigations, Concept Teaching, Programming
