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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Akkaya, Ali; Akpinar, Yavuz – Computer Science Education, 2022
Background and Context: Though still a nascent area of research, serious games have been presented as means of engaging students in computer programming and computational thinking due to their immersive and interactive nature. Existing research is limited in its ability to provide systems based on sound instructional design models, and only a few…
Descriptors: Experiential Learning, Educational Games, Instructional Design, Programming
Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
Berre, Arne J.; Huang, Shihong; Murad, Hani; Alibakhsh, Hanieh – Computer Science Education, 2018
This article presents the results of observations and analyses of students' learning model-driven system development from two related courses taught at a university in Norway and at a university in the United States in 2015, and consequently, in an updated version in 2016. The motivation of this article is to understand and analyse how effective…
Descriptors: Engineering Education, Computer Software, Foreign Countries, Problem Solving
Gal-Ezer, Judith; Trakhtenbrot, Mark – Computer Science Education, 2016
Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract…
Descriptors: Computer Science Education, Problem Solving, Computation, Difficulty Level
Margulieux, Lauren E.; Catrambone, Richard; Guzdial, Mark – Computer Science Education, 2016
The rapid integration of technology into our professional and personal lives has left many education systems ill-equipped to deal with the influx of people seeking computing education. To improve computing education, we are applying techniques that have been developed for other procedural fields. The present study applied such a technique, subgoal…
Descriptors: Computer Science Education, Programming, Educational Improvement, Undergraduate Students
Fee, Samuel B.; Holland-Minkley, Amanda M. – Computer Science Education, 2010
Regardless of the course topic, every instructor in a computing field endeavors to engage their students in deep problem-solving and critical thinking. One of the specific learning outcomes throughout our computer science curriculum is the development of independent, capable problem solving--and we believe good pedagogy can bring such about. Our…
Descriptors: Problem Based Learning, Problem Solving, Computer Science, Teaching Methods
Box, Ilona – Computer Science Education, 2009
This paper contributes to an understanding of the variation in approaches that information system analysts/designers use to do analysis and design. A qualitative, phenomenographic research method was used. Four categories were constituted from the data: an "ad hoc" strategy with the intention of solving the problem as quickly as…
Descriptors: Research Methodology, Intention, Information Systems, Employees
Piater, Justus H. – Computer Science Education, 2009
Conventional introduction to computer science presents individual algorithmic paradigms in the context of specific, prototypical problems. To complement this algorithm-centric instruction, this study additionally advocates problem-centric instruction. I present an original problem drawn from students' life that is simply stated but provides rich…
Descriptors: Computer Science, Teaching Methods, Undergraduate Students, Problem Solving
Lavy, Ilana; Rashkovits, Rami; Kouris, Roy – Computer Science Education, 2009
One of the subjects that undergraduate students learning Object Oriented (OO) design find hard to apply is the construction of class hierarchies in general, and the use of interface classes in particular. The design process requires decomposition and reconstruction of problems in order to model software classes. The common attributes and behaviors…
Descriptors: Undergraduate Students, Design, Problem Solving, Teaching Methods
Armoni, Michal; Ginat, David – Computer Science Education, 2008
Reversing is the notion of thinking or working in reverse. Computer science textbooks and tutors recognize it primarily in the form of recursion. However, recursion is only one form of reversing. Reversing appears in the computer science curriculum in many other forms, at various intellectual levels, in a variety of fundamental courses. As such,…
Descriptors: Computer Science Education, Problem Solving, Computer Science, Models
Sien, Ven Yu – Computer Science Education, 2011
Object-oriented analysis and design (OOAD) is not an easy subject to learn. There are many challenges confronting students when studying OOAD. Students have particular difficulty abstracting real-world problems within the context of OOAD. They are unable to effectively build object-oriented (OO) models from the problem domain because they…
Descriptors: Foreign Countries, Computer Science Education, Undergraduate Students, Computer Software
Boyer, Kristy Elizabeth; Phillips, Robert; Wallis, Michael D.; Vouk, Mladen A.; Lester, James C. – Computer Science Education, 2009
The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and may reveal important instructional interventions that could benefit student engagement and…
Descriptors: Computer Science Education, Tutoring, Student Motivation, Learning Processes
Armoni, Michal; Gal-Ezer, Judith – Computer Science Education, 2007
Non-determinism is one of the most important, yet abstract, recurring concepts of Computer Science. It plays an important role in Computer Science areas such as formal language theory, computability theory, distributed computing, and operating systems. We conducted a series of studies on the perception of non-determinism. In the current research,…
Descriptors: Computer Science, Scientific Concepts, Computer Science Education, Abstract Reasoning
Parhami, Behrooz – Computer Science Education, 2008
We observe that recruitment efforts aimed at alleviating the shortage of skilled workforce in computer engineering must be augmented with strategies for retaining and motivating the students after they have enrolled in our educational programmes. At the University of California, Santa Barbara, we have taken a first step in this direction by…
Descriptors: First Year Seminars, College Freshmen, Internet, Academic Persistence
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