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Showing 1 to 15 of 36 results Save | Export
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Gogolla, Martin; Stevens, Perdita – Computer Science Education, 2018
Teaching modeling in computer science is complicated. Many factors contribute, and are related in diverse ways. We regard some combinations as more successful than others, but we also value diversity, and we struggle to elucidate the relationships and our value structure. Similar remarks apply to the study of biological ecosystems. This…
Descriptors: Computer Science Education, Ecology, Teaching Methods, Logical Thinking
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Tedre, Matti; Simon; Malmi, Lauri – Computer Science Education, 2018
Computing education has been an important and sometimes contentious issue ever since the advent of modern computing. Debates about computing education have closely followed job markets, technological development, academic interests, societal concerns, and changes in the perception of computing. The themes in computing education debates can be…
Descriptors: Computer Science Education, Educational Objectives, Educational History, Computer Software
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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
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Kim, Dae-Kyoo; Jeong, Dongwon; Lu, Lunjin; Debnath, Debatosh; Ming, Hua – Computer Science Education, 2015
The need for computing education in the K-12 curriculum has grown globally. The Republic of Korea is not an exception. In response to the need, the Korean Ministry of Education has announced an outline for software-centric computing education in the K-12 system, which aims at enhancing the current computing education with software emphasis. In…
Descriptors: Foreign Countries, Computer Science Education, Elementary Secondary Education, Computer Software
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McCauley, Renée; Grissom, Scott; Fitzgerald, Sue; Murphy, Laurie – Computer Science Education, 2015
Hundreds of articles have been published on the topics of teaching and learning recursion, yet fewer than 50 of them have published research results. This article surveys the computing education research literature and presents findings on challenges students encounter in learning recursion, mental models students develop as they learn recursion,…
Descriptors: Computer Science Education, Programming, Literature Reviews, Best Practices
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Cutts, Quintin; Robertson, Judy; Donaldson, Peter; O'Donnell, Laurie – Computer Science Education, 2017
This paper describes and evaluates aspects of a professional development programme for existing CS teachers in secondary schools (PLAN C) which was designed to support teachers at a time of substantial curricular change. The paper's particular focus is on the formation of a teacher professional development network across several hundred teachers…
Descriptors: Computer Science Education, Science Teachers, Network Analysis, Social Networks
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Taylor, C.; Zingaro, D.; Porter, L.; Webb, K. C.; Lee, C. B.; Clancy, M. – Computer Science Education, 2014
Concept Inventories (CIs) are assessments designed to measure student learning of core concepts. CIs have become well known for their major impact on pedagogical techniques in other sciences, especially physics. Presently, there are no widely used, validated CIs for computer science. However, considerable groundwork has been performed in the form…
Descriptors: STEM Education, Computer Science Education, Concept Formation, Scientific Concepts
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Kinnunen, Paivi; Simon, Beth – Computer Science Education, 2012
This paper discusses two qualitative research methods, phenomenography and grounded theory. We introduce both methods' data collection and analysis processes and the type or results you may get at the end by using examples from computing education research. We highlight some of the similarities and differences between the aim, data collection and…
Descriptors: Grounded Theory, Qualitative Research, Data Collection, Data Analysis
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Gluga, Richard; Kay, Judy; Lister, Raymond; Kleitman, Simon; Kleitman, Sabina – Computer Science Education, 2013
To design an effective computer science curriculum, educators require a systematic method of classifying the difficulty level of learning activities and assessment tasks. This is important for curriculum design and implementation and for communication between educators. Different educators must be able to use the method consistently, so that…
Descriptors: Computer Science Education, Cognitive Development, Difficulty Level, Test Items
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Akin, H. Levent; Meriçli, Çetin; Meriçli, Tekin – Computer Science Education, 2013
Teaching the fundamentals of robotics to computer science undergraduates requires designing a well-balanced curriculum that is complemented with hands-on applications on a platform that allows rapid construction of complex robots, and implementation of sophisticated algorithms. This paper describes such an elective introductory course where the…
Descriptors: Robotics, Computer Science Education, Undergraduate Study, Introductory Courses
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Kinnunen, Paivi; Simon, Beth – Computer Science Education, 2012
This article provides insight into how computing majors experience the process of doing programming assignments in their first programming course. This grounded theory study sheds light on the various processes and contexts through which students constantly assess their self-efficacy as a programmer. The data consists of a series of four…
Descriptors: Grounded Theory, Majors (Students), Assignments, Self Efficacy
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Doube, Wendy; Lang, Catherine – Computer Science Education, 2012
A multimedia university programme with relatively equal numbers of male and female students in elective programming subjects provided a rare opportunity to investigate female motivation to study and pursue computer programming in a career. The MSLQ was used to survey 85 participants. In common with research into deterrence of females from STEM…
Descriptors: Foreign Countries, Sex Stereotypes, Females, Self Efficacy
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Sondergaard, Harald; Mulder, Raoul A. – Computer Science Education, 2012
We examine student peer review, with an emphasis on formative practice and collaborative learning, rather than peer grading. Opportunities to engage students in such formative peer assessment are growing, as a range of online tools become available to manage and simplify the process of administering student peer review. We consider whether…
Descriptors: Cooperative Learning, Peer Evaluation, Formative Evaluation, Intellectual Disciplines
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Ma, 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
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Sanchez, Pablo; Zorrilla, Marta; Duque, Rafael; Nieto-Reyes, Alicia – Computer Science Education, 2011
Models in Software Engineering are considered as abstract representations of software systems. Models highlight relevant details for a certain purpose, whereas irrelevant ones are hidden. Models are supposed to make system comprehension easier by reducing complexity. Therefore, models should play a key role in education, since they would ease the…
Descriptors: Computer Science Education, Computer Software, Programming, Programming Languages
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