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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 14 results
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Bati, Tesfaye Bayu; Gelderblom, Helene; van Biljon, Judy – Computer Science Education, 2014
The challenge of teaching programming in higher education is complicated by problems associated with large class teaching, a prevalent situation in many developing countries. This paper reports on an investigation into the use of a blended learning approach to teaching and learning of programming in a class of more than 200 students. A course and…
Descriptors: Foreign Countries, Teaching Methods, Blended Learning, Educational Technology
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Straub, Jeremy – Computer Science Education, 2014
This article surveys the examination requirements for attaining degree candidate (candidacy) status in computer science doctoral programs at all of the computer science doctoral granting institutions in the United States. It presents a framework for program examination requirement categorization, and categorizes these programs by the type or types…
Descriptors: Computer Science Education, Doctoral Degrees, Universities, Comparative Analysis
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Liu, Allison S.; Schunn, Christian D.; Flot, Jesse; Shoop, Robin – Computer Science Education, 2013
Computer science proficiency continues to grow in importance, while the number of students entering computer science-related fields declines. Many rich programming environments have been created to motivate student interest and expertise in computer science. In the current study, we investigated whether a recently created environment, Robot…
Descriptors: Computer Science Education, Programming, Robotics, Teaching Methods
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Alaoutinen, Satu – Computer Science Education, 2012
This study evaluates a new taxonomy-based self-assessment scale and examines factors that affect assessment accuracy and course performance. The scale is based on Bloom's Revised Taxonomy and is evaluated by comparing students' self-assessment results with course performance in a programming course. Correlation has been used to reveal possible…
Descriptors: Advanced Students, Cognitive Style, Measures (Individuals), Program Effectiveness
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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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Al-Saggaf, Yeslam; Burmeister, Oliver K. – Computer Science Education, 2012
This exploratory study compares and contrasts two types of critical thinking techniques; one is a philosophical and the other an applied ethical analysis technique. The two techniques analyse an ethically challenging situation involving ICT that a recent media article raised to demonstrate their ability to develop the ethical analysis skills of…
Descriptors: Foreign Countries, Case Studies, Information Technology, Computer Science Education
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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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Lewis, Colleen M. – Computer Science Education, 2011
This study investigates differences between collaboration methods in two summer enrichment classes for students entering the sixth grade. In one treatment, students used pair programming. In the other treatment, students engaged in frequent collaboration, but worked on their own computer. Students in the two treatments did not differ significantly…
Descriptors: Elementary School Students, Student Attitudes, Educational Research, Tests
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Wallace, Scott A.; McCartney, Robert; Russell, Ingrid – Computer Science Education, 2010
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Descriptors: Games, Intercollegiate Cooperation, Curriculum Design, Curriculum Implementation
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Randolph, Justus J.; Julnes, George; Bednarik, Roman; Sutinen, Erkki – Computer Science Education, 2007
In this study we empirically investigate the claim that articles published in computer science education journals are more methodologically sound than articles published in computer science education conference proceedings. A random sample of 352 articles was selected from those articles published in major computer science education forums between…
Descriptors: Peer Evaluation, Classification, Computer Science Education, Journal Articles
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de Raadt, Michael – Computer Science Education, 2007
This Australasian focused review compares a number of recent studies that have identified difficulties encountered by novices while learning programming and problem solving. These studies have shown that novices are not performing at expected levels and many novices have only a fragile knowledge of programming, which may prevent them from learning…
Descriptors: Foreign Countries, Outcomes of Education, Computer Science Education, Literature Reviews
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Eckerdal, Anna; McCartney, Robert; Mostrom, Jan Erik; Ratcliffe, Mark; Zander, Carol – Computer Science Education, 2006
This paper examines the problem of studying and comparing student software designs. We propose semantic categorization as a way to organize widely varying data items. We describe how this was used to organize a particular multi-national, multi-institutional dataset, and present the results of this analysis: most students are unable to effectively…
Descriptors: Semantics, Computer Software, Classification, Computer System Design
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Haberman, Bruria – Computer Science Education, 2004
Recursion is a central concept in computer science, yet it is difficult for beginners to comprehend. Israeli high-school students learn recursion in the framework of a special modular program in computer science (Gal-Ezer & Harel, 1999). Some of them are introduced to the concept of recursion in two different paradigms: the procedural programming…
Descriptors: Foreign Countries, Models, Knowledge Representation, Logical Thinking
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Lancaster, Thomas; Culwin, Fintan – Computer Science Education, 2004
Automated techniques for finding plagiarism in student source code submissions have been in use for over 20 years and there are many available engines and services. This paper reviews the literature on the major modern detection engines, providing a comparison of them based upon the metrics and techniques they deploy. Generally the most common and…
Descriptors: Foreign Countries, Plagiarism, College Students, Student Evaluation