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Showing 1 to 15 of 20 results Save | Export
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Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
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Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data
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Sobolev, Alexandr Borisovich – Russian Education & Society, 2016
The article describes peculiarities of implementation and major differences in network educational programs, currently introduced in Russia. It presents a general typology of models and forms for implementing interaction between educational institutions of Russia, including teacher institutes and federal universities, as well as a typology of…
Descriptors: Program Implementation, Classification, Differences, Foreign Countries
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Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
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Fouh, Eric; Akbar, Monika; Shaffer, Clifford A. – Computers in the Schools, 2012
Computer science core instruction attempts to provide a detailed understanding of dynamic processes such as the working of an algorithm or the flow of information between computing entities. Such dynamic processes are not well explained by static media such as text and images, and are difficult to convey in lecture. The authors survey the history…
Descriptors: Computer Science Education, Educational Assessment, Visualization, Computer Science
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Srba, Ivan; Bielikova, Maria – IEEE Transactions on Learning Technologies, 2015
In the current time of globalization, collaboration among people in virtual environments is becoming an important precondition of success. This trend is reflected also in the educational domain where students collaborate in various short-term groups created repetitively but changing in each round (e.g. in MOOCs). Students in these kind of dynamic…
Descriptors: Cooperative Learning, Online Courses, Group Dynamics, Feedback (Response)
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Ezen-Can, Aysu; Boyer, Kristy Elizabeth – Journal of Educational Data Mining, 2015
Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. Automatically modeling the dialogue act of these student utterances is crucial for scaling natural language…
Descriptors: Classification, Dialogs (Language), Computational Linguistics, Information Retrieval
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Armoni, Michal; Ben-Ari, Mordechai – Science & Education, 2009
Nondeterminism is a fundamental concept in computer science that appears in various contexts such as automata theory, algorithms and concurrent computation. We present a taxonomy of the different ways that nondeterminism can be defined and used; the categories of the taxonomy are domain, nature, implementation, consistency, execution and…
Descriptors: Computer Science Education, Fundamental Concepts, Textbooks, Semantics
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Myller, Niko; Bednarik, Roman; Sutinen, Erkki; Ben-Ari, Mordechai – ACM Transactions on Computing Education, 2009
As collaborative learning in general, and pair programming in particular, has become widely adopted in computer science education, so has the use of pedagogical visualization tools for facilitating collaboration. However, there is little theory on collaborative learning with visualization, and few studies on their effect on each other. We build on…
Descriptors: Computer Science Education, Learning Activities, Visualization, Classification
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Madhyastha, Tara; Tanimoto, Steven – Journal of Interactive Media in Education, 2009
A number of educational researchers have developed pedagogical approaches that involve the teacher in discovering and helping to correct misconceptions that students bring to their study of their subject matter. During the last decade, several computer systems have been developed to support teaching and learning using this kind of approach. A…
Descriptors: Educational Researchers, Educational Theories, College Students, Misconceptions
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Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
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Robbins, Russell W.; Butler, Brian S. – Journal of Information Systems Education, 2009
Like any infrastructure technology, Virtual World (VW) platforms provide affordances that facilitate some activities and hinder others. Although it is theoretically possible for a VW platform to support all types of activities, designers make choices that lead technologies to be more or less suited for different learning objectives. Virtual World…
Descriptors: Computer Assisted Instruction, Barriers, Educational Objectives, Teaching Methods
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Gonzales, Michael G. – Computer Education, 1984
Suggests a moving pictorial tool to help teach principles in the bubble sort algorithm. Develops such a tool applied to an unsorted list of numbers and describes a method to derive the run time of the algorithm. The method can be modified to run the times of various other algorithms. (JN)
Descriptors: Algorithms, Classification, College Mathematics, Computer Programs
Young, Jeffrey R. – Chronicle of Higher Education, 1997
Based on the idea that the current framework for organizing electronic data does not take advantage of the mind's ability to make connections among disparate pieces of information, several projects at universities around the country are taking new approaches to classification and storage of vast amounts of computerized data. The new systems take…
Descriptors: Classification, Computer Science, Computer Software Development, Concept Formation
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Dryburgh, Heather – Journal of Educational Computing Research, 2000
Discusses the decline in the number of female computer science graduates and presents a categorization by educational stages of the research into this decline as well as an evaluation of the generalizability of findings to broader contexts. Show that the most extensive research is done at the post-secondary stage. (Contains 53 references.)…
Descriptors: Classification, Computer Science Education, Females, Gender Issues
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