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Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
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Mozgovoy, Maxim; Kakkonen, Tuomo; Cosma, Georgina – Journal of Educational Computing Research, 2010
The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to…
Descriptors: Plagiarism, Alphabets, Internet, Ethics
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Priem, Jason – Journal of Educational Computing Research, 2010
The study of student error, important across many fields of educational research, has begun to attract interest in the field of e-learning, particularly in relation to usability. However, it remains unclear when errors should be avoided (as usability failures) or embraced (as learning opportunities). Many domains have benefited from taxonomies of…
Descriptors: Electronic Learning, Educational Research, Distance Education, Classification
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Bruce, Bertram C.; Levin, James A. – Journal of Educational Computing Research, 1997
Describes a new way of classifying uses of educational technologies based on a four-part division: inquiry, communication, construction, and expression. This taxonomy is compared to previous taxonomies of educational technologies. The utility of the taxonomy is tested by using it to classify "advanced applications of technologies"…
Descriptors: Classification, Comparative Analysis, Educational Research, Educational Technology
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Zammit, Katina – Journal of Educational Computing Research, 2000
Explains the development of a classification system for different types of icons to determine which icons proved difficult for elementary school students to read. Considers pictorial, textual, and combination icons from two CD-ROM programs, and concludes that assumptions about pictorial navigation icons and benefits of pop-up labels are probably…
Descriptors: Classification, Computer Assisted Instruction, Elementary Education, Elementary School Students
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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