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Showing 1 to 15 of 35 results Save | Export
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Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
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Vaiopoulou, Julie; Papadakis, Stamatios; Sifaki, Eirini; Kalogiannakis, Michail; Stamovlasis, Dimitrios – Education and Information Technologies, 2023
This study explored certain popular educational apps' vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers' (n2 = 295) at the University of Crete, Greece, using a new instrument, validated in…
Descriptors: Foreign Countries, Young Children, Kindergarten, Educational Technology
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Gansterer, Margaretha; Klug, Veronika – Education Sciences, 2020
The Traveling Salesman and Vehicle Routing Problems are integral parts of bachelor and master programs related to Operations Research/Management Science. This is due to their relevance in both practical applications and research. For students, it is essential to gain a deep understanding of the problems' inherent complexity. For this, several…
Descriptors: Operations Research, Instructional Materials, College Instruction, Classification
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Pechenkina, Ekaterina – Australasian Journal of Educational Technology, 2017
Mobile applications (apps) are used in higher education (HE) in a variety of ways, including as learning tools, study organisers, for marketing, and recruitment of new students. Purposed with easing student transition into university life, organiser apps have a capacity to assist students with various aspects of university experience, freeing up…
Descriptors: Classification, Computer Oriented Programs, Educational Technology, Handheld Devices
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Rosenthal, Maura B.; Eliason, Susan K. – Journal of Physical Education, Recreation & Dance, 2015
In response to an iPad initiative at a mid-sized New England university, all faculty, junior and senior undergraduates, and graduate students were required to have iPads by the first day of class in the fall semester of 2013. Goals of the initiative focused on preparing future teachers to use the iPad as a teaching and learning tool so they could…
Descriptors: College Students, College Faculty, Physical Education, Higher Education
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Cherner, Todd; Dix , Judy; Lee, Corey – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2014
As tablet technologies continue to evolve, the emergence of educational applications (apps) is impacting the work of teacher educators. Beyond online lists of best apps for education and recommendations from colleagues, teacher educators have few resources available to support their teaching of how to select educational apps. In response, this…
Descriptors: Handheld Devices, Educational Technology, Computer Oriented Programs, Teacher Educators
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Cahill, Maria; McGill-Franzen, Anne – Reading Teacher, 2013
Beginning with a brief rationale for selecting quality digital picture book apps for beginning readers, the authors describe the elements of digital picture books and provide a brief review of the instructional benefits of digital picture book use for beginning readers. They then present a detailed taxonomy for selecting quality picture book apps.…
Descriptors: Computer Oriented Programs, Beginning Reading, Reading Instruction, Educational Technology
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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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Rorvig, Mark E.; And Others – Information Processing and Management, 1993
Discusses pattern classification of images by computer and describes the Two Domain Method in which expert knowledge is acquired using multidimensional scaling of judgments of dissimilarities and linear mapping. An application of the Two Domain Method that tested its power to discriminate two patterns of human blood leukocyte distribution is…
Descriptors: Classification, Computer Oriented Programs, Expert Systems, Multidimensional Scaling
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Watson, Charles S.; Kewley-Port, Diane – Volta Review, 1989
A taxonomy of computer-based speech training systems is presented, based on the physical source of feedback, standards of evaluation, level and type of detail on which feedback is based, and the form and instructional context of feedback. Reasons for selecting a particular approach are discussed in relation to existing systems. (Author/JDD)
Descriptors: Classification, Computer Oriented Programs, Deafness, Feedback
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Freeman, Raoul J. – AEDS Journal, 1984
Describes a methodology for linking instructional objectives to computer assisted instruction software and for evaluating the software in regard to such objectives. The proposed taxonomy codifies instructional objectives into machine readable format and includes the elements of subject, function, skill hierarchies, capability level, and…
Descriptors: Classification, Cognitive Objectives, Computer Assisted Instruction, Computer Oriented Programs
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Flood, Barbara J. – Journal of the American Society for Information Science, 1999
Provides a brief background of the Biological Abstracts' title index, "Biological Abstracts' Subject in Context" (BASIC) "Stop List," or compilation of nonsignificant words that were going to be automatically stopped from printing. Notes that the Stop List provided an improvement over the raw computer output of titles while…
Descriptors: Abstracts, Classification, Computer Oriented Programs, Indexes
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Bernstein, Lynne – Volta Review, 1989
Design considerations for speech training systems include the types of information about speech to be used in training, whether acoustic or physiologic; and the use of models of speech production, whether partially perceptual and partially knowledge-based or explicit data-based models. A taxonomy of speech training systems is presented.…
Descriptors: Classification, Computer Oriented Programs, Computer System Design, Deafness
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Channell, Ron W.; Johnson, Bonnie W. – Journal of Speech, Language, and Hearing Research, 1999
This study evaluated the accuracy of automated methods of grammatical categorization ("tagging") of transcribed conversational language samples from 30 normally developing children. On a word-by-word basis, automated accuracy levels averaged 95.1%; accuracy of tagging whole utterances averaged 77.7%. Results suggest that further improvement of…
Descriptors: Child Development, Classification, Computer Oriented Programs, Data Analysis
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McDermott, Paul A.; Hale, Robert L. – Journal of Clinical Psychology, 1982
Tested diagnostic classifications of child psychopathology produced by a computerized technique known as multidimensional actuarial classification (MAC), against the criterion of expert psychological opinion. Experts' agreement with MAC was significant for all classification areas, as was MAC's agreement with the experts held as a conjoint…
Descriptors: Children, Classification, Comparative Analysis, Computer Oriented Programs
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