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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
Muhammad Andiri Hendrawan; Romadhani Ardi – International Society for Technology, Education, and Science, 2023
The use of smartphones has become a primary need in supporting human daily activities. With the presence of a smartphone, various activities can be carried out only through an application. One application that is currently popular with Indonesians is an investment application with products such as stocks, mutual funds, and crypto. The presence of…
Descriptors: Handheld Devices, Computer Oriented Programs, Models, Investment
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
Zhang, Chao; Wan, Lili; Min, Daihwan – International Association for Development of the Information Society, 2016
The emphasis of this study lies in behavior change after using car apps that assist users in using their vehicles and establishing a process for examining the interrelationship between car app's persuasive characteristics and behavior change. A categorizing method was developed and 697 car apps were investigated and classified into eight…
Descriptors: Behavior Change, Motor Vehicles, Computer Oriented Programs, Design
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
Yeung, Cheuk Yu; Shum, Kam Hong; Hui, Lucas Chi Kwong; Chu, Samuel Kai Wah; Chan, Tsing Yun; Kuo, Yung Nin; Ng, Yee Ling – International Association for Development of the Information Society, 2017
Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Handheld Devices
Highfield, Kate; Goodwin, Kristy – Mathematics Education Research Group of Australasia, 2013
Increasingly iPads™ are being used in schools and prior-to-school settings, with a plethora of Apps available for mathematics learning. Despite the growing number of Apps available in the iTunes App Store, there has been limited systematic analysis of the pedagogic design of Apps designed for mathematics learning. This paper describes a content…
Descriptors: Handheld Devices, Educational Technology, Technology Uses in Education, Computer Oriented Programs
Epstein, Marion G. – 1974
In planning the development of the system for computer assisted assembly of tests, it was agreed at the outset that one of the basic requirements for the successful initiation of any such system would be the development of a detailed item content classification system. The design of the system for classifying item content is a key element in…
Descriptors: Classification, Codification, Computer Oriented Programs, Computer Programs
Peer reviewedChannell, 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
Peer reviewedMcDermott, 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
Peer reviewedOrwig, Richard E.; Chen, Hsinchun; Nunamaker, Jay F., Jr. – Journal of the American Society for Information Science, 1997
Describes research using an artificial intelligence approach in the application of a Kohonen Self-Organizing Map (SOM) to the problem of classification of electronic brainstorming output and an evaluation of the results. The graphical representation of textual data produced by the Kohonen SOM suggests many opportunities for improving information…
Descriptors: Algorithms, Artificial Intelligence, Brainstorming, Classification
Educational Testing Service, Princeton, NJ. – 1974
Two basic requirements for the successful initiation of a program for test assembly are the development of detailed item content classification systems and the delineation of the professional judgements made in building a test from a pool of items to detailed content, ability, and statistical specifications in terms precise enough to be translated…
Descriptors: Classification, Computer Assisted Testing, Computer Oriented Programs, Computer Programs
Patten, Bryan; Sanchez, Inmaculada Arnedillo; Tangney, Brendan – Computers and Education, 2006
This paper explores current applications for handheld devices and questions which of these make full use of the unique attributes of handheld devices in order to facilitate learning in a pedagogically sensible manner. In order to do so, the paper presents a functional framework which analyses handheld application in relation to their use as well…
Descriptors: Computers, Telecommunications, Educational Environment, Cooperative Learning
Loop, Liza; Christensen, Paul – 1980
The current state of the art on the educational use of microcomputers was explored through a review of the literature, observations, and interviews with teachers and practitioners. A working taxonomy to characterize typical computer-augmented learning environments (CALEs) was developed which consisted of environmental elements, activity segments,…
Descriptors: Classification, Computer Assisted Instruction, Computer Oriented Programs, Computer Science
Cory, Charles H. – 1974
The potential usefulness of computerized tests for supplementing paper-and-pencil measures for predicting job performance abilities was the objective of a series of studies. This report covers the initial test development and analysis research. Eight computerized tests were constructed to measure five personal attributes identified in previous…
Descriptors: Classification, Computer Assisted Testing, Computer Oriented Programs, Evaluation
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