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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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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
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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
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
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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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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
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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
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
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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
Glazner, Steve, Ed. – APPA: Association of Higher Education Facilities Officers (NJ1), 2008
The "Facilities Performance Indicators Survey" ("FPI") supersedes and builds upon the two major surveys APPA conducted in the past: the Comparative Costs and Staffing (CCAS) survey and the Strategic Assessment Model (SAM). The "FPI" covers all the materials collected in CCAS and SAM, along with some select new data points and improved survey…
Descriptors: School Maintenance, Facility Guidelines, Educational Facilities, Performance Technology