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Showing 1 to 15 of 42 results Save | Export
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Mohammed, Abdul Hanan Khan; Jebamikyous, Hrag-Harout; Nawara, Dina; Kashef, Rasha – Journal of Computing in Higher Education, 2021
Data Analytics has become an essential part of the Internet of Things (IoT), mainly text analytics-related applications, since they can be utilized to benefit educational institutions, consumers, and enterprises. Text Analytics is excessively used in Smart Education after the emerging technologies such as personal computers, tablets, and even…
Descriptors: Internet, Equipment, Data Analysis, Electronic Learning
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Mohsina Kamarudeen; K. Vijayalakshmi – International Society for Technology, Education, and Science, 2023
This paper presents a mobile application aimed at enhancing the financial literacy of college students by monitoring their spending patterns and promoting better decision-making. The application is developed using the agile methodology with Android Studio and Flutter as development tools and Firebase as a database. The app is divided into…
Descriptors: Money Management, Computer Software, Financial Literacy, Telecommunications
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Pishtari, Gerti; Rodríguez-Triana, María J.; Sarmiento-Márquez, Edna M.; Pérez-Sanagustín, Mar; Ruiz-Calleja, Adolfo; Santos, Patricia; P. Prieto, Luis; Serrano-Iglesias, Sergio; Väljataga, Terje – British Journal of Educational Technology, 2020
Mobile and Ubiquitous Learning (m/u-learning) are finding an increasing adoption in education. They are often distinguished by hybrid learning environments that encompass elements of formal and informal learning, in activities that happen in distributed settings (indoors and outdoors), across physical and virtual spaces. Despite their purported…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Learning Processes
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Boenig-Liptsin, Margarita; Tanweer, Anissa; Edmundson, Ari – Journal of Statistics and Data Science Education, 2022
This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science lifecycle framework to engage data science students and practitioners with the ethical…
Descriptors: Ethics, Statistics Education, Feminism, Interdisciplinary Approach
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
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Bers, Marina Umaschi – European Journal of STEM Education, 2018
In recent years, there has been an increased effort to introduce coding and computational thinking in early childhood education. In accordance with the international trend, programming has become an increasingly growing focus in European education. With over 9.5 million iPhone Operating System (iOS) downloads, ScratchJr is the most popular freely…
Descriptors: Thinking Skills, Early Childhood Education, Programming, Telecommunications
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Seymoens, Tom; Van Audenhove, Leo; Van den Broeck, Wendy; Mariën, Ilse – Journal of Media Literacy Education, 2020
This paper presents "the DataBuzz Project." "DataBuzz" is a high-tech, mobile educational lab, which is housed in a 13-meter electric bus. Its specific goal is to increase the data literacy of different segments of society in the Brussels region through inclusive and participatory games and workshops. In this paper, we will…
Descriptors: Data Analysis, Literacy, Program Descriptions, Laboratories
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Grewal, Dhruv; Motyka, Scott; Levy, Michael – Journal of Marketing Education, 2018
The pace of retail evolution has increased dramatically, with the spread of the Internet and as consumers have become more empowered by mobile phones and smart devices. This article outlines significant retail innovations that reveal how retailers and retailing have evolved in the past several decades. In the same spirit, the authors discuss how…
Descriptors: Retailing, Marketing, Futures (of Society), Teaching Methods
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Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
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Root, Jenny R.; Cox, Sarah K.; Gonzalez, Stephanie – Research and Practice for Persons with Severe Disabilities, 2019
Data analysis inherently requires problem solving, yet it is the most understudied mathematical skill for individuals with extensive support needs. The current study taught elementary students with extensive support needs (i.e., autism and intellectual disability) to solve math word problems requiring analysis of scaled pictographs through…
Descriptors: Special Needs Students, Problem Solving, Mathematics Skills, Elementary School Students
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Taylor, Katie Headrick; Silvis, Deborah; Kalir, Remi; Negron, Anthony; Cramer, Catherine; Bell, Adam; Riesland, Erin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2019
A project called Mobile City Science (MCS), a partnership between the University of Washington, New York Hall of Science, the Digital Youth Network, and two high schools, leverages young people's proclivity for on-the-move digital engagement to re-place and mobilize learning through public, community settings that youth identify as being relevant…
Descriptors: Educational Technology, Technology Uses in Education, College School Cooperation, High Schools
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Hockly, Nicky; Dudeney, Gavin – RELC Journal: A Journal of Language Teaching and Research, 2018
Anybody who has lived through the past decade of technological developments will know how quickly our world is changing. And what happens outside our teaching contexts, out there in the real world, will inevitably -- at least some of it -- end up having an impact on what we do inside our classrooms, lecture halls, schools and colleges. Some of the…
Descriptors: Educational Trends, Trend Analysis, Language Teachers, English (Second Language)
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Doabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
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Kay, Robin; Benzimra, Daniel; Li, Jia – Journal of Educational Computing Research, 2017
Previous research on distractions and the use of mobile devices (personal digital assistants, tablet personal computers, or laptops) have been conducted almost exclusively in higher education. The purpose of the current study was to examine the frequency and influence of distracting behaviors in Bring Your Own Device secondary school classrooms.…
Descriptors: Foreign Countries, Influence of Technology, Attention Control, Handheld Devices
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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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