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Showing 1 to 15 of 55 results Save | Export
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Nicholas E. Fears; Riya Chatterjee; Priscila M. Tamplain; Haylie L. Miller – Journal of Motor Learning and Development, 2023
Social media platforms are rich and dynamic spaces where individuals communicate on a person-to-person level and to broader audiences. These platforms provide a wealth of publicly available data that can shed light on the lived experiences of people from numerous clinical populations. Twitter can be used to examine individual expressions and…
Descriptors: Social Media, Telecommunications, Psychomotor Skills, Data Collection
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Lee, Sang Eun; Choi, Naya; Kiaer, Jieun – Contemporary Educational Technology, 2023
The study explored the social perceptions of young children's use of smart devices in South Korea using big data methodologies. Big data methodologies allowed to uncover underlying thoughts and feelings about young children's use of smart devices that had not been discovered in existing studies. The study extracted raw data from three different…
Descriptors: Foreign Countries, Social Attitudes, Educational Technology, Technology Uses in Education
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Cho, Eunsoon; Cho, Young Hoan; Grant, Michael M.; Song, Donggil; Huh, Yeol – TechTrends: Linking Research and Practice to Improve Learning, 2020
The Korean Society for Educational Technology (KSET) hosted its second panel discussion partnering with the Association for Educational Communications and Technology (AECT) at the 2019 AECT Convention in Las Vegas, Nevada. A total of four panelists, two from Korea and two from the U.S., participated in the discussion on the trends of educational…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Telecommunications
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Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students
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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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Viswanathan, Sree Aurovindh; VanLehn, Kurt – IEEE Transactions on Learning Technologies, 2018
Effective collaboration between student peers is not spontaneous. A system that can measure collaboration in real-time may be useful, as it could alert an instructor to pairs that need help in collaborating effectively. We tested whether superficial measures of speech and user interface actions would suffice for measuring collaboration. Pairs of…
Descriptors: Cooperative Learning, Data Collection, Data Analysis, Speech Communication
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Altinay, Fahriye, Ed. – IntechOpen, 2020
This book has three sections on the role of technology in education. The first section covers the merits of online learning and environment. The second section of the book gives insight on new technologies in learning and teaching. The third section of the book underlines the importance of new tendencies for the technology in education. There is a…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Electronic Learning
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Ilic, Peter – International Association for Development of the Information Society, 2019
This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…
Descriptors: Active Learning, Handheld Devices, Telecommunications, Blended Learning
Valenza, Marco; Dreesen, Thomas; Kan, Sophia – UNICEF Office of Research - Innocenti, 2022
One tool that many families own, across the globe, is a basic mobile phone. The use of low-cost basic mobile phones for educational purposes in humanitarian settings is critical where access to connectivity and higher cost devices is limited. The portability of mobile phones, combined with their communication features, offers multiple uses to…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
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Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki – Educational Technology & Society, 2018
Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…
Descriptors: Data Collection, Data Analysis, Second Language Learning, Electronic Publishing
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Peseckas, Ryan – Field Methods, 2016
I used a subscriber identity module card reader to copy the lists of saved contacts from 170 mobile phones in Fiji. This approach has both advantages and disadvantages compared to other techniques for collecting telephone network data. Copying phone contacts avoids recall biases associated with survey-based name generators. It also obviates the…
Descriptors: Handheld Devices, Social Networks, Telecommunications, Foreign Countries
Zaydman, Mikhail – ProQuest LLC, 2017
This dissertation examines conversations and attitudes about mental health in Twitter discourse. The research uses big data collection, machine learning classification, and social network analysis to answer the following questions (1) what mental health topics do people discuss on Twitter? (2) Have patterns of conversation changed over time? Have…
Descriptors: Public Policy, Mental Health, Data Analysis, Data Collection
Arrigo, Marco; Fulantelli, Giovanni; Taibi, Davide – International Association for Development of the Information Society, 2015
Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Telecommunications
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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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Purdam, Kingsley – International Journal of Social Research Methodology, 2016
Conducting social science research is a complex process, and social science students face a number of learning challenges in order to develop their skills. Moreover, new sources and types of data including so-called big data are providing new opportunities for research, but also pose methodological challenges. In this article, we explore a…
Descriptors: Social Science Research, Research Methodology, Research Skills, Online Surveys
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