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Koole, Marguerite – International Journal of Mobile and Blended Learning, 2018
This article is primarily a theoretical piece that uses a model of mobile learning, the FRAME model (Koole 2009), to explore a mobile teacher-training project that took place in Papua New Guinea: the SMS Story. The author takes a sociomaterial perspective, drawing upon Barad's agential realism and Sørensen's multiplicity perspective. As the author…
Descriptors: Electronic Learning, Teacher Education, Foreign Countries, Models
Godwin-Jones, Robert – Educational Technology & Society, 2019
The rapid developments today in artificial intelligence (AI), supported by massive language data collection, are resulting in ever better digital language assistance/translation. Advances in the capabilities of intelligent services lead naturally to envisioning a future where there might be a quite different context for second language (L2) use…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Yilmaz, Fatma Gizem Karaoglan; Yilmaz, Ramazan; Durak, Hatice Yildiz; Keser, Hafize – World Journal on Educational Technology: Current Issues, 2019
The extensification activities of Education Informatics Network use in Turkey are in progress. The use and preferability of this education portal by teachers and students depend on various factors. One of these factors is usability. The purpose of this research is to make the usability analysis of the Education Informatics Network from the…
Descriptors: Foreign Countries, Information Seeking, Technology Integration, Information Technology
Afzal, Shazia; Dempsey, Bryan; D'Helon, Cassius; Mukhi, Nirmal; Pribic, Milena; Sickler, Aaron; Strong, Peggy; Vanchiswar, Mira; Wilde, Lorin – Childhood Education, 2019
As artificially intelligent systems make their foray into the day-to-day educational experiences of students, we need to pay careful attention to the relationship between the system and the student. In this article, the authors discuss designing the personality of a virtual tutoring system called IBM Watson Tutor. The AI personality is key to the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Design, Learner Engagement
Xinyi Wang; Mohd Nazri Bin Abdul Rahman; Mohd Shahril Nizam Shaharom – Cogent Education, 2024
Augmented reality (AR) technology is increasingly utilized in cognitive development and education of preschoolers. The Augmented Reality Integrated STEM Preschooler (ARISP) module combines AR technology with STEM (Science, Technology, Engineering, and Mathematics) in teaching and learning activity. This study aims to assess the impacts of the…
Descriptors: Foreign Countries, Preschool Education, STEM Education, Learning Activities
Prinsloo, Paul – E-Learning and Digital Media, 2017
In the socio-technical imaginary of higher education, algorithmic decision-making offers huge potential, but we also cannot deny the risks and ethical concerns. In fleeing from Frankenstein's monster, there is a real possibility that we will meet Kafka on our path, and not find our way out of the maze of ethical considerations in the nexus between…
Descriptors: Mathematics, Decision Making, Higher Education, Data Collection
Cho, Eunji; Lee, Kyunghwa; Cherniak, Shara; Jung, Sung Eun – Technology, Knowledge and Learning, 2017
Drawing on Latour's (Reassembling the social: an introduction to actor--network-theory, Oxford University Press, New York, 2005), this manuscript discusses a study of a robotics class in a public, Title I elementary school. Compared with theoretical frameworks (e.g., constructivism and constructionism) dominant in the field of early childhood…
Descriptors: Robotics, Man Machine Systems, Instructional Materials, Science Activities
Haymes, Tom – Current Issues in Education, 2020
Productive "Third Spaces" are often an afterthought when designing learning environments, both in a physical sense and online. These areas, properly mediated by technology and designed around humans, can often be a key facilitator for student success. The STAC Model is designed to provide a framework for understanding what makes these…
Descriptors: Models, Informal Education, Instructional Design, Technology Uses in Education
Rus, Vasile; Gautam, Dipesh; Swiecki, Zachari; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2016
Engineering virtual internships are simulations where students role play as interns at fictional companies, working to create engineering designs. To improve the scalability of these virtual internships, a reliable automated assessment system for tasks submitted by students is necessary. Therefore, we propose a machine learning approach to…
Descriptors: Engineering Education, Internship Programs, Computer Simulation, Models
Popescu, Paul Stefan – International Educational Data Mining Society, 2015
In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be…
Descriptors: Data Analysis, Electronic Learning, Interaction, Design
Zhong, Baichang; Xia, Liying – International Journal of Science and Mathematics Education, 2020
By providing students with a highly interactive and hands-on learning experience, robotics promises to inspire a new generation of mathematical learning. This paper aims to review the empirical evidence on the application of robotics in mathematics education and to define future research perspectives of robot-assisted mathematics education. After…
Descriptors: Robotics, Technology Uses in Education, Mathematics Education, Educational Benefits
Peer, Andrea Jo – ProQuest LLC, 2017
Organizations interested in increasing their user experience (UX) capacity lack the tools they need to know how to do so. This dissertation addresses this challenge via three major research efforts: 1) the creation of User Data Spectrum theory and a User Data Spectrum survey for helping organizations better invest resources to grow their UX…
Descriptors: Data Collection, Data Interpretation, Theories, Use Studies
Holstein, Kenneth; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2019
As artificial intelligence (AI) increasingly enters K-12 classrooms, what do teachers and students see as the roles of human versus AI instruction, and how might educational AI (AIED) systems best be designed to support these complementary roles? We explore these questions through participatory design and needs validation studies with K12 teachers…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, Elementary Secondary Education
Schleicher, Andreas; Achiron, Marilyn; Burns, Tracey; Davis, Cassandra; Tessier, Rebecca; Chambers, Nick – OECD Publishing, 2019
This report, the product of a collaboration between the Organisation for Economic Co-operation and Development (OECD) and the UK-based charity, Education and Employers, offers a glimpse of how children see their future, and the forces that, if properly understood and harnessed, will drive them forward to realise their dreams. Through concerted…
Descriptors: Educational Trends, Trend Analysis, Computer Uses in Education, Artificial Intelligence
Duarte, Fernanda da Costa Portugal – ProQuest LLC, 2015
This dissertation investigates how the emergence of the Internet of Things and the embeddedness of sensors and networked connectivity onto things, physical spaces and biological bodies rearticulates embodied spaces, devises practices of self-making and forms of power in the governance of the self and society. (Abstract shortened by ProQuest.).…
Descriptors: Internet, Computer Networks, Measurement Equipment, Physical Environment