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Showing 256 to 270 of 737 results Save | Export
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Bozkurt, Aras; Kilgore, Whitney; Crosslin, Matt – Australasian Journal of Educational Technology, 2018
Networked technologies have created many learning opportunities and led to new learning models such as massive open online courses (MOOCs). However, MOOCs are an evolving learning model that are even today changing according to learners' needs. First generation cMOOCs and second generation xMOOCs are now being followed by third generation hybrid…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Large Group Instruction
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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
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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
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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
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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
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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
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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
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Lagus, Jarkko; Longi, Krista; Klami, Arto; Hellas, Arto – ACM Transactions on Computing Education, 2018
The computing education research literature contains a wide variety of methods that can be used to identify students who are either at risk of failing their studies or who could benefit from additional challenges. Many of these are based on machine-learning models that learn to make predictions based on previously observed data. However, in…
Descriptors: Computer Science Education, Transfer of Training, Programming, Educational Objectives
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Yang, Jie; DeVore, Seth; Hewagallage, Dona; Miller, Paul; Ryan, Qing X.; Stewart, John – Physical Review Physics Education Research, 2020
Machine learning algorithms have recently been used to predict students' performance in an introductory physics class. The prediction model classified students as those likely to receive an A or B or students likely to receive a grade of C, D, F or withdraw from the class. Early prediction could better allow the direction of educational…
Descriptors: Artificial Intelligence, Man Machine Systems, Identification, At Risk Students
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Thompson, Nik; McGill, Tanya Jane – Educational Technology Research and Development, 2017
This paper details the design, development and evaluation of an affective tutoring system (ATS)--an e-learning system that detects and responds to the emotional states of the learner. Research into the development of ATS is an active and relatively new field, with many studies demonstrating promising results. However, there is often no practical…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Psychological Patterns, Affective Measures
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Chen, Zhi-Hong; Wang, Sheng-Chun – Educational Technology & Society, 2018
Educational agents (including animal companions) are a kind of interface agent, which is a significant component in educational systems, and has great impacts on student learning. However, with the development of emerging technologies (e.g., tangible technology), few studies have yet investigated how tangible technology can be used to combine with…
Descriptors: Animals, Man Machine Systems, Learning Processes, Attention
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Ho, Jeffrey C. F.; Yao, Mike Z. – Journal of Educators Online, 2018
We applied a user interface (UI) design approach based on a constructivist perspective for web-based learning that conceptualizes interactions between learners and websites as conversations. Hyperlinks on the UI of a distributed interactive learning environment were treated as invitations for interaction to encourage learners' active exploration.…
Descriptors: Computer Interfaces, Man Machine Systems, Web Sites, Hypermedia
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Ju, Boryung; Albertson, Dan – Information Research: An International Electronic Journal, 2018
Introduction: This study examines the effects of certain key factors on users' intention to ultimately adopt and use video digital libraries for facilitating their information needs. The individual factors identified for this study, based on their given potential to influence use and acceptance of video digital libraries, were categorised for data…
Descriptors: Electronic Libraries, Video Technology, Use Studies, Users (Information)
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Kumar, Bimal Aklesh; Chand, Sailesh – International Journal of Virtual and Personal Learning Environments, 2018
In order to assist in delivering of courses in distance mode at Fiji National University a mobile learning app was designed and evaluated. The main objective of this app was to provide learning support to learners who are studying in distance mode. The app was designed for android based smart phones and usability study was conducted to evaluate…
Descriptors: Foreign Countries, Computer Oriented Programs, Electronic Learning, Distance Education
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