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Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
Johnson, L.; Liu, D.; Huang, R.; Adams Becker, S.; Gao, Y.; Cummins, M.; Davis, A.; Estrada, V. – New Media Consortium, 2016
The "2016 NMC Technology Outlook for Chinese K-12 Education: A Horizon Project Regional Report" reflects a collaborative research effort between the New Media Consortium (NMC) and the Smart Learning Institute of Beijing Normal University to inform Chinese school leaders and decision-makers about important developments in technologies…
Descriptors: Foreign Countries, Elementary Secondary Education, Technology Uses in Education, Educational Technology
Waggoner, Matt – Liberal Education, 2013
The Turing era, defined by British mathematician and computer science pioneer Alan Turing's question about whether or not computers can think, is not over. Philosophers and scientists will continue to haggle over whether thought necessitates intentionality, and whether computation can rise to that level. Meanwhile, another frontier is emerging in…
Descriptors: Electronic Learning, Critical Thinking, Artificial Intelligence, Computers
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – International Journal of Artificial Intelligence in Education, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students--explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – Grantee Submission, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students -- explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Meletiadou, Eleni, Ed. – IGI Global, 2023
Recent evolutions, such as pervasive networking and other enabling technologies, have been increasingly changing human life, knowledge acquisition, and the way works are performed and students learn. In this societal change, educational institutions must maintain their leading role. They have therefore embraced digitally enhanced learning to…
Descriptors: Educational Change, Educational Technology, Technology Uses in Education, Student Needs
Delgado, M.; Fajardo, W.; Molina-Solana, M. – International Association for Development of the Information Society, 2013
In the last decades there have been several attempts to use computers in Music Education. New pedagogical trends encourage incorporating technology tools in the process of learning music. Between them, those systems based on Artificial Intelligence are the most promising ones, as they can derive new information from the inputs and visualize them…
Descriptors: Electronic Learning, Computer Software, Music Education, Music Activities
Vu, Phu; Fredrickson, Scott; Meyer, Richard – Online Journal of Distance Learning Administration, 2016
With a dearth of research on human-robot interaction in education and relatively high non-completion rates of online students, this study was conducted to determine the feasibility of using a virtual assistant (VA) to respond to questions and concerns of students and provide 24/7 online course content support. During a 16 week-long academic…
Descriptors: Electronic Learning, Robotics, Online Courses, Feasibility Studies
Rosé, Carolyn Penstein; Ferschke, Oliver – International Journal of Artificial Intelligence in Education, 2016
This article offers a vision for technology supported collaborative and discussion-based learning at scale. It begins with historical work in the area of tutorial dialogue systems. It traces the history of that area of the field of Artificial Intelligence in Education as it has made an impact on the field of Computer-Supported Collaborative…
Descriptors: Online Courses, Computer Mediated Communication, Group Discussion, Cooperative Learning
Kulich, M.; Chudoba, J.; Kosnar, K.; Krajnik, T.; Faigl, J.; Preucil, L. – IEEE Transactions on Education, 2013
E-learning is a modern and effective approach for training in various areas and at different levels of education. This paper gives an overview of SyRoTek, an e-learning platform for mobile robotics, artificial intelligence, control engineering, and related domains. SyRoTek provides remote access to a set of fully autonomous mobile robots placed in…
Descriptors: Robotics, Artificial Intelligence, Electronic Learning, Distance Education
Al-Hmouz, A.; Shen, Jun; Al-Hmouz, R.; Yan, Jun – IEEE Transactions on Learning Technologies, 2012
With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process. This paper presents an Adaptive Neuro-Fuzzy…
Descriptors: Electronic Learning, Blended Learning, Educational Technology, Media Adaptation
Politis, John; Politis, Denis – Electronic Journal of e-Learning, 2016
Online learning is becoming more attractive to perspective students because it offers them greater accessibility, convenience and flexibility to study at a reduced cost. While these benefits may attract prospective learners to embark on an online learning environment there remains little empirical evidence relating the skills and traits of…
Descriptors: Electronic Learning, Synchronous Communication, Integrated Learning Systems, Online Courses
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2020
For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 2 contains 15 papers dealing the practice of instructional technology including instruction and training…
Descriptors: Educational Technology, Technology Uses in Education, Inclusion, Higher Education
New Media Consortium, 2013
The "Technology Outlook for Latin American Higher Education 2013-2018: An NMC Horizon Project Regional Analysis" was released as a collaborative effort between the New Media Consortium (NMC), the Centro Superior para la Enseñanza Virtual (CSEV), and Virtual Educa. This report -- published both in Spanish and English -- will inform…
Descriptors: Higher Education, Technology Uses in Education, Educational Technology, Electronic Learning
Johnson, L.; Adams Becker, S.; Cummins, M.; Estrada, V. – New Media Consortium, 2014
The "2014 NMC Technology Outlook for Australian Tertiary Education: A Horizon Project Regional Report" reflects a collaborative research effort between the New Media Consortium (NMC) and Open Universities Australia to help inform Australian education leaders about significant developments in technologies supporting teaching, learning,…
Descriptors: Foreign Countries, Postsecondary Education, Technology Uses in Education, Educational Technology