2,992,550 research outputs found
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Mobile Learning and the Future of Learning
An interview article with Agnes Kukulska-Hulme, covering the meaning of mobile learning, its relationship to other types of technology-supported learning, the role of students and the impact on teachers. A section of the interview deals with applications in foreign language acquisition and other disciplines. Finally there are reflections on successful implementations, institutional issues, and the role of research in informing practice and policy development
The LAB@FUTURE Project - Moving Towards the Future of E-Learning
This paper presents Lab@Future, an advanced e-learning platform that uses novel Information and Communication Technologies to support and expand laboratory teaching practices. For this purpose, Lab@Future uses real and computer-generated objects that are interfaced using mechatronic systems, augmented reality, mobile technologies and 3D multi user environments. The main aim is to develop and demonstrate technological support for practical experiments in the following focused subjects namely: Fluid Dynamics - Science subject in Germany, Geometry - Mathematics subject in Austria, History and Environmental Awareness – Arts and Humanities subjects in Greece and Slovenia. In order to pedagogically enhance the design and functional aspects of this e-learning technology, we are investigating the dialogical operationalisation of learning theories so as to leverage our understanding of teaching and learning practices in the targeted context of deployment
Machine Learning and the Future of Realism
The preceding three decades have seen the emergence, rise, and proliferation
of machine learning (ML). From half-recognised beginnings in perceptrons,
neural nets, and decision trees, algorithms that extract correlations (that is,
patterns) from a set of data points have broken free from their origin in
computational cognition to embrace all forms of problem solving, from voice
recognition to medical diagnosis to automated scientific research and
driverless cars, and it is now widely opined that the real industrial
revolution lies less in mobile phone and similar than in the maturation and
universal application of ML. Among the consequences just might be the triumph
of anti-realism over realism
The snowflake effect: the future of mashups and learning
Emerging technologies for learning report - Article exploring web mashups and their potential for educatio
Learning fast: broadband and the future of education
Educational institutions have always had a central place in the online age. Before the advent of high-speed broadband, other communications technologies and services also played a big role in education.
University researchers were among the first Australian users of what became known as the Internet. When the domain name system was deployed in the mid-1980s, the .au domain was delegated to Robert Elz at the University of Melbourne. When the Australian Vice-Chancellor’s Committee decided to set up a national communications network to support research, Geoff Huston transferred to its payroll from ANU to work as technical manager for AARNet, whose current chief executive, Chris Hancock, is interviewed by Liz Fell in this issue. When a 56 kbps ARPANET link with Australia was made by NASA and the University of Hawaii via Intelsat in June 1989, the connection was established in Elz’s University of Melbourne laboratory. (Clarke 2004: 31)
In earlier times, the postal service made learning-at-a-distance possible by ‘correspondence’, particularly in remote areas of Australia. Advances in radio communications made it easier and the interactivity more immediate. Television sets and later video cassette and DVD players and recorders made it more visual. The telephone provided a tool of communication for teachers and learners; the best of them understood that most people were both at different times. Then simple low bandwidth tools like email and web browsing provided new ways for students, teachers and their institutions to communicate and distribute and share information. Learning management systems like Blackboard have been widely deployed through the education sector. Information that was once housed in libraries is now available online and social media platforms are providing new ways for students to collaborate. Ubiquitous, faster broadband and mobile access via smartphones and tablets promise further transformations.
 
The learning technologies of the future: technologies that learn?
Higher Education Institutions (HEIs) operate in a borderless and complex environment, abundant in potentially useful information. The Creating Academic Learning Futures (CALF) research project, carried out in partnership by the University of Leicester and University College Falmouth in the UK, involves the development of approaches and tools for structuring and filtering information, in order to facilitate institutional decision-making in participative and creative ways. One of the aims of the CALF project is to involve students in creating and exploring a variety of plausible ‘alternative futures’ for learning and teaching technologies in higher education. This paper discusses some of the issues that are emerging in the course of the research process and presents ideas for the future, grounded in and emergent from ‘student voices’ from the CALF research project. Students expected the technologies of the near future to enable them to become co-creators in their own education processes. The future scenarios imagined the rise of learning technologies which instead of becoming outdated with use, become more valuable as more user-generated content is invested, technologies which are truly learning in that they learn about their users and constantly morph/adapt to their users’ needs. Finally, increasing virtualisation was a recurrent theme across most student-generated scenarios. The paper concludes with a discussion of some of the strengths and limitations of using technologies for involving students in creative activities for generating future scenarios for higher education. The technologies used by the project enabled collaborative creative thinking across a broader spectrum of possibilities about the relationship between the present and the future of higher education
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Innovating for Learning: Designing for the Future of Education
Teaching has moved online as the world has moved online and learning is losing its sense of physical location with the availability of many different options from mobile to MOOC (Massive Open Online Course). The impact of online learning is not confined to distance learning; when a student attends a campus university they are now as likely to meet with their fellow learners virtually as face to face. The education sector has yet to fully adapt to what this means, and indeed there strong signs of a built in resilience from providers, employers and students themselves which may mean an apparent evolution is more likely than a revolution. At the same time, there are some quiet changes underway that mean we should be preparing to innovate for the revolution to come. Some of those changes are considered in work undertaken at The Open University that has been disseminated in a series of Innovating Pedagogy reports. These reports allow the academic authors to be more speculative than is usual practice and engage in considering the future, while remaining based on a view of what is happening in the sector. In particular they adopt a position focused on pedagogy that balances technology-based futurology that can dominate yet fail to resonate with those actually involved in the teaching process. The annual Innovating Pedagogy reports cover 10 topics each, with some deliberate overlap from year to year and development of themes that show innovations moving into teaching practice. This is illustrated by two cases, the impact of MOOCs and the application of learning design and analytics. The development of MOOCs demonstrates the value of reviewing pedagogy that aligns with technology. While the use of learning design and learning analytics demonstrates how improvements in the way we describe our learning processes and the way we understand learner behaviour is helping determine how choices in pedagogy impact on student satisfaction, progression and success
The future of technology enhanced active learning – a roadmap
The notion of active learning refers to the active involvement of learner in the learning process,
capturing ideas of learning-by-doing and the fact that active participation and knowledge construction leads to deeper and more sustained learning. Interactivity, in particular learnercontent interaction, is a central aspect of technology-enhanced active learning. In this roadmap,
the pedagogical background is discussed, the essential dimensions of technology-enhanced active learning systems are outlined and the factors that are expected to influence these systems currently and in the future are identified. A central aim is to address this promising field from a
best practices perspective, clarifying central issues and formulating an agenda for future developments in the form of a roadmap
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