244,178 research outputs found
Web 2.0 technologies for learning: the current landscape – opportunities, challenges and tensions
This is the first report from research commissioned by Becta into Web 2.0 technologies for learning at Key Stages 3 and 4. This report describes findings from an additional literature review of the then current landscape concerning learner use of Web 2.0 technologies and the implications for teachers, schools, local authorities and policy makers
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks
Self-adaptation solutions need to periodically monitor, reason about, and
adapt a running system. The adaptation step involves generating an adaptation
strategy and applying it to the running system whenever an anomaly arises. In
this article, we argue that, rather than generating individual adaptation
strategies, the goal should be to adapt the control logic of the running system
in such a way that the system itself would learn how to steer clear of future
anomalies, without triggering self-adaptation too frequently. While the need
for adaptation is never eliminated, especially noting the uncertain and
evolving environment of complex systems, reducing the frequency of adaptation
interventions is advantageous for various reasons, e.g., to increase
performance and to make a running system more robust. We instantiate and
empirically examine the above idea for software-defined networking -- a key
enabling technology for modern data centres and Internet of Things
applications. Using genetic programming,(GP), we propose a self-adaptation
solution that continuously learns and updates the control constructs in the
data-forwarding logic of a software-defined network. Our evaluation, performed
using open-source synthetic and industrial data, indicates that, compared to a
baseline adaptation technique that attempts to generate individual adaptations,
our GP-based approach is more effective in resolving network congestion, and
further, reduces the frequency of adaptation interventions over time. In
addition, we show that, for networks with the same topology, reusing over
larger networks the knowledge that is learned on smaller networks leads to
significant improvements in the performance of our GP-based adaptation
approach. Finally, we compare our approach against a standard data-forwarding
algorithm from the network literature, demonstrating that our approach
significantly reduces packet loss.Comment: arXiv admin note: text overlap with arXiv:2205.0435
Investigation of the utilisation of social networks in e-learning at universities
Over the years universities have considered to use social networks for learning purposes as most of their students now engage on them. However, questions on the impact social networks would have on learning and how they can be utilised further for more effective teaching and learning are still unclear. To solve these questions, an in-depth investigation has been conducted to understand the benefits and drawback of social network features available for students. The investigation results show that students strongly believe that social network features will help enhance learning and the key ways of utilising such features have been suggested
Semantics, sensors, and the social web: The live social semantics experiments
The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the Semantic Web, online social networks, and a face-to-face contact sensing platform. It helps researchers to find like-minded and influential researchers, to identify and meet people in their community of practice, and to capture and later retrace their real-world networking activities at conferences. The application was successfully deployed at two international conferences, attracting more than 300 users in total. This paper describes this application, and discusses and evaluates the results of its two deployment
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Seeking togetherness: moving toward a comparative evaluation framework in an interdisciplinary DIY networking project
There is renewed interest in community networks as a mechanism for local neighbourhoods to find their voice and maintain local ownership of knowledge. In a post-Snowden, big data, age of austerity there is both widespread questioning of what happens to public generated data shared over ‘free’ services such as Facebook, and also a renewed focus on self-provisioning where there are gaps in digital service provision. In this paper we introduce an EU funded collaborative project (‘MAZI’) that is exploring how Do-It-Yourself approaches to building community networks might foster social cohesion, knowledge sharing and sustainable living through four pilots across Europe. A key challenge is to develop a shared evaluation approach that will allow us to make sense of what we are learning across highly diverse local situations and disciplinary approaches. In this paper we describe our initial approaches and the challenges we face
Building Programmable Wireless Networks: An Architectural Survey
In recent times, there have been a lot of efforts for improving the ossified
Internet architecture in a bid to sustain unstinted growth and innovation. A
major reason for the perceived architectural ossification is the lack of
ability to program the network as a system. This situation has resulted partly
from historical decisions in the original Internet design which emphasized
decentralized network operations through co-located data and control planes on
each network device. The situation for wireless networks is no different
resulting in a lot of complexity and a plethora of largely incompatible
wireless technologies. The emergence of "programmable wireless networks", that
allow greater flexibility, ease of management and configurability, is a step in
the right direction to overcome the aforementioned shortcomings of the wireless
networks. In this paper, we provide a broad overview of the architectures
proposed in literature for building programmable wireless networks focusing
primarily on three popular techniques, i.e., software defined networks,
cognitive radio networks, and virtualized networks. This survey is a
self-contained tutorial on these techniques and its applications. We also
discuss the opportunities and challenges in building next-generation
programmable wireless networks and identify open research issues and future
research directions.Comment: 19 page
Exploring participatory design for SNS-based AEH systems
The rapidly emerging and growing social networking sites (SNS) offer an opportunity to improve adaptive e-learning
experience by introducing a social dimension, connecting users within the system. Making connections and providing communication tools can engage students in creating effective learning environment and enriching learning experiences.
Researchers have been working on introducing SNS features into adaptive educational hypermedia systems. The next stage research is centered on how to enhance SNS facilities of AEH systems, in order to engage students’ participation in collaborative learning and generating and enriching learning materials. Students are the core participants in the adaptive e-learning process, so it is essential for the system designers to consider students’ opinions. This paper aims at exploring
how to apply participatory design methodology in the early stage of the SNS-based AEH system design process
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