|Foresight is a group within the Government Office for Science which examines scientific and other evidence to help government plan systematically and make policy decisions for the future. The Land Use Futures proj|
The Impact of mobile learning
Phase one of MoLeNET (2007/08) involved 75 colleges and 18 schools, approximately 10,000 learners and 2,000 staff, in 32mobile learning projects. The Learning and Skills Council provided funding for h...
This course is an introduction to the analysis phase for the design of compilers.
Learning to work and working to learn in 2025
This Paper presents the Learnovation vision for 2025 within and around the world of work and combining features of formal, non-formal and informal learning, i.e.: Inter-organisational learning, e-Learning at the workplace and Professional learning networks. Such territories can be represented graphically according to their position in a continuum ranging from individual initiative to learn to coordinated organisational initiatives. This continuum reflects a great differentiation in e-learnin
Trasnport introduction, Industrial handling, Belt conveyors, Screw conveyors, Bucket elevators, Powered industrial trucks, Cranes, Passenger train operations and Traffic engineering
Social Software for Professional Learning:
Examples and Research Issues
Life-long learning is a key issue for our knowledge society. With social software systems new heterogeneous kinds of technology enhanced informal learning are now available to the life-long learner. Learners outside of learning institutions now have access to powerful social communities of experts and peers who are together forging a new web 2.0. This paper reviews current work in pan-European initiatives that impact upon life-long learning via views of professional learning, learner competence
An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational Sy
The definition of effective pedagogical strategies for coaching and tutoring students according to their needs is one of the most important issues in Adaptive and Intelligent Educational Systems (AIES). The use of a Reinforcement Learning (RL) model allows the system to learn automatically how to teach to each student individually, only based on the acquired experience with other learners with similar characteristics, like a human tutor does. The application of this artificial intelligence techn
Statistical Reasoning I
Statistical Reasoning in Public Health provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions.
DSTM: a Framework to Operationalize and Refine a Problem-Solving Method modeled in terms of Tasks an
In this paper we present DSTM, a framework that enables the operationalization and the refinement of problem-solving methods modelled within the TaskMethod paradigm. DSTM proposes an operational kernel, i.e. operational but flexible high-level constructions: modelling primitives, such as task or method, and manipulation mechanisms, such as select a method. These constructions can be customized in order to better capture the paper-based model to be operationalized. This permits the construction
Future Potential of ICT Implementation in University Education in Jordan
The emerging information and communication technology (ICT) has become a strategic alternative for universities all over the world to enhance learning and deliver both quantity and quality programs. The status of ICT infrastructure in Jordan is investigated through a number of core indicators to identify the underlying factors which emerge as serious obstacles to the progress of university eEducation. Findings show that Jordan has made a good progress in international ranking in both the network
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