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Many websites remain inaccessible for people with disabilities, despite the availability of relevant guidelines and tools. This is mainly due to lack of appropriate training of Web designers on accessibility technology. In this paper, a project based learning activity designed to instruct Web accessibility guidelines and good design practices is presented. The activity is mediated by a web-based learning environment, which presents real-world examples of accessibility impasses that arise when certain, established guidelines are violated, and then provides advice on how to avoid or resolve them. The learning material contained in the tool is offered through a faceted browsing approach, thus enabling active exploration by the learner. A within-subjects case study compared the learning effectiveness of traditional academic instruction (pre-condition) with the proposed project based activity (postcondition) in the context of a University course. A significant improvement in students' academic performance and perceived learning was found.

dimension corresponds to the number of input variables. of the deterministic multiplayer perceptron (MLP) model of the reconstructed time series [61, [7].A new approach to short-term load forecasting (STLF) in power systems is described in this paper. The methodThe MLP has been trained and then has been used for uses a chaotic time series and artificial neural network.load forecasting in Greek Electric Power System. The paper describes chaos time series analysis of daily The paper is organized as follows: in the next section power system peak loads. Nonlinear mapping of restoring the chaotic time series is considered. Then, in deterministic chaos is identified by multiplayer Section 111, it is explained how to use the so-called perceptron (MLP). Using embedding dimension and correlation dimension in order to determine the delay time, an amactor in pseudo phase plane and an embedding dimension of the time series. In Section IV is ANN model trained by this amactor are constructed. The shown how to use the Lyapunov s p e c " analysis and proposed approach is demonstrated by an example. more specially the largest Lyapunov exponent for determining the embedded dimension. In Section V, following the data for Greek Electric Power System, some experiment results are given. Some conclusions are made in the lasf section'

Multilayer perceptron (MLP) network and Elman neural network have been compared in electric load forecasting. The electric load profile is considered as a time series and it has been shown that Elman network models load in an electric time power utility better than MLP network.

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