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Gamification is the application of game mechanisms in non-gaming environments with the objective of enhancing user experience. In this paper, we investigate the effectiveness of gamification in educational context, i.e. teaching numeracy at a primary school level. We study the appealing characteristics of engaging computer games from children's point of view, and investigate whether embedding the proposed characteristics into an educational tool enhances children's learning. The main characteristics we identify are levels of difficulties, feedback from the current level, and graphical presentation. They were then embedded into a Java-based open source programme based on "Who wants to be a millionaire" TV show, with the aim of teaching children numeracy (level 5 New Zealand curriculum). Two versions were created: feature enriched game (FEG) with all the features enabled and feature devoid game (FDG) with no extra features. We present the results of an evaluation study done with primary school children (n = 120) over a period of two weeks. The effectiveness of the educational tool was measured using a pre-test and a post-test, as well as other indicators such as the frequency and duration of interaction. Results show that the FEG version was more effective in enhancing children's learning and they found it more engaging.

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This paper considers the prioritised transmission of H.264 layered coded video over wireless channels. For appropriate protection of video data, methods such as prioritised forward error correction coding (FEC) or hierarchical quadrature amplitude modulation (HQAM) can be employed, but each imposes system constraints. FEC provides good protection but at the price of a high overhead and complexity. HQAM is less complex and does not introduce any overhead, but permits only fixed data ratios between the priority layers. Such constraints are analysed and practical solutions are proposed for layered transmission of data-partitioned and SNR-scalable coded video where combinations of HQAM and FEC are used to exploit the advantages of both coding methods. Simulation results show that the flexibility of SNR scalability and absence of picture drift imply that SNR scalability as modelled is superior to data partitioning in such applications.

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