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Gamification is the use of game design elements to enhance the teaching-learning process and turn a regular, non-game activity into a fun, engaging game. Simultaneously, serious games are proposed as an efficient and enjoyable way of conducting cognitive assessment, as they combine a serious intention with game rules and targets. In this scenario, game engines have emerged as information technologies for serious games and educational games development; however, this development has usually been performed without a guide to identifying game attributes to be present in the game. To address this gap, we present an analysis of the most used game engines to identify game and learning attributes supported for serious and educational games development. Findings from this analysis provide a guide of the most popular game engines that offer the largest support for game attributes, which were also classified by game categories.

We present Fermat, an Intelligent Social Network for Mathematics Learning, which integrates an Intelligent Tutoring System as an extra feature to help students to improve the teaching and learning process. The intelligent tutor takes into account both cognitive and affective aspects. The social network and the affective tutoring systems are accessed from the web. Initial results in math show the benefits of using the tutoring system besides the all-known benefits of using a social network as the user interface.