Despite recent advances of electronic technologies in e-learning, a consolidated evaluation methodology for e-learning applications is not available. The evaluation of educational software must consider its usability and more in general its accessibility, as well as its didactic effectiveness. This work is a first step towards the definition of a methodology for evaluating e-learning applications. Specific usability attributes capturing the peculiar features of these applications are identified. A preliminary user study involving a group of e-students, observed during their interaction with an e-learning application in a real situation, is reported. Then, the proposal is put forward to adapt to the e-learning domain a methodology for systematic usability evaluation, called SUE. Specifically, evaluation patterns are proposed that are able to drive the evaluators in the analysis of an e-learning application. © Springer-Verlag 2005

Smart learning environments can be defined as systems aimed at proposing innovative uses of emerging pedagogical approaches and technologies to support effective learning experiences. In the past years, rather than designing and developing even more advanced technological solutions attention has been focused on defining environments that adopt appropriate strategies to sustain student motivation and engagement. Game-based learning and gamification approaches could be a promising solution, since there is much experimental evidence that proves their effect. In this context, our research aims at defining and developing a Smart Learning Environment able to improve engagement and motivation by means of game-based learning and gamification approaches. In particular, the paper presents two serious games that, using the gamification dimensions, aim at sustaining engagement and motivation in learning processes in medical contexts. In particular, the games involve both the patients, who have to acquire knowledge and skills about their disease, in order to become responsible for their choices, and the medical and paramedical staff, who must acquire knowledge and skills about diagnostic procedures, therapeutic interventions and follow-up of patients. Some results of a user test show that the games enhance student motivation and this means improvement also in knowledge acquisition

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The traditional method for learning the multiplication tables is a repetitive and boring task. Teachers try to find new methods to motivate children in this tedious duty, and one of the lines to consider is to integrate en- tertainment into educational processes. This work presents a new multimedia interaction approach in order to allow children to practice these math opera- tions and have fun. The learning process has been gamified by means of two mini-games designed for mobile platforms, based on meromictic or repetitive learning. The genre of these mini-games have been selected according to chil- dren preferences: one turn-based fighting and other throwing-objects game. A series of proposed multiplications have to be solved during the play to per- form the player actions. Moreover, in order to support learning engagement, both have been visualized through Augmented Reality, combining real and virtual reality. This paper discusses the good results of mixing entertainment with some learning tasks, due to the engagement of the children to the mobile based games. A pilot study has been performed in order to evaluate the learn- ing effectiveness and usability of the proposal. Results support that playing the video games makes this tedious multiplication practice more enjoyable and attractive for children so they improve their math skills.

-The education in e-health play an important role in particular in context of chronic diseases. The empowerment process aims at enhancing the patient knowledge and skills in order to allow them to be aware of their health status. The paper presents a serious game that is addressed to young children with type I diabetes and uses the coaching strategy. The coach has been designed and developed as an Intelligent Agent using a knowledge base about the diabetes intervenes to suggest the best action to do or to correct wrong behaviours. A first pilot test was conducted to measure the learning effectiveness and usability of the game. The results were promising.