Towards a New Platform Based on Learning Outcomes Analysis For Mobile Serious Games Nowadays, learning via smartphones has become one of the most popular teaching tools used by young people, thanks to the ease of use of such devices in the field of education. There are now a large number of both instructional applications and mobile serious games MSGs which are available in mobile applications stores. The diversity of such applications especially MSGs can guarantee a personalized learning experience for each learner. However, it is difficult to decide if a given MSG is efficient or not because this decision depends on several factors. One of those major factors is their ability to transmit knowledge effectively to the learners, in order to teach them new skills. This ability can be measured and then analyzed by using several techniques and algorithms like learning analytics, educational data mining, inference knowledge e.g. Bayesian Knowledge Tracing, etc. Hence the need for the establishment of a userfriendly platform based on these algorithms, the proposed platform will be able to evaluate easily the learning outcomes of this kind of video games.

Retrieval of Relevant Data for Measuring the Impact of SpacedRepetition Algorithms on the Learning Success in Mobile Learning Games This paper presents an approach on how to retrieve relevant data from a huge set of gamedata in order to find evidence for the impact of using spacedrepetition algorithms on the learning success in a mobile learning game. After having collected approximately 12 million sets of playing data, the database needs to be preprocessed before analyzing it in order to filter out any data that is irrelevant or useless for our analysis or may even dilute its results. One structured and established way to do this is to follow the KDD process, which includes several consecutive steps of consolidating the available data, with preprocessing it being one of them. In order to be able to define the data were are looking for, we set up some proposals about how the relevant data should look like and how to retrieve it from our database.