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Several digital games have been designed over the years to meet educational demands caused by Autism Spectrum Disorder (ASD). This work performs the evaluation of digital educational games for individuals with ASD. To this end, studies related to the education of individuals in ASD were analyzed, as well as digital games used in teaching social interactions and emotions to ASD patients. As a result, baseline issues to evaluate ASD games were proposed, which can be applied in qualitative and quantitative analyzes of ASD games, as well as serve as a guide for the development of new ASD based games.

Cardiac physiology is a basic subject in the curriculum of health Science undergraduate courses, which allow students to understand the functional mechanisms of cardiovascular organs as well as the physiopathology of cardiovascular diseases. The puzzle of cardiac cycle has been developed to help students to understand and integrate the concepts of morphology and physiology of normal and pathological states of the heart. Considering the good acceptance of the printed puzzle by students and professors, its online version has been developed as a digital educational tool. The aims of this work were to describe the development of the online digital version of this educational game and to evaluate the students’ perception of the utility of the digital game for their learning. The digital version was developed using the figures and answers of the original printed cardiac cycle puzzle, including stages 1 and 2, in three languages: Portuguese, English and Spanish. The digital version was tested by professors of Physiology from different university institutions for validation. The final version of game was used in remote teaching in three courses in the health area, during the COVID-19 pandemic. The opinion of students about the usefulness of the game activity for their learning was analyzed by using a survey. In the opinion of participants in this study, the activity with the online digital version of the cardiac cycle puzzle was useful for their learning.

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Feature modeling is a key technique for capturing and explicit documenting the software product line variability. Object Oriented (00) concepts have been frequently used to encapsulate and reuse software resources in large scale systems. To improve the possibilities of combination and derivation between distinct feature models, this paper defines the Object Oriented Feature Modeling (OOFM) approach. It is a combination of Object Oriented concepts and Feature Modeling techniques that allows the declaration of feature classes and its derivation methods, and the instantiation of feature objects with their encapsulated informations. As a result, the integration and the production of multiple product lines, by the definition of feature frameworks, combining distinct feature classes according to the domain interest, can be applied.