Uma linguagem de padrões semanticamente relacionados para o design de sistemas educacionais que permitam coautoria

The adequacy of educational content considering student ́s culture, knowledge and values allow them to identify the relationship between what they are learning and their reality and, consequently they feel more interested and engaged at education. In contrast, in informatics at education, designing educational systems to allow adequacy is a challenge because of a lack of techniques to support the design and the difficulty to identify what and how allow this adequacy by users, because many users of these systems, as educators and students, do not have knowledge of designing. In this context, it is presented here a formalization of the design pattern with successful solutions for recurrent problems on designing co-authorship systems analyzed and/or experienced by the researcher of this dissertation during design and evaluations of these systems at Advanced Interaction Laboratory (LIA). These patterns intend to support designing of educational systems that allow users, as co-authors, adequate these systems, inserting the content to be displayed at them. Each pattern describes specific problem and solution. In order to support indentifying how these patterns are organized to each other, semantic relations defined by Minsky are adopted to organize them based on humans ́ intellectual structure. Validations with different participants ́ profiles, e.g., with or without knowledge about concepts related to design, software engineering, human-computer interaction, co-authorship, etc., were done to formalize, refine and observe the comprehension and/or application of these patterns to design co-authorship system prototypes, as well as, different participants from mathematic or pedagogy areas and teachers to validate the use these of these prototypes. The results shown that the pattern language is comprehensible and it supports designing to define what and how to display on interface to allow and help users insert content.