Sistema colaborativo para avaliação de testes de fluência em larga escala

Abstract

The proper assessment of learning is of paramount importance to an efficient teaching process. Assessments can be done in many different forms depending on what aspects of the learning process are under evaluation. Oral language stands out at the beginning of school life since students at that age have not yet fully developed their written skills, making oral expression fundamental for the development of students as it is the means through which they will receive information, interpret that information, organize their thoughts based on that information and even formulate new ideas. Besides the evaluation of each student individually, there are tests applied on a large scale which aim at data-gathering for obtaining the overall picture of the education system in an given area of knowledge or geographic region in the local or the national level. The results of these assessments allow the decision makers to develop and implement public policies aimed at improving the school system. On the other hand, given the peculiarities of oral language, large-scale tests are usually carried out in written form, completely neglecting competences which are exclusive of oral communication. With that in mind, the present paper introduces the Avalia Online, an automated system designed to evaluate, in large scale, the orality of children in the literacy phase. As it is with any automatic system, Avalia Online has its limitations, nonetheless it uses a collaborative approach that allows trained evaluators to intervene when needed, making the assessment process more reliable as a whole.