Recomendação pedagógica para melhoria da aprendizagem em redações.

Abstract

Online education has grown significantly in recent years throughout the world, becoming a viable option for those who don’t have the time to pursuit traditional technical training or academic degree. In Brazil, people seek to enter higher education through the National Secondary Education Examination (ENEM) and use online education to complement their studies, aiming to remedy gaps in their school formation. The ENEM consists of objective questions (divided into 4 main areas: languages and codes; Mathematics; Social Sciences, and Natural Sciences), and the subjective questions (the essay). According to the Brazilian Department of Education (MEC), more than 50% of the candidates who took the test (ENEM) in 2014, obtained performance below 500 points (out of a 1000 maximum points) for their essays. This research uses educational recommendations based on the five official correction criteria for the ENEM essays, to improve writing. Thus, this research used an experimental tool in an online learning environment called MeuTutor. The mentioned learning environment has an essay writing/correction module. The correction module uses peer evaluation techniques, for which researches show that the results are, significantly, similar to those obtained by specialists’ correction. However, to simply display the scores for the criteria does not guarantee an improvement in students’ writing. Thus, to promote that, an educational recommendation module was added to MeuTutor. It is based on 19 profiles obtained mining data from the 2012 ENEM. It uses the algorithms DBSCAN and K-Means, and grouped the profiles into six blocks, to which a set of tasks were associated to the areas of writing, grammar and coherence, and textual agreement. The validation of these recommendations was made in an experiment with three cycles, where students should: (1) write the essay; (2) evaluate their peers; (3) perform the pedagogical recommendations received. From the analysis of these data, it was found that the strategic model of recommendation used in this study, enabled a measurable gain in quality of textual production.