Recomendação de ação pedagógica no ensino de introdução à programação por meio de raciocínio baseado em casos

Abstract

Several students who are new to engineering and science courses have learning difficulties in the introductory programming disciplines, where they begin to develop logical and systematic reasoning and have the first contact with a programming language. In this context, many doubts may arise throughout the teaching and learning process, and if there are no adequate pedagogical actions to support students, some may feel discouraged and therefore may drop out. Thus, contributing to the index of withdrawal and failure of the courses of exact sciences that has in its grid these disciplines. With this, teachers should seek pedagogical approaches to assist these students with learning difficulties. Given this scenario, this work presents a system for the Recommendation of Pedagogical Actions for the teaching of introductory programming disciplines, and employs the Case Based Reasoning (CBR) technique to suggest a pedagogical action, based on a learning problem of the student. To this end, a case base with solutions to learning problems used in the past is explored. The system uses specific attributes that constitute the case, these make up the problem of student learning in the context of programming teaching. The student's learning style is also used as one of the attributes for the formation of the case, in order to provide a personalized pedagogical action for the student. Teachers and students evaluated the system and the results of the experimental tests indicate that the personalized recommendation of pedagogical action through a CBR system is a tool to support promising teaching and learning when employed in an educational environment.