The teaching-learning methodology adopted in the Introduction to Computer Science classes may be a process that makes it difficult to understand the principles of programming language for undergraduate students in Computer Science and related areas, generating high failure and course drop out rates. This paper presents an analysis of the results obtained in the Introduction to Computer Science classes taught in Computer Science and Engineering courses at University of Brasília (UnB). The evaluation questionnaire answered by the undergraduate students in 2017 was analyzed, a validation was performed, and we checked the level of students satisfaction in relation to the evaluated subject and the association among the level of satisfaction, the percentage of practical activities of the discipline, student performance and the level of absenteeism.
This paper presents specifications of an artificial intelligent agent to be integrated into an Intelligent Tutoring Systems, applied as a methodology to support teaching and learning of graduate disciplines. This integration involves technological resources from the Artificial Intelligence aiming to model the cognitive status of each learner and use resources that are able to work emotional and affective aspects of motivation in an educational process, making it more pleasant and efficient.
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