期刊名称：RENOTE : Revista Novas Tecnologias na Educação
电子版ISSN：1679-1916
出版年度：2018
卷号：16
期号：2
DOI：10.22456/1679-1916.89249
语种：English
出版社：CINTED/UFRGS
摘要：Some known problems in the literature are the lack of interest and difficulty of students in Computer Architecture and Organization courses. We analyzed the students' performance in tests and semipresential learning activities in three editions of Introduction to Computer Architecture course from the Computer Engineering program of the Federal University of Pampa. We also analyzed the National High School Exam grades of these students, by knowledge area. The purpose of this study is to identify, through analytical processes using data from the course and grades of the NHSE, the most influential factors in the students’ first and final grades and subsidize the proposal of effective actions to solve the problem of high percentages of students’ failure.
关键词：Learning Analytics; Computer Engineering; Data Mining.
