{"title":"Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses","authors":"Raphael Magalhães Hoed, Marcelo Ladeira, Leticia Lopes Leite","doi":"10.1186/s13173-018-0074-2","DOIUrl":null,"url":null,"abstract":"This paper presents a study of rates of dropout from Brazilian degree courses, based on data provided by the National Institute for Educational Studies and Research “Anísio Teixeira” (INEP) and a case study carried out at the University of Brasilia (UnB). Dropout was calculated by tracking the status of each student between 2010 and 2014 in the eight major areas according to the classification of the Organisation for Economic Co-operation and Development (OECD), for the major area of Science, Mathematics, and Computing, and for the area of Computing. Data were analyzed in order to check for potential evidence regarding the influence on dropout of factors such as algorithmic abstraction, number of applicants per place, or the gender of students. A survey was also performed using online questionnaires for circumvented students from the courses of Bachelor of Computer Science, Degree in Computing, and Computer Engineering between 2005 and 2015. This survey revealed the influence on dropout of several factors and particularly institutional and vocational factors; it is clear that difficulties in algorithmic abstraction and mathematical knowledge influence rates of dropout from computing courses.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Brazilian Computer Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13173-018-0074-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a study of rates of dropout from Brazilian degree courses, based on data provided by the National Institute for Educational Studies and Research “Anísio Teixeira” (INEP) and a case study carried out at the University of Brasilia (UnB). Dropout was calculated by tracking the status of each student between 2010 and 2014 in the eight major areas according to the classification of the Organisation for Economic Co-operation and Development (OECD), for the major area of Science, Mathematics, and Computing, and for the area of Computing. Data were analyzed in order to check for potential evidence regarding the influence on dropout of factors such as algorithmic abstraction, number of applicants per place, or the gender of students. A survey was also performed using online questionnaires for circumvented students from the courses of Bachelor of Computer Science, Degree in Computing, and Computer Engineering between 2005 and 2015. This survey revealed the influence on dropout of several factors and particularly institutional and vocational factors; it is clear that difficulties in algorithmic abstraction and mathematical knowledge influence rates of dropout from computing courses.
期刊介绍:
JBCS is a formal quarterly publication of the Brazilian Computer Society. It is a peer-reviewed international journal which aims to serve as a forum to disseminate innovative research in all fields of computer science and related subjects. Theoretical, practical and experimental papers reporting original research contributions are welcome, as well as high quality survey papers. The journal is open to contributions in all computer science topics, computer systems development or in formal and theoretical aspects of computing, as the list of topics below is not exhaustive. Contributions will be considered for publication in JBCS if they have not been published previously and are not under consideration for publication elsewhere.