Algorithmic Abstraction and Mathematical Knowledge on Rates of Dropout from Computing Degree Courses | Chapter 2 | Novel Research Aspects in Mathematical and Computer Science Vol. 5

Based on information provided by INEP and a case study completed at the University of Brasilia (UnB), the overall goal of the present study was to examine dropout from Brazilian computing degree courses. A student was deemed to have circumvented the system if they "disengage[d] from the course for any reason other than degree attainment." In order to examine potential relationships between dropout rates from courses in the major fields of Science, Mathematics, and Computing, as well as possible correlations between the number of applicants per opening, the impact of gender, and requirements for algorithmic abstraction and mathematical proficiency, dropout rates from these courses were examined. The Organisation for Economic Co-operation and Development (OECD) has identified eight important categories for classification, along with the field of computing, and these areas were used to calculate dropout between 2010 and 2014. The analysis of the data looked for any indication that variables like algorithmic abstraction, the number of applications per opening, or the gender of the students had an effect on dropout rates. Although the present study is limited in its ability to draw general conclusions about such a broad and complicated topic, it does offer some evidence for the impact of prerequisites for mathematical proficiency and algorithmic abstraction on students' decision to leave computing degree programmes. The poll of evaded students was conducted in a public university, it should be underlined (UnB).

Author (s) Details:

Raphael Magalhães Hoed,

Federal Institute of Education, Science and Technology of Northern Minas Gerais (IFNMG), Farm São Geraldo, Kilometer 06, Januária, MG CEP 39480-000, Brazil.

Marcelo Ladeira,

Department of Computer Science, University of Brasilia (UnB), CP 4466, Brasília, DF CEP 70919-970, Brazil.

Leticia Lopes Leite,

Department of Computer Science, University of Brasilia (UnB), CP 4466, Brasília, DF CEP 70919-970, Brazil.

Please see the link here: https://stm.bookpi.org/NRAMCS-V5/article/view/7479