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Rodrigo Duran; Silvia Amélia Bim; Itana Gimenes; Leila Ribeiro; Ronaldo Celso Messias Correia – ACM Transactions on Computing Education, 2023
"Motivation": Enrollments in Brazilian computing degrees are at an all-time high, but graduation numbers have not increased at the same rate. Moreover, enrollment growth has mainly attracted male students, steadily expanding the gender gap in Brazilian computing programs. Such high attrition rates have a great economic impact and may…
Descriptors: Foreign Countries, Academic Persistence, Intention, Dropout Characteristics
Gutierrez-Pachas, Daniel A.; Garcia-Zanabria, Germain; Cuadros-Vargas, Alex J.; Camara-Chavez, Guillermo; Poco, Jorge; Gomez-Nieto, Erick – Education Sciences, 2022
Computer science is a dynamic field of study that requires constant review and updating of the curricular designs in academic programs--in general, measuring the impact of plan changes has been little explored in the literature. In most cases, it focuses only on structuring its curricula, leaving aside several factors associated with important…
Descriptors: Curriculum Design, Educational Change, Computer Science Education, Case Studies
Neves, Vania de Oliveira; Morita Melo, Silvana; Viana, Davi; Pereira dos Santos, Rodrigo; Graciano Neto, Valdemar Vicente – IEEE Transactions on Education, 2023
Contribution: The main contribution of this study is to gather and report on the challenges faced by IS courses based on the professors' perspectives. Background: Information systems (ISs) area focuses on the interplay among people, processes/organizations, and technologies. As such, stimulating technical and nontechnical competencies are required…
Descriptors: Foreign Countries, Information Systems, Computer Science Education, Undergraduate Students
Peace Buhwamatsiko Tumuheki; Jacques Zeelen; George Ladaah Openjuru – Journal of Adult and Continuing Education, 2024
Liberalisation of higher education in Uganda meant opening its provision to the private sector, and also running a public-private mix model at public institutions. Consequently, the composition and needs of the student population at universities have changed due to flexibility in provision of study programmes and access routes. Students who had…
Descriptors: Lifelong Learning, Nontraditional Students, Foreign Countries, Equal Education
Alvarez, Niurys Lázaro; Callejas, Zoraida; Griol, David – Journal of Technology and Science Education, 2020
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…
Descriptors: Foreign Countries, College Students, Computer Science Education, Engineering Education
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
Canedo, Edna Dias; Santos, Giovanni Almeida; Leite, Leticia Lopes – Informatics in Education, 2018
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…
Descriptors: Teaching Methods, Introductory Courses, Programming, Programming Languages
Varga, Erika B.; Sátán, Ádám – Hungarian Educational Research Journal, 2021
The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…
Descriptors: Identification, At Risk Students, Computer Science Education, Undergraduate Students
Schoeffel, Pablo; Ramos, Vinicius F. C.; Cechinel, Cristian; Wazlawick, Raul Sidnei – Informatics in Education, 2022
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation.…
Descriptors: Student Motivation, Computer Science Education, Factor Analysis, Student Attitudes
Sharpe, Andrés Santos – International Journal of Higher Education, 2019
This paper is derived from a field study in the framework of my doctoral dissertation, in which we analyze life stories (Bertaux, 2005) of young people who have discontinued their studies at the University of Buenos Aires (UBA) in four courses with a high rate of dropout between the years 2005-2015: Computer Engineering, Anthropological Sciences,…
Descriptors: Higher Education, Dropouts, Educational Experience, Personal Narratives
Jimenez, Fernando; Paoletti, Alessia; Sanchez, Gracia; Sciavicco, Guido – IEEE Transactions on Learning Technologies, 2019
In the European academic systems, the public funding to single universities depends on many factors, which are periodically evaluated. One of such factors is the rate of success, that is, the rate of students that do complete their course of study. At many levels, therefore, there is an increasing interest in being able to predict the risk that a…
Descriptors: Prediction, Risk, Dropouts, College Students
Change in Order Not to Change: Ultraorthodox Hasidic Women's Experience in Studying Computer Science
Kolikant, Y. Ben-David; Genut, S. – Computer Science Education, 2023
Background and Context: In line with interest in recruiting underrepresented groups to CS studies, our study dealt with Israeli Hasidic young women who successfully studied CS at an academic institute. Objective: We investigated what factors governed Hasidic young women's decision to enrol in a CS program and shaped their studying experience.…
Descriptors: Computer Science Education, Womens Education, Females, Jews
Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
Wainer, Jacques; Xavier, Eduardo C. – ACM Transactions on Computing Education, 2018
We performed a controlled experiment comparing a C and a Python Introductory Programming course. Three faculty members at University of Campinas, Brazil, taught the same CS1 course for the same majors in two different semesters, one version in Python and one in C, with a total of 391 students involved in the experiment. We measured the dropout…
Descriptors: Foreign Countries, Computer Science Education, Introductory Courses, Programming
Lagesen, Vivian Anette; Pettersen, Ivar; Berg, Line – European Journal of Engineering Education, 2022
This paper address how we may understand inclusion strategies designed to reduce the gender gap in higher education in engineering and ICT engineering in particular. Based on a case study of a long-term inclusion effort and statistics on recruitment and retainment, we argue that inclusion initiatives which address important inclusion needs and put…
Descriptors: Females, Engineering Education, Computer Science Education, Inclusion