Early Detection of Delayed Graduation in Master's Students
- Conference
- Location
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Virtual Conference
- Publication Date
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July 26, 2021
- Start Date
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July 26, 2021
- End Date
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July 19, 2022
- Conference Session
- Tagged Division
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Graduate Studies
- Page Count
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20
- DOI
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10.18260/1-2--36999
- Permanent URL
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https://strategy.asee.org/36999
- Download Count
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485
Paper Authors
David Ruete
Universidad Andres Bello
orcid.org/0000-0002-7100-9737
David Ruete has the academic training of: Doctor in Multimedia Technologies, Master in Multimedia Technologies, Electronic Civil Engineer and Bachelor of Engineering Sciences.
At present, his position is Director of the School of Engineering of the Andres Bello University, and responsible for the curricular innovation processes of the undergraduate programs of the Faculty of Engineering.
His research area is Educational Management, undergraduate and graduate programs, using predictive models based on machine learning algorithms.
Genaro Zavala
Tecnologico de Monterrey and Universidad Andres Bello
orcid.org/0000-0001-5880-1124
Genaro Zavala is a Full Professor and Director of Undergraduate Studies in the School of Engineering and Sciences at Tecnologico de Monterrey, Monterrey, Mexico. He collaborates with the Faculty of Engineering of the Universidad Andres Bello in Santiago, Chile. Professor Zavala is National Researcher Level 2 of the National System of Researchers of Mexico. He works with the following research lines: conceptual understanding, active learning, development of assessment tools, faculty development and studies in STEM. Genaro Zavala was appointed to the editorial board of the Physical Review Special Topics-Physics Education Research journal of the American Physical Society for the period 2015 to 2018, vice president of the Latin American Physics Education Network (LAPEN) for the period 2013-2015 and is currently the coordinator of the Topical Group: Evaluation of Learning and Instruction of the International Group for Research and Teaching of Physics (GIREP by its French acronym). Dr. Zavala is a member of the American Association of Physics Teachers (AAPT) where he was vice president candidate, a member of the Committee on Research in Physics Education (RIPE) a member and chair of the International Education Committee and elected member of Leadership Organizing Physics Education Research Council (PERLOC) in the period 2015-2018.
Danilo Leal Universidad Andres Bello
Doctor (c) in Statistics, thesis in Spatio-temporal point processes on the sphere, Master in industrial engineering, Master in Management (minor in Finance) and Commercial Engineer, professional experience in evaluation projects, and management control focused on budget control and provides several types of reports. Assistant Professor at the Faculty of Engineering and coordinator of the financial and economic track at Andres Bello University, in Viña del Mar. Excellent interpersonal relationships with a clear focus on achieving results.
Pilar López Lira Universidad Andres Bello
Pilar López Lira has the academic training of: Magister in direction and leadership for educational management and Social Assistant.
Currently, she is a teacher at the Andres Bello University in undergraduate programs such as Ethics, Society and Work, Social Responsibility and Effective Communication, and in graduate programs such as Communication for Management and Managerial Skills.
Her research area is Higher Thinking Skills, in particular, the early detection of levels of Perspective and Abstraction, in students and teachers, through the use of machine learning algorithms.
Lilian Pamela San Martín Medina
Universidad Andres Bello
orcid.org/0000-0002-6563-5838
Margarita Ercilia Aravena Universidad Andres Bello
PhD in Educational Planning and Innovation. Researcher at the Ibero-American Education Research Center. (CIIEDUC). Graduate Academic of the Faculty of Education of the Andrés Bello University (Chile). Initiation projects evaluator, Fondecyt 2019-2020, in addition, she has been an evaluator of high-impact journal articles.
He has developed undergraduate and postgraduate teaching in evaluation for learning, cognitive abilities and institutional self-evaluation in Chilean public and private universities. On the other hand, he has carried out research stays in Spain and Portugal in Higher Thinking Skills and Teaching Evaluation.
Giannina Costa Universidad Andres Bello
PhD in information technology from Atlantic International University, Magister in Computer Science from Andrés Bello University of Chile, Computer Engineer from Federico Santa María Technical University of Chile.
Director of the degree in Computer Civil Engineering and Computer Engineering at the Andrés Bello University, Chile. His research and teaching focuses on information management, and business intelligence.
Abstract
Delayed graduation is a factor of concern at the master's level. There is some information available in the literature on the subject worldwide yet centered on undergraduate programs. However, there is limited research on students at the postgraduate level. Researchers from all universities in Chile and worldwide have discussed delayed graduation as it is a critical consideration for all institutional accreditation processes. For this reason, educators and researchers in institutions are interested in offering strategies to reduce the graduation time by analyzing risk factors students face during their training. This study presents an early detection model based on machine learning to account for graduation delays seen at the master's student graduation process. This article presents a descriptive study that examines the relationship between students' characteristics (gender, age, education program, and qualifications) and program characteristics (program duration, program location, and class schedule) with delayed graduation. The analysis takes a sample of students (1257 records) from the last five years who have completed all program credits for their engineering master's degree and have registered in the final project process. Using descriptive analysis, the study documents the factors that play a crucial role in explaining delayed graduation. The risk factor database includes individual student information such as age, gender, and academic information such as course passing rate, faculty, dropout rate, and graduation time. Study results reveal that students who fail the first subject in their master's thesis tend to increase their graduation time considerably. We found factors affecting delayed graduation, including individual characteristics (gender; with low weight-significance), students' backgrounds (education, pass rate; with high weight-significance), and institutional environment (program type/modality of the program, location; with medium weight-significance). Results indicate that it is necessary to support students to improve their performance. Higher education institutions should use this study's results to develop proactive initiatives (student accompaniment and academic staff accompaniment) that might help reduce students' graduation time.
Ruete, D., & Zavala, G., & Leal, D., & López Lira, P., & San Martín Medina, L. P., & Aravena, M. E., & Costa, G. (2021, July), Early Detection of Delayed Graduation in Master's Students Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36999
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