scholarly journals Post-Examination Analysis on the Student Dropout Prediction Index

2019 ◽  
Vol 4 (2) ◽  
pp. 175-183
Author(s):  
이지은
Keyword(s):  
Student Dropout

An inevitable crisis? From first to second year in counsellor training

2020 ◽  
Vol 5 (1) ◽  
pp. 74-89
Author(s):  
Hugh Crago
Keyword(s):  
Right Hemisphere ◽  
Training Programme ◽  
First Year ◽  
Training Experience ◽  
Counsellor Training ◽  
Student Dropout ◽  
Second Year ◽  
Neurological Research ◽  
First Year Of Life ◽  
And Control

In a seminal 1973 paper, Robert Clark described the very different “cultures” of the first and second year students in a four year clinical psychology PhD programme. The author applies Clark’s template to his own experiences as trainee or trainer in five different counsellor education programmes, one in the US and four in Australia. Each of the programmes, to varying degrees, demonstrates key features of the pattern identified by Clark, where the first year is “therapeutic” and other-oriented, the second is “professional” and self-focused. The author concludes that all the surveyed programmes exhibited some level of “second year crisis”, in which a significant number of students felt abandoned, dissatisfied, or rebellious. The author extends and refines Clark’s developmental analogy (first year = childhood; second year = adolescence) to reflect recent neurological research, in particular, the shift from a right hemisphere-dominant first year of life, prioritising affiliative needs, to a left hemisphere-dominant second year, prioritising autonomy and control. This shift is paralleled later by a more gradual move from a protective, supportive childhood to necessary, but sometimes conflictual, individuation in adolescence. The first two years of a counsellor training programme broadly echo this process, a process exacerbated by the second year internship/placement, in which students must “leave home” and adjust to unfamiliar, potentially less nurturing, authority figures. Finally, the author suggests introducing more rigorous “academic holding” into the first year, and greater attention to “therapeutic holding” of dissident students in the second, hopefully decreasing student dropout, and achieving a better balanced training experience.

scholarly journals Early Dropout Prediction in MOOCs through Supervised Learning and Hyperparameter Optimization

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1701
Author(s):  
Theodor Panagiotakopoulos ◽  
Sotiris Kotsiantis ◽  
Georgios Kostopoulos ◽  
Omiros Iatrellis ◽  
Achilles Kameas
Keyword(s):  
Online Education ◽  
Online Courses ◽  
Early Stage ◽  
Activity Patterns ◽  
Daily Basis ◽  
Machine Learning Algorithms ◽  
Supervised Machine Learning ◽  
Educational Institutions ◽  
Student Dropout ◽  
Wide Range

Over recent years, massive open online courses (MOOCs) have gained increasing popularity in the field of online education. Students with different needs and learning specificities are able to attend a wide range of specialized online courses offered by universities and educational institutions. As a result, large amounts of data regarding students’ demographic characteristics, activity patterns, and learning performances are generated and stored in institutional repositories on a daily basis. Unfortunately, a key issue in MOOCs is low completion rates, which directly affect student success. Therefore, it is of utmost importance for educational institutions and faculty members to find more effective practices and reduce non-completer ratios. In this context, the main purpose of the present study is to employ a plethora of state-of-the-art supervised machine learning algorithms for predicting student dropout in a MOOC for smart city professionals at an early stage. The experimental results show that accuracy exceeds 96% based on data collected during the first week of the course, thus enabling effective intervention strategies and support actions.

scholarly journals Student dropout at university: a phase-orientated view on quitting studies and changing majors

2021 ◽  
Author(s):  
Lisa Bäulke ◽  
Carola Grunschel ◽  
Markus Dresel
Keyword(s):  
Decision Making ◽  
Information Search ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Final Decision ◽  
Cross Sectional ◽  
Confirmatory Factor Analyses ◽  
Student Dropout ◽  
Regulatory Processes ◽  
Present Cross Sectional Study

AbstractStudent dropout can be conceptualized as a decision-making process, consisting of different phases. Based on previous literature on student dropout, decision-making, and action-phases, we proposed that the process of developing dropout intentions includes the following phases: non-fit perception, thoughts of quitting/changing, deliberation, information search, and a final decision. In the present cross-sectional study, we empirically investigated if the assumed phases can be distinguished from each other, if the phases follow the presumed order, and whether each phase is associated with certain characteristics. Furthermore, we considered a strict separation between quitting studies completely and changing a major. For this purpose, we analyzed data of N = 1005 students (average age of 23.0 years; 53% female; 47% male) from a German University. By using confirmatory factor analyses, we found the supposed factor structure for the different phases concerning both kinds of dropout, quitting studies, and changing majors. In each process, structural equation modelling indicated positive relations between adjoining phases. The factor values correlated to a substantial amount with an assortment of variables associated with student dropout. On a theoretical level, the conception of different phases of student dropout helps to get a better understanding of regulatory processes in the context of student dropout.

scholarly journals Automatic Promotion and Student Dropout: Evidence from Uganda, Using Propensity Score in Difference in Differences Model

2018 ◽  
Vol 7 (2) ◽  
pp. 191 ◽  
Author(s):  
Jeje Moses Okurut
Keyword(s):  
Propensity Score ◽  
Dropping Out ◽  
Probit Regression ◽  
Difference In Differences ◽  
Student Dropout ◽  
Analysis Technique ◽  
Analysis Strategy ◽  
Negative Effect ◽  
And Control ◽  
The Impact

The impact of automatic promotion practice on students dropping out of Uganda’s primary education was assessed using propensity score in difference in differences analysis technique. The analysis strategy was instrumental in addressing the selection bias problem, as well as biases arising from common trends over time, and permanent latent differences between the treated and control groups. Probit regression results indicate a negative effect on the probability of students dropping out, but only at P3. There seems to be no policy effect at P6. Decomposing the effect incidence along school location shows the policy as having had an effect only on P3 students studying in urban schools; otherwise, there is no effect among students at P3 rural, P6 rural or P6 Urban. In terms of the gender component, automatic promotion appears to have had an effect on P3 male and female students and no effect on either sex at P6.

scholarly journals Early Detection of At-Risk Undergraduate Students through Academic Performance Predictors

2017 ◽  
Vol 7 (3) ◽  
pp. 42
Author(s):  
Vikash Rowtho
Keyword(s):  
At Risk ◽  
Academic Performance ◽  
Early Detection ◽  
Undergraduate Students ◽  
At Risk Students ◽  
Regression Analyses ◽  
Linear Discriminant ◽  
Student Dropout ◽  
Performance Predictors ◽  
A New Technique

Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students participated in the study conducted in a Mauritian private tertiary academic institution. Results of regression analyses identified the variables having a significant influence on academic performance. These variables were used in a linear discriminant analysis where 74 percent of the students could be correctly classified into three categories: at-risk, pass or fail. In conclusion, this study has proposed a new technique that can be used by institutions to determine significant academic performance predictors and then identify at-risk students upon whom interventions can be implemented prior to exams to address the problem of dropouts.

scholarly journals Review of some studies on university student dropout in Colombia and Latin America

2013 ◽  
Vol 23 (4) ◽  
pp. 37-46
Author(s):  
Luceli Patiño de Peña ◽  
Angélica María Cardona Pérez
Keyword(s):  
Latin America ◽  
Secondary Education ◽  
Research Paper ◽  
University Student ◽  
Dropping Out ◽  
Paper Study ◽  
Education Policies ◽  
Pedagogical Strategies ◽  
Student Dropout ◽  
University Dropout

A study was developed from the research paper Study of academic mortality, pedagogical strategies, and dropout on dropout levels in Colombia and Latin America in order to identify factors that in some way affect increased dropout, such as admissions exams, vocational guidance, economics, and personal difficulties. We also identified the elements of greatest convergence: causes of dropping out, economic difficulties, students’ personal and family histories, secondary education, and, to a lesser degree, suggested strategies that can be used by universities. Therefore, we can conclude that despite the great diversity of studies, the shortcoming lies in the lack of effective policies curtailing university dropout and lack of support for regional education policies to integrate university, society and State.

scholarly journals Uso de tecnologías de la informática y comunicación (TIC) para disminuir la deserción de egresados en posgrados semipresenciales

2012 ◽  
Vol 4 (2) ◽  
pp. 231-238
Author(s):  
Víctor Hugo Méndez-Estrada ◽  
Zaidett Barrientos Llosa
Keyword(s):  
Costa Rica ◽  
Information And Communication Technologies ◽  
Progress Monitoring ◽  
Communication Technologies ◽  
Scientific Publications ◽  
Master Program ◽  
Student Dropout ◽  
Before And After ◽  
Information And Communication ◽  
Conducting Research

La deserción estudiantil es un problema que los programas de educación superior deben atender con prioridad, dado que provocan inconvenientes a la hora de la acreditación universitaria, son fuente de frustración para los estudiantes y constituyen una pérdida de recursos económicos. El objetivo de este estudio fue determinar si el uso de tecnologías de la informática y comunicación, en su sentido más amplio, permite disminuir la deserción estudiantil en la maestría de Manejo de Recursos Naturales de la Universidad Estatal a Distancia UNED (Costa Rica) y aumenta su calidad y vinculación con las necesidades de la sociedad. Realizamos un análisis comparativo de indicadores de dicha maestría antes del establecimiento de dos medidas y después de ellas. Las medidas de la informática y la comunicación que se aplicaron son: 1) creación de un laboratorio de investigación y 2) generación de bases de datos de seguimiento del avance de los proyectos de investigación de estudiantes. Los periodos analizados van del 2002 hasta finales del 2007 y los acumulados del 2002 hasta finales del 2011. Los indicadores analizados se relacionan con la actividad académica de estudiantes y docentes, y con la proyección hacia la sociedad (medida por las tesis y publicaciones científicas producidas durante esos periodos). Se encontró que en el primer periodo el 61% de los egresados estabaninactivos; mientras que el segundo la inactividad descendió a 17%. La investigación realizada por los profesores pasó de cero a 36%. La proyección a la sociedad pasó de solo tres a 18 tesis, y de cero a 44 publicaciones divulgativas y 18 artículos científicos. Se concluye que las dos medidas de uso de tecnología de la informática y comunicación si apoyan los procesos de enseñanza, ya que disminuye la deserción de egresados y favorece la vinculación del programa con la sociedad.ABSTRACTComputer and communication technologies (ICT) help to reduce attrition in distance graduate education programs. Higher education dropout is a priority problem for university accreditation. It is also a frustration source for students and economic waste. The objective of this study was to determine whether the use of Information and Communication Technologies, in its broadest sense, can: reduce student dropout in the Master Program of Natural Resources Management at the Open University of Costa Rica, UNED, and increases its quality and linkage with society. We performed a comparative analysis of indicators before and after establishing two Information and Communication Technologies’ Innovations: 1) creation of a research laboratory and 2)generation student research project progress monitoring databases. Analyzed periods are: a) 2002 to late 2007 and b) 2002 to late 2011. Analyzed indicators are related to students and professors academic activities and society impact (theses, informative and scientific publications amount). We found that in the first period 61% of graduates were inactive, while in the second period inactivity decreased to 17%. Professors conducting research changed from zero to 36%. Society impact increased from three to 18 theses, and from zero to 44 informative publications and 18 scientific papers. We conclude that the two Information and Communication Technologies’ innovations applied, do support teaching, since attrition decreased and bonding with society increased.

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