The Role of ICT in Supporting Students at Risk for Academic Literacies in Higher Education

2021 ◽  
pp. 73-87
Keyword(s):  
Higher Education ◽  
At Risk ◽  
Academic Literacies ◽  
Students At Risk

scholarly journals Planes padrino en instituciones como mecanismo de deserción

2016 ◽  
Vol 7 (1) ◽  
pp. 141
Author(s):  
Gladys Amanda Portilla-Peña ◽  
Yuleima Agudelo-González
Keyword(s):  
Higher Education ◽  
At Risk ◽  
Young People ◽  
Financial Support ◽  
Students At Risk ◽  
Academic Factors ◽  
Economic Support ◽  
Quantitative Correlational ◽  
First Time

ResumenLa investigación se desarrolló en el marco de la investigación cuantitativa, correlacional, explicativa. Su objetivo fue analizar el proyecto “plan padrino” con el sector productivo de la región para estimular el apoyo económico a estudiantes en riesgo de deserción. Resultados: un 50% de los jóvenes que ingresan por primera vez y son apadrinados desertan por otras causas. La deserción disminuyó por año apoyada de factores académicos. Conclusión: El plan padrino permitió estudiar entre 1 y 4 jóvenes por semestre, no tuvo relevancia significativa en la deserción de las instituciones de educación superior.Palabras clave: apoyo económico, deserción, Plan padrino.AbstractThe research was developed within the framework of quantitative, correlational, explanatory research. Its objective was to analyze the project “padrino plan” with the productive sector of the region to stimulate the economic support to students at risk of desertion. Results: 50% of the young people who enter for the first time and are sponsored deserted for other causes. Dropout declined each year supported by academic factors. Conclusion: The sponsor plan made it possible to study between 1 and 4 young people per semester. It did not have significant relevance in the desertion of higher education institutions.keywords: Dropout, financial support, Sponsor plan.

scholarly journals Comparative Analysis for Boosting Classifiers in the Context of Higher Education

2020 ◽  
Vol 15 (10) ◽  
pp. 16
Author(s):  
Eslam Abou Gamie ◽  
Samir Abou El-Seoud ◽  
Mostafa A. Salama
Keyword(s):  
Higher Education ◽  
At Risk ◽  
Prediction Accuracy ◽  
Learning Systems ◽  
Divide And Conquer ◽  
Machine Learning Techniques ◽  
Students At Risk ◽  
Data Set ◽  
Electronic Learning ◽  
Divide And Conquer Algorithm

Machine learning techniques are applied on higher education data for analyzing the interac-tion between the students and electronic learning systems. This type of analysis serves in predicting students’ scores, in alerting students-at-risk, and in managing the degree of stu-dent engagement to educational system. The approaches in this work implements the divide and conquer algorithm on feature set of an educational data set to enhance the analysis and prediction accuracy. It divides the feature set into a number of logical subgroups based on the problem domain. Each subgroup is analyzed separately and the final result is the combi-nation of the results of the analysis of these subgroups. The classifier that shows the best prediction accuracy is dependent on the logical non-statistical nature of the features in each group. Both traditional and boosting classifiers are utilized on each dataset, from which a comparison is conducted to show the best classifiers along with the best dataset. This ap-proach provides the possibility to apply a brute force algorithm in the selection of the best feature subgroups with a low computational complexity. The experimental work shows a high prediction accuracy of the students-at-risk relative to the current research, and provides a list of new important features in the field of electronic learning systems.

The Role of HEIs in Creating Social Academic Entrepreneurial Ecosystems

2022 ◽  
pp. 70-86
Author(s):  
Mehwish Raza
Keyword(s):  
Social Sciences ◽  
Higher Education ◽  
At Risk ◽  
Social Development ◽  
Academic Entrepreneurship ◽  
Quadruple Helix ◽  
Entrepreneurial Education ◽  
Social Sciences And Humanities ◽  
Quadruple Helix Model

The possibility of infusing entrepreneurship into higher education has incited much enthusiasm globally. A sub-domain of entrepreneurial education lies within the scope of social development and recognized as social academic entrepreneurship (SAE) education. Analysis of SAE intention at HEIs is scarce in Pakistan, and this pioneer study systematically analyzes key tenants of SAE including institutional factors, role of faculty and leadership, and strategic inclination to sustain SAE ecosystem within the faculties of social sciences and humanities at a liberal art university in Pakistan. The questionnaire is built on Hindle bridge framework and quadruple helix model for innovation. Results indicate that the study sample is at risk of exhibiting effective SAE and outlines strategies for mindfully curating a trajectory towards SAE education.

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