[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization
Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …
but also the former school, family, and society in general. With the current development of …
Características del diseño de estrategias de microaprendizaje en escenarios educativos: revisión sistemática
V Betancur Chicué… - … de educación a …, 2023 - gredos.usal.es
[ES] El microaprendizaje (MA) como estrategia de formación ha sido utilizado en diferentes
ámbitos por el formato que ofrece basado en contenidos de corta duración dispuestos en …
ámbitos por el formato que ofrece basado en contenidos de corta duración dispuestos en …
Towards predicting student's dropout in university courses using different machine learning techniques
J Kabathova, M Drlik - Applied Sciences, 2021 - mdpi.com
Featured Application The found model with the best values of the performance metrics,
found as the result of comparing several machine learning classifiers, can identify students …
found as the result of comparing several machine learning classifiers, can identify students …
Microlearning in diverse contexts: A bibliometric analysis
R Sankaranarayanan, J Leung, V Abramenka-Lachheb… - TechTrends, 2023 - Springer
In recent years, publications on microlearning have substantially increased, as this topic has
received extensive attention from scholars in the instructional design and technology …
received extensive attention from scholars in the instructional design and technology …
[PDF][PDF] Improving dropout forecasting during the COVID-19 pandemic through feature selection and multilayer perceptron neural network
Nowadays, online education in universities is mature from the situation of COVID-19 spread.
It has greatly changed the learning environment in the classroom and has also resulted in …
It has greatly changed the learning environment in the classroom and has also resulted in …
Conceptual framework for programming skills development based on microlearning and automated source code evaluation in virtual learning environment
Understanding how software works and writing a program are currently frequent
requirements when hiring employees. The complexity of learning programming often results …
requirements when hiring employees. The complexity of learning programming often results …
Microlearning: innovaciones instruccionales en el escenario de la educación virtual
El microlearning hace referencia a un aprendizaje breve, conciso, frecuentemente digital y
móvil; por su versatilidad en medios y formatos, así como por las posibilidades de …
móvil; por su versatilidad en medios y formatos, así como por las posibilidades de …
Automated assessment system for programming courses: a case study for teaching data structures and algorithms
An important course in the computer science discipline is 'Data Structures and
Algorithms'(DSA). The coursework lays emphasis on experiential learning for building …
Algorithms'(DSA). The coursework lays emphasis on experiential learning for building …
Implementation of a predictive information system for university dropout prevention
S Guzmán-Castillo, F Körner, JI Pantoja-García… - Procedia Computer …, 2022 - Elsevier
The dropout of university students is one of the topics of a broad interest in higher education
institutions and government education departments. Recent changes in education methods …
institutions and government education departments. Recent changes in education methods …
Predicting the impact of academic key factors and spatial behaviors on students' performance
Quality education is necessary as it provides the basis for equality in society. It is also
significantly important that educational institutes be focused on tracking and improving the …
significantly important that educational institutes be focused on tracking and improving the …