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 …

[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

J Niyogisubizo, L Liao, E Nziyumva… - … and Education: Artificial …, 2022 - Elsevier
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 …

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 …

Microlearning and nanolearning in higher education: A bibliometric review to identify thematic prevalence in the COVID-19 pandemic and post-pandemic context

O Chamorro-Atalaya, CH Flores-Velásquez… - International Journal of …, 2024 - ijlter.net
The COVID-19 pandemic led to a significant shift towards more innovative teaching
methods, highlighting the need for continuous and flexible learning approaches. Thus, it is …

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 …

[HTML][HTML] Conceptual framework for programming skills development based on microlearning and automated source code evaluation in virtual learning environment

J Skalka, M Drlik, L Benko, J Kapusta… - Sustainability, 2021 - mdpi.com
Understanding how software works and writing a program are currently frequent
requirements when hiring employees. The complexity of learning programming often results …

[PDF][PDF] Improving dropout forecasting during the COVID-19 pandemic through feature selection and multilayer perceptron neural network

S Nuanmeesri, L Poomhiran, S Chopvitayakun… - International Journal of …, 2022 - ijiet.org
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 …

Automated assessment system for programming courses: a case study for teaching data structures and algorithms

ALC Barczak, A Mathrani, B Han, NH Reyes - … technology research and …, 2023 - Springer
An important course in the computer science discipline is 'Data Structures and
Algorithms'(DSA). The coursework lays emphasis on experiential learning for building …

Exploring the role of a microlearning instructional approach in an introductory database programming course: an exploratory case study

R Sankaranarayanan, M Yang, K Kwon - Journal of Computing in Higher …, 2024 - Springer
The purpose of this study is to explore the influence of the microlearning instructional
approach in an online introductory database programming classroom. The ultimate goal of …

Hybrid and blended learning models: innovations, challenges, and future directions in education

R Mulenga, H Shilongo - Acta Pedagogia Asiana, 2025 - tecnoscientifica.com
The rise of hybrid and blended learning models has transformed educational practices,
combining the strengths of in-person and online learning. This review explores recent …