Applying machine learning technologies to explore students' learning features and performance prediction

YS Su, YD Lin, TQ Liu - Frontiers in Neuroscience, 2022 - frontiersin.org
To understand students' learning behaviors, this study uses machine learning technologies
to analyze the data of interactive learning environments, and then predicts students' learning …

An exploration of factors linked to academic performance in PISA 2018 through data mining techniques

A Gamazo, F Martínez-Abad - Frontiers in Psychology, 2020 - frontiersin.org
International large-scale assessments, such as PISA, provide structured and static data.
However, due to its extensive databases, several researchers place it as a reference in Big …

[HTML][HTML] La evaluación formativa del aprendizaje en el aula en la bibliografía en inglés y francés: Revisión de literatura

F Martínez Rizo - Revista mexicana de investigación educativa, 2012 - scielo.org.mx
El uso de pruebas en gran escala para evaluar el aprendizaje se ha extendido en el plano
internacional y muchos sistemas educativos nacionales. Las autoridades educativas y …

Acquiring, analyzing and interpreting knowledge data for sustainable engineering education: an experimental study using YouTube

Z Kanetaki, C Stergiou, G Bekas, S Jacques… - Electronics, 2022 - mdpi.com
With the immersion of a plethora of technological tools in the early post-COVID-19 era in
university education, instructors around the world have been at the forefront of implementing …

Supporting academic decision making at higher educational institutions using machine learning-based algorithms

Y Nieto, V García-Díaz, C Montenegro, RG Crespo - Soft Computing, 2019 - Springer
Decisions made by deans and university managers greatly impact the entire academic
community as well as society as a whole. In this paper, we present survey results on which …

A study on feature selection techniques in educational data mining

M Ramaswami, R Bhaskaran - arXiv preprint arXiv:0912.3924, 2009 - arxiv.org
Educational data mining (EDM) is a new growing research area and the essence of data
mining concepts are used in the educational field for the purpose of extracting useful …

Recommender system for big data in education

S Dwivedi, VSK Roshni - 2017 5th National Conference on E …, 2017 - ieeexplore.ieee.org
With the advent of web based e-learning systems, a huge amount of educational data is
getting generated. These massive data gave rise to Big data in educational sectors …

Exploring the relationship between novice programmer confusion and achievement

DMC Lee, MMT Rodrigo, RSJ Baker, JO Sugay… - Affective Computing and …, 2011 - Springer
Using a discovery-with-models approach, we study the relationships between novice Java
programmers' experiences of confusion and their achievement, as measured through their …

Applying educational data mining to explore viewing behaviors and performance with flipped classrooms on the social media platform Facebook

YS Su, CF Lai - Frontiers in Psychology, 2021 - frontiersin.org
In recent years, learning materials have gradually been applied to flipped classrooms.
Teachers share learning materials, and students can preview the learning materials before …

[PDF][PDF] Las historias de vida y construcción de identidades profesionales

A Bolívar - A nova aventura (auto) biográfica, 2016 - ugr.es
“La historia de la vida se convierte, de este modo, en una historia contada […]. El relato
configura el carácter duradero de un personaje, que podemos llamar su identidad narrativa …