[PDF][PDF] Clustering algorithms applied in educational data mining
Fifty years ago there were just a handful of universities across the globe that could provide
for specialized educational courses. Today Universities are generating not only graduates …
for specialized educational courses. Today Universities are generating not only graduates …
A hybrid recommender system for e-learning based on context awareness and sequential pattern mining
The rapid evolution of the Internet has resulted in the availability of huge volumes of online
learning resources on the web. However, many learners encounter difficulties in retrieval of …
learning resources on the web. However, many learners encounter difficulties in retrieval of …
Automatic recommendations for e-learning personalization based on web usage mining techniques and information retrieval
The World Wide Web (WWW) is becoming one of the most preferred and widespread
mediums of learning. Unfortunately, most of the current Web-based learning systems are still …
mediums of learning. Unfortunately, most of the current Web-based learning systems are still …
Evaluating recommender systems for technology enhanced learning: a quantitative survey
The increasing number of publications on recommender systems for Technology Enhanced
Learning (TEL) evidence a growing interest in their development and deployment. In order …
Learning (TEL) evidence a growing interest in their development and deployment. In order …
[PDF][PDF] Optimización de la distribución en planta de instalaciones industriales mediante algoritmos genéticos. Aportación al control de la geometría de las actividades
JA Diego Mas - 2020 - riunet.upv.es
Las actividades industriales desarrolladas en entornos competitivos se rigen cada vez más
por los condicionantes de un mercado exigente y selectivo, en el que la eficiencia en el …
por los condicionantes de un mercado exigente y selectivo, en el que la eficiencia en el …
Educational data mining: A systematic review of the published literature 2006-2013
Abstract Educational Data Mining (EDM) is a multidisciplinary field that covers the area of
analyzing educational data using data mining techniques. Since 2008 the first annual …
analyzing educational data using data mining techniques. Since 2008 the first annual …
An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis.
Content personalization in educational systems is an increasing research area. Studies
show that students tend to have better performances when the content is customized …
show that students tend to have better performances when the content is customized …
[PDF][PDF] Hybrid machine learning algorithms for predicting academic performance
P Sokkhey, T Okazaki - Int. J. Adv. Comput. Sci. Appl, 2020 - academia.edu
The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …
informative technologies. In order to facilitate this task, many researchers have focused on …
Practical guidelines for designing and evaluating educationally oriented recommendations
There is a need for designing educationally oriented recommendations that deal with
educational goals as well as learners' preferences and context in a personalised way. They …
educational goals as well as learners' preferences and context in a personalised way. They …
Data mining for adaptive learning in a TESL-based e-learning system
This study proposes an Adaptive Learning in Teaching English as a Second Language
(TESL) for e-learning system (AL-TESL-e-learning system) that considers various student …
(TESL) for e-learning system (AL-TESL-e-learning system) that considers various student …