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Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
The wide availability of specific courses together with the flexibility of academic plans in university studies reveal the importance of Recommendation Systems (RSs) in this area.
Text mining in education
The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others.
Process mining for self-regulated learning assessment in e-learning
We applied a new algorithm in the educational domain called Inductive Miner over the interaction traces from 101 university students in a course given over one semester on the Moodle 2. 0 platform.
Modeling and predicting students' engagement behaviors using mixture Markov models
A pre-requirement for stimulating student engagement lies in the capability to have an approximate representation model for comprehending students' varied (dis)engagement behaviors.
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
Experimental results demonstrate that the proposed MapReduce approach outperforms traditional sequential subgroup discovery approaches, achieving a runtime that is almost constant for different courses.
Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
The aim of this study was to predict university students' learning performance using different sources of data from an Intelligent Tutoring System.
Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in this journal with the title data mining in education.
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
The results showed that the best predictions were produced using ensembles and selecting the best attributes approach with discretized data.
GASTON: Galactic Star Formation with NIKA2. Evidence for the mass growth of star-forming clumps
Here, we present the first results from the Galactic Star Formation with NIKA2 (GASTON) project, a Large Programme at the IRAM 30-m telescope which is mapping $\approx$2 deg$^2$ of the inner Galactic plane (GP), centred on $\ell$=23. 9$^\circ$, $b$=0. 05$^\circ$, as well as targets in Taurus and Ophiuchus in 1. 15 and 2. 00 mm continuum wavebands.
Astrophysics of Galaxies
