no code implementations • 13 Feb 2024 • A. Esteban, A. Zafra, C. Romero
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.
no code implementations • 11 Feb 2024 • R. Ferreira-Mello, M. Andre, A. Pinheiro, E. Costa, C. Romero
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.
no code implementations • 11 Feb 2024 • R. Cerezo, A. Bogarin, M. Esteban, C. Romero
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.
no code implementations • 10 Feb 2024 • R. Maqsood, P. Ceravolo, C. Romero, S. Ventura
A pre-requirement for stimulating student engagement lies in the capability to have an approximate representation model for comprehending students' varied (dis)engagement behaviors.
no code implementations • 10 Feb 2024 • J. M. Luna, H. M. Fardoun, F. Padillo, C. Romero, S. Ventura
Experimental results demonstrate that the proposed MapReduce approach outperforms traditional sequential subgroup discovery approaches, achieving a runtime that is almost constant for different courses.
no code implementations • 10 Feb 2024 • W. Chango, R. Cerezo, M. Sanchez-Santillan, R. Azevedo, C. Romero
The aim of this study was to predict university students' learning performance using different sources of data from an Intelligent Tutoring System.
no code implementations • 10 Feb 2024 • C. Romero, S. Ventura
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.
no code implementations • 8 Feb 2024 • W. Chango, R. Cerezo, C. Romero
The results showed that the best predictions were produced using ensembles and selecting the best attributes approach with discretized data.
no code implementations • 21 Jan 2021 • A. J. Rigby, N. Peretto, R. Adam, P. Ade, M. Anderson, P. André, A. Andrianasolo, H. Aussel, A. Bacmann, A. Beelen, A. Benoît, S. Berta, O. Bourrion, A. Bracco, M. Calvo, A. Catalano, M. De Petris, F. -X. Désert, S. Doyle, E. F. C. Driessen, P. García, A. Gomez, J. Goupy, F. Kéruzoré, C. Kramer, B. Ladjelate, G. Lagache, S. Leclercq, J. -F. Lestrade, J. F. Macías-Pérez, P. Mauskopf, F. Mayet, A. Monfardini, L. Perotto, G. Pisano, N. Ponthieu, V. Revéret, I. Ristorcelli, A. Ritacco, C. Romero, H. Roussel, F. Ruppin, K. Schuster, S. Shu, A. Sievers, C. Tucker, E. J. Watkins
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