Mostrar el registro sencillo del ítem
Predicting academic performance of university students from multi-sources data in blended learning
| dc.contributor.author | Chango, W. | |
| dc.contributor.author | Cerezo Menéndez, Rebeca | |
| dc.contributor.author | Romero, C. | |
| dc.date.accessioned | 2020-06-26T07:57:22Z | |
| dc.date.available | 2020-06-26T07:57:22Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 9781450372848 | |
| dc.identifier.uri | http://hdl.handle.net/10651/55350 | |
| dc.description | International Conference on Data Science, E-Learning and Information Systems (2nd. 2019. Dubai, United Arab Emirates) | |
| dc.description.sponsorship | This work was funded by the Department of Science and Innovation (Spain) under the National Program for Research, Development and Innovation: project TIN2017-83445-P. We have also received funds from the European Union, through the European Regional Development Funds (ERDF); and the Principality of Asturias, through its Science, Technology and Innovation Plan FC-GRUPIN-IDI/2018/000199. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | DATA '19: Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems | |
| dc.relation.ispartofseries | ACM International Conference Proceeding Series | |
| dc.rights | © 2020 ACM | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077127924&doi=10.1145%2f3368691.3368694&partnerID=40&md5=2e3c7b92fb40b71abdb6b75eccffb11c | |
| dc.title | Predicting academic performance of university students from multi-sources data in blended learning | |
| dc.type | conference output | spa |
| dc.identifier.doi | 10.1145/3368691.3368694 | |
| dc.relation.projectID | FC-GRUPIN-IDI/2018/000199 | |
| dc.relation.projectID | TIN2017-83445-P | |
| dc.relation.publisherversion | http://dx.doi.org/10.1145/3368691.3368694 |
Ficheros en el ítem
| Ficheros | Tamaño | Formato | Ver |
|---|---|---|---|
|
No hay ficheros asociados a este ítem. |
|||