| Autor: |
Héctor Cancela, Isabel Brito, Luca Cernuzzi, Marcela Genero, Jesús García Molina, Cristian Cechinel, Mario Chacón-Rivas |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
CLEI Electronic Journal, Vol 21, Iss 1, Pp 0:1-0:4 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
0717-5000 |
| DOI: |
10.19153/cleiej.21.1.0 |
| Popis: |
This issue of the CLEIej consists of three main parts: i) a review paper on the state of the art of how contextual information extracted from a user task can help to improve searches for contents relevant to this task; ii) extended and revised versions of Selected Papers (which correspond to the second and third best paper from each track) presented at the XX Ibero-American Conference on Software Engineering (CIbSE 2017), which took place in Buenos Aires, Argentina, in May 2017; and, iii) extended and revised versions of selected papers from LACLO 2016, the XI Latin American Conference on Learning Objects and Technology, which took place in San José, Costa Rica, in October 2016. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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