Enhanced affective factors management for HEI students dropout prevention

Emmanuelle Gutiérrez Y Restrepo, Fernando Ferreira, Jesús G. Boticario, Elsa Marcelino-Jesus, Joao Sarraipa, Ricardo Jardim-Goncalves

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Among the problems affecting Higher Education Institutions (HEI) in Latin America and the Caribbean there is the dropout, which relates to a more general issue consisting in dealing with the diversity of students. Here provided solutions are to detect and deal with student’s particular capacities and needs. To cope with this situation the ACACIA project has defined a framework that develops both CADEP centers and technological infrastructure. The former consists of an organizational unit focus on Empowering, Innovating, Educating, Supporting, Monitoring and leveraging institutions in dealing with such diversity. The latter is based on building the required infrastructure to tackle those issues and covering both face-to-face and eLearning educational settings. This comprises non-intrusive affect detection methods along with ambient intelligent solutions, which provide context-aware affective feedback to each student. Preliminary experimentation results open interesting avenues to be further progressed thus taking advantage of current developments on affect computing technologies.

Original languageEnglish
Title of host publicationLearning and Collaboration Technologies
Subtitle of host publication3rd International Conference, LCT 2016 and Held as Part of HCI International 2016, Proceedings
EditorsP. Zaphiris, A. Ioannou
PublisherSpringer-Verlag
Pages675-684
Number of pages10
ISBN (Electronic)978-3-319-39483-1
ISBN (Print)978-3-319-39482-4
DOIs
Publication statusPublished - 2016
Event3rd International Conference on Learning and Collaboration Technologies, LCT 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: 17 Jul 201622 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag
Volume9753
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Learning and Collaboration Technologies, LCT 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016
CountryCanada
CityToronto
Period17/07/1622/07/16

Keywords

  • Emerging technologies for collaboration and learning
  • Recommender systems for technology-enhanced learning

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  • Cite this

    Restrepo, E. G. Y., Ferreira, F., Boticario, J. G., Marcelino-Jesus, E., Sarraipa, J., & Jardim-Goncalves, R. (2016). Enhanced affective factors management for HEI students dropout prevention. In P. Zaphiris, & A. Ioannou (Eds.), Learning and Collaboration Technologies: 3rd International Conference, LCT 2016 and Held as Part of HCI International 2016, Proceedings (pp. 675-684). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9753). Springer-Verlag. https://doi.org/10.1007/978-3-319-39483-1_61