Abstract
In ACACIA project, through its Apoya module seeks to provide means and methods to enhance emotional sustainability as innovative approach to student's dropout prevention. Emotional state of the students at risk of dropout have to be assessed and innovative methods for counselling and curricula adaptation should be applied for getting out the student from the risk zone. The aim of this study is to propose an innovative solution to meliorate both emotional state and attention of students in risk of dropout. A scenario is presented in which eyetrackers and webcams are integrated in a platform in order to infer and manage students' emotional state in a smart classroom environment.
Original language | English |
---|---|
Title of host publication | DSAI 2016 - Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion |
Publisher | ACM - Association for Computing Machinery |
Pages | 85-91 |
Number of pages | 7 |
ISBN (Electronic) | 978-145034748-8 |
DOIs | |
Publication status | Published - 1 Dec 2016 |
Event | 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2016 - Vila Real, Portugal Duration: 1 Dec 2016 → 3 Dec 2016 |
Conference
Conference | 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2016 |
---|---|
Country/Territory | Portugal |
City | Vila Real |
Period | 1/12/16 → 3/12/16 |
Keywords
- Affective computing
- Emotional state detection
- Sensors
- Student counselling