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Affective Computing to Enhance Emotional Sustainability of Students in Dropout Prevention

Published: 01 December 2016 Publication History

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.

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Cited By

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  • (2024)Towards Integrating Automatic Emotion Recognition in Education: A Deep Learning Model Based on 5 EEG ChannelsInternational Journal of Computational Intelligence Systems10.1007/s44196-024-00638-x17:1Online publication date: 2-Sep-2024
  • (2024)Exploring Brazilian Teachers’ Perceptions and a priori Needs to Design Smart ClassroomsInternational Journal of Artificial Intelligence in Education10.1007/s40593-024-00410-4Online publication date: 12-Jul-2024
  • (2022)Toward a Systematic Survey on Wearable Computing for Education ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2022.31683249:15(12901-12915)Online publication date: 1-Aug-2022
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Published In

cover image ACM Other conferences
DSAI '16: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
December 2016
440 pages
ISBN:9781450347488
DOI:10.1145/3019943
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2016

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Author Tags

  1. Affective computing
  2. emotional state detection
  3. sensors
  4. student counselling

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DSAI 2016

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Overall Acceptance Rate 17 of 23 submissions, 74%

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Cited By

View all
  • (2024)Towards Integrating Automatic Emotion Recognition in Education: A Deep Learning Model Based on 5 EEG ChannelsInternational Journal of Computational Intelligence Systems10.1007/s44196-024-00638-x17:1Online publication date: 2-Sep-2024
  • (2024)Exploring Brazilian Teachers’ Perceptions and a priori Needs to Design Smart ClassroomsInternational Journal of Artificial Intelligence in Education10.1007/s40593-024-00410-4Online publication date: 12-Jul-2024
  • (2022)Toward a Systematic Survey on Wearable Computing for Education ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2022.31683249:15(12901-12915)Online publication date: 1-Aug-2022
  • (2019)Towards Truly Affective AAL SystemsEnhanced Living Environments10.1007/978-3-030-10752-9_7(152-176)Online publication date: 19-Jan-2019
  • (2018)An Integrated Approach for Fighting Dropout and Enhancing Students' Satisfaction in Higher EducationProceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion10.1145/3218585.3218667(240-247)Online publication date: 20-Jun-2018
  • (2018)Sensor Data-Driven Emotion Perception in Physical Learning Spaces-A Review and Prospect2018 Seventh International Conference of Educational Innovation through Technology (EITT)10.1109/EITT.2018.00009(1-5)Online publication date: Dec-2018
  • (2017)Responsive and responsible higher education through advanced technology Accessibility, empathy and diversity the keys of our future2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)10.1109/ICE.2017.8280067(1552-1558)Online publication date: Jun-2017
  • (2017)Multi-agent based simulation of universities as an innovation ecosystem based on knowledge flows2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)10.1109/ICE.2017.8280057(1480-1488)Online publication date: Jun-2017

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