Abstract
Following the COVID-19 pandemic, as the user-base of online synchronous communication systems skyrocketed, the shortcomings of synchronous online learning systems became more visible. Any attempt to overcome these shortcomings should be considered worthwhile due to the magnitude of potential impact. Improving the quality and addressing the shortcomings of online education is more important than ever. The goal of this multidisciplinary study that lies in the intersection of the fields of Education Science and Computer Science is to address a number of challenges of online education by incorporating AI. This study focuses on developing methods and means to ethically collect and use non-verbal cues of participants of online classrooms to assist teachers, students, and course coordinators by providing real-time and after-the-fact feedback of the students’ learning-centered affective states.
Original language | English |
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Title of host publication | European Association of Technology Enhanced Learning (EATEL) 2021 |
Subtitle of host publication | EC-TEL Doctoral Consortium |
Editors | Mikhail Fominykh, Maria Aristeidou |
Publisher | CEUR-WS.org |
Pages | 64-70 |
Number of pages | 7 |
Volume | 3076 |
Publication status | Published - 18 Jan 2021 |
Event | Sixteenth European Conference on Technology Enhanced Learning: Technology-Enhanced Learning for a Free, Safe, and Sustainable World - Online, Bozen-Bolzano, Italy Duration: 20 Sept 2021 → 24 Sept 2021 Conference number: 16 https://ea-tel.eu/ectel2021 |
Conference
Conference | Sixteenth European Conference on Technology Enhanced Learning |
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Abbreviated title | EC-TEL 2021 |
Country/Territory | Italy |
City | Bozen-Bolzano |
Period | 20/09/21 → 24/09/21 |
Internet address |
Keywords
- Affective computing
- Artificial intelligence
- Learning-centered affective states
- Synchronized learning
- Technology enhanced learning