Sense the classroom: AI-supported synchronous online education for a resilient new normal

K. Shingjergi*, Y.D. Iren, C.C.J. Urlings, R. Klemke

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


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 languageEnglish
Title of host publication European Association of Technology Enhanced Learning (EATEL) 2021
Subtitle of host publicationEC-TEL Doctoral Consortium
EditorsMikhail Fominykh, Maria Aristeidou
Number of pages7
Publication statusPublished - 18 Jan 2021
EventSixteenth European Conference on Technology Enhanced Learning: Technology-Enhanced Learning for a Free, Safe, and Sustainable World - Online, Bozen-Bolzano, Italy
Duration: 20 Sept 202124 Sept 2021
Conference number: 16


ConferenceSixteenth European Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL 2021
Internet address


  • Affective computing
  • Artificial intelligence
  • Learning-centered affective states
  • Synchronized learning
  • Technology enhanced learning


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