no code implementations • 1 Apr 2024 • Ruikun Hou, Tim Fütterer, Babette Bühler, Efe Bozkir, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
Our findings provide insights into using advanced, multimodal techniques for automated classroom observation, aiming to foster teacher training through frequent and valuable feedback.
no code implementations • 6 May 2021 • Ömer Sümer, Cigdem Beyan, Fabian Ruth, Olaf Kramer, Ulrich Trautwein, Enkelejda Kasneci
One approach that can promote efficient development of presentation competence is the automated analysis of human behavior during a speech based on visual and audio features and machine learning.
no code implementations • 11 Jan 2021 • Ömer Sümer, Patricia Goldberg, Sidney D'Mello, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
To best examine student visual engagement in the classroom, we conducted a study utilizing the audiovisual recordings of classes at a secondary school over one and a half month's time, acquired continuous engagement labeling per student (N=15) in repeated sessions, and explored computer vision methods to classify engagement levels from faces in the classroom.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 14 Jan 2020 • Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
A possible solution would be to request permission to record the audio-visual recordings of all students (including those who do not voluntarily participate in the study) and to anonymise their data.
no code implementations • 12 Jan 2020 • Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
This paper addresses the problem of understanding joint attention in third-person social scene videos.
no code implementations • 22 May 2018 • Ömer Sümer, Patricia Goldberg, Kathleen Stürmer, Tina Seidel, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
The ability for a teacher to engage all students in active learning processes in classroom constitutes a crucial prerequisite for enhancing students achievement.