24 citations · 24 across the 6 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.HC2024
Multimodal Machine Learning for Automated Assessment of Attention-Related Processes during Learning
Babette Bühler
Attention is a key factor for successful learning, with research indicating strong associations between (in)attention and learning outcomes. This dissertation advanced the field by…
cs.HC2024★ 24 cited
Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT
Ruikun Hou, Tim Fütterer, Babette Bühler +4
Classroom observation protocols standardize the assessment of teaching effectiveness and facilitate comprehension of classroom interactions. Whereas these protocols offer teachers…
cs.HC2024
On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-Reported Attention During Video Lecture Learning
Babette Bühler, Efe Bozkir, Hannah Deininger +3
Successful learning depends on learners' ability to sustain attention, which is particularly challenging in online education due to limited teacher interaction. A potential indicat…