6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 6 cited
Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring
Kathrin Seßler, Maurice Fürstenberg, Babette Bühler +1
The manual assessment and grading of student writing is a time-consuming yet critical task for teachers. Recent developments in generative AI, such as large language models, offer…
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
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…