To address the challenge of mapping characteristics of individuals' speech to information about the group, we coded behavioral and learning-related indicators ...
Automatic detection of collaboration quality from the students' speech could support teachers in monitoring group dynamics, diagnosing issues, and developing ...
To address the challenge of mapping characteristics of individuals' speech to information about the group, we coded behavioral and learning-related indicators ...
To address the challenge of mapping characteristics of individuals' speech to information about the group, we coded behavioral and learning-related indicators ...
Mapping individual to group level collaboration indicators using speech data. C D'Angelo, J Smith, N Alozie, A Tsiartas, C Richey, H Bratt. International ...
To address the challenge of mapping characteristics of individuals' speech to information about the group, we coded behavioral and learning-related indicators ...
Towards Automatic Collaboration Analytics for Group Speech Data ...
pmc.ncbi.nlm.nih.gov › PMC8124177
May 2, 2021 · Indicators of collaboration derived from audio are: prosody of sound such as pitch, spectral property, tone and intensity [16]; non-verbal ...
Mar 11, 2022 · We use video data to devise an indicator of the current possibilities for learner collaboration during large-group co-located interactions.
We investigated the generalizability of language-based analytics models across two collaborative problem solving (CPS) tasks.
This project is focused on exploring the feasibility of using students' spontaneous speech in small groups to determine how well they are collaborating on ...