Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics-Reference-Cited by-同舟云学术

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Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:LAK23: 13th International Learning Analytics and Knowledge Conference
language:
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Author:

Chejara Pankaj¹^ORCID,Prieto Luis P.²^ORCID,Rodriguez-Triana Maria Jesus¹^ORCID,Ruiz-Calleja Adolfo¹^ORCID,Khalil Mohammad³^ORCID

Affiliation:

1. Tallinn University, Estonia

2. School of Educational Sciences, Tallinn University (Estonia), Estonia

3. University of Bergen, Norway

Funder

ETAG research grant

European Union Horizon

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576050.3576143

Reference25 articles.

1. Privacy-Preserving Speech Analytics for Automatic Assessment of Student Collaboration

2. Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks

3. EFAR-MMLA: An Evaluation Framework to Assess and Report Generalizability of Machine Learning Models in MMLA

4. Towards a Time Series Approach for the Classification and Evaluation of Collaborative;Chounta Irene-Angelica;Activities. Comput. Informatics,2015

5. Technologies for automated analysis of co-located, real-life, physical learning spaces

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How well do collaboration quality estimation models generalize across authentic school contexts?;British Journal of Educational Technology;2023-10-20

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