Reet Kasepalu

According to our database, Reet Kasepalu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

How well do collaboration quality estimation models generalize across authentic school contexts?

Pankaj Chejara, Reet Kasepalu, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Bertrand Schneider

Br. J. Educ. Technol., July, 2024

The Impact of Attribute Noise on the Automated Estimation of Collaboration Quality Using Multimodal Learning Analytics in Authentic Classrooms.

Pankaj Chejara, Luis Pablo Prieto, Yannis Dimitriadis, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Reet Kasepalu, Shashi Kant Shankar

J. Learn. Anal., 2024

Exploring Situation-Specific Skills to Boost Teachers' Use of Analytics.

Reet Kasepalu, Merike Saar, Kairit Tammets

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

2023

Studying teacher withitness in the wild: comparing a mirroring and an alerting & guiding dashboard for collaborative learning.

Reet Kasepalu, Pankaj Chejara, Luis Pablo Prieto, Tobias Ley

Int. J. Comput. Support. Collab. Learn., December, 2023

Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model-based learning analytics.

Tobias Ley, Kairit Tammets, Gerti Pishtari, Pankaj Chejara, Reet Kasepalu, Mohammad Khalil, Merike Saar, Iiris Tuvi, Terje Väljataga, Barbara Wasson

J. Comput. Assist. Learn., October, 2023

How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics.

Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Reet Kasepalu, Adolfo Ruiz-Calleja, Shashi Kant Shankar

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Multimodal Learning Analytics Research in the Wild: Challenges and Their Potential Solutions.

Pankaj Chejara, Reet Kasepalu, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Shashi Kant Shankar

Proceedings of the 6th Workshop on Leveraging Multimodal Data for Generating Meaningful Feedback (CROSSMMLA 2023) at the 13th International Learning Analytics & Knowledge (LAK 2023), 2023

Exploring Indicators for Collaboration Quality and Its Dimensions in Classroom Settings Using Multimodal Learning Analytics.

Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Reet Kasepalu, Irene-Angelica Chounta, Bertrand Schneider

Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022

Correction to: Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard.

Reet Kasepalu, Pankaj Chejara, Luis Pablo Prieto, Tobias Ley

Technol. Knowl. Learn., 2022

Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard.

Reet Kasepalu, Pankaj Chejara, Luis Pablo Prieto, Tobias Ley

Technol. Knowl. Learn., 2022

2021

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

Pankaj Chejara, Luis Pablo Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar, Reet Kasepalu

Sensors, 2021

2020

MMLA Approach to Track Participation Behavior in Collaboration in Collocated Blended Settings.

Pankaj Chejara, Reet Kasepalu, Shashi Kant Shankar, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja

Proceedings of CrossMMLA in practice: Collecting, 2020

Overcoming the Difficulties for Teachers in Collaborative Learning Using Multimodal Learning Analytics.

Reet Kasepalu

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Quantifying Collaboration Quality in Face-to-Face Classroom Settings Using MMLA.

Pankaj Chejara, Luis Pablo Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar, Reet Kasepalu

Proceedings of the Collaboration Technologies and Social Computing, 2020