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 (CollabTech, 2020)

Overcoming the Difficulties for Teachers in Collaborative Learning Using Multimodal Learning Analytics. - Reet Kasepalu (ICALT, 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 (CrossMMLA@LAK, 2020)

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)

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)

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)

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 (EC-TEL, 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 (CrossMMLA@LAK, 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 (LAK, 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., 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., 2023)

Exploring Situation-Specific Skills to Boost Teachers' Use of Analytics. - Reet Kasepalu; Merike Saar; Kairit Tammets (EC-TEL (1), 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 001; María Jesús Rodríguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar (J. Learn. Anal., 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., 2024)

Teaching with AI: The Role of Teachers in the Hybrid Intelligent System. - Tobias Ley; Mutlu Cukurova; Justin Edwards; Ann-Christin Falhs; Sanna Järvelä; Reet Kasepalu; Inge Molenaar; Gerti Pishtari; Nikol Rummel; Jörgen Sikk; Wannapon Suraworachet; Kairit Tammets; et al. (EC-TEL (2), 2025)

Teacher-AI Complementarity: From Design to Implementation and Reflection. - Pankaj Chejara; Kairit Tammets; Mart Laanpere; Annika Volt; Reet Kasepalu; Edna Milena Sarmiento-Márquez; Linda Helene Sillat (LAK Workshops, 2025)