Exploring the Triangulation of Dimensionality Reduction When Interpreting Multimodal Learning Data from Authentic Settings. - Pankaj Chejara; Luis Pablo Prieto; Adolfo Ruiz-Calleja; María Jesús Rodríguez-Triana; Shashi Kant Shankar (EC-TEL, 2019)

An Architecture and Data Model to Process Multimodal Evidence of Learning. - Shashi Kant Shankar; Adolfo Ruiz-Calleja; Luis Pablo Prieto; María Jesús Rodríguez-Triana; Pankaj Chejara (ICWL, 2019)

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)

Multimodal Learning Analytics for Understanding Collocated Collaboration in Authentic Classroom Settings. - Pankaj Chejara (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)

Multimodal Data Value Chain (M-DVC): A Conceptual Tool to Support the Development of Multimodal Learning Analytics Solutions. - Shashi Kant Shankar; María Jesús Rodríguez-Triana; Adolfo Ruiz-Calleja; Luis Pablo Prieto; Pankaj Chejara; Alejandra Martínez-Monés (Rev. Iberoam. de Tecnol. del Aprendiz., 2020)

Dataset on an online collaborative learning situation in a computer networks course (Abstract). - Cristina Villa-Torrano; Pankaj Chejara; Juan I. Asensio-Pérez; Yannis A. Dimitriadis; Miguel L. Bote-Lorenzo; Alejandra Martínez-Monés; Eduardo Gómez-Sánchez (EDM (Workshops), 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)

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)

Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics. - Pankaj Chejara; Luis Pablo Prieto; María Jesús Rodríguez-Triana; Adolfo Ruiz-Calleja; Mohammad Khalil (LAK, 2023)

CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions. - Shashi Kant Shankar; Adolfo Ruiz-Calleja; Luis Pablo Prieto; María Jesús Rodríguez-Triana; Pankaj Chejara; Sandesh Tripathi (J. Univers. Comput. Sci., 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)

Bringing Collaborative Analytics using Multimodal Data to Masses: Evaluation and Design Guidelines for Developing a MMLA System for Research and Teaching Practices in CSCL. - Pankaj Chejara (LAK, 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)

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)