Pankaj Chejara

22 papers A 3B 3Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A quarter century of advances in collaboration sensing: a comprehensive review of high-frequency metrics and their connection to collaborative constructs from 2000 to 2025.
Int. J. Comput. Support. Collab. Learn.
Bertrand Schneider, Xiao Fang, Shinyi Kang, Pankaj Chejara, Jiajun Bu
2025 — conf
Teacher-AI Complementarity: From Design to Implementation and Reflection.
LAK Workshops
Pankaj Chejara, Kairit Tammets, Mart Laanpere, Annika Volt, Reet Kasepalu, Edna Milena Sarmiento-Márquez, Linda Helene Sillat
2024 A conf
Bringing Collaborative Analytics using Multimodal Data to Masses: Evaluation and Design Guidelines for Developing a MMLA System for Research and Teaching Practices in CSCL.
LAK
Pankaj Chejara
2024 J jnl
How well do collaboration quality estimation models generalize across authentic school contexts?
Br. J. Educ. Technol.
Pankaj Chejara, Reet Kasepalu, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Bertrand Schneider
2024 J jnl
The Impact of Attribute Noise on the Automated Estimation of Collaboration Quality Using Multimodal Learning Analytics in Authentic Classrooms.
J. Learn. Anal.
Pankaj Chejara, Luis Pablo Prieto, Yannis Dimitriadis, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Reet Kasepalu, Shashi Kant Shankar
2023 J jnl
CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions.
J. Univers. Comput. Sci.
Shashi Kant Shankar, Adolfo Ruiz-Calleja, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Pankaj Chejara, Sandesh Tripathi
2023 B conf
Exploring Indicators for Collaboration Quality and Its Dimensions in Classroom Settings Using Multimodal Learning Analytics.
EC-TEL
Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Reet Kasepalu, Irene-Angelica Chounta, Bertrand Schneider
2023 A conf
How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics.
LAK
Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Reet Kasepalu, Adolfo Ruiz-Calleja, Shashi Kant Shankar
2023 A conf
Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics.
LAK
Pankaj Chejara, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Mohammad Khalil
2023 — conf
Multimodal Learning Analytics Research in the Wild: Challenges and Their Potential Solutions.
CrossMMLA@LAK
Pankaj Chejara, Reet Kasepalu, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Shashi Kant Shankar
2023 J jnl
Studying teacher withitness in the wild: comparing a mirroring and an alerting & guiding dashboard for collaborative learning.
Int. J. Comput. Support. Collab. Learn.
Reet Kasepalu, Pankaj Chejara, Luis Pablo Prieto, Tobias Ley
2023 J jnl
Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model-based learning analytics.
J. Comput. Assist. Learn.
Tobias Ley, Kairit Tammets, Gerti Pishtari, Pankaj Chejara, Reet Kasepalu, Mohammad Khalil, Merike Saar, Iiris Tuvi, Terje Väljataga, Barbara Wasson
2022 J jnl
Correction to: Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard.
Technol. Knowl. Learn.
Reet Kasepalu, Pankaj Chejara, Luis Pablo Prieto, Tobias Ley
2022 J jnl
Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard.
Technol. Knowl. Learn.
Reet Kasepalu, Pankaj Chejara, Luis Pablo Prieto, Tobias Ley
2021 — conf
Dataset on an online collaborative learning situation in a computer networks course (Abstract).
EDM (Workshops)
Cristina Villa-Torrano, Pankaj Chejara, Juan I. Asensio-Pérez, Yannis A. Dimitriadis, Miguel L. Bote-Lorenzo, Alejandra Martínez-Monés, Eduardo Gómez-Sánchez
2021 J jnl
EFAR-MMLA: An Evaluation Framework to Assess and Report Generalizability of Machine Learning Models in MMLA.
Sensors
Pankaj Chejara, Luis Pablo Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar, Reet Kasepalu
2020 — conf
MMLA Approach to Track Participation Behavior in Collaboration in Collocated Blended Settings.
CrossMMLA@LAK
Pankaj Chejara, Reet Kasepalu, Shashi Kant Shankar, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja
2020 J jnl
Multimodal Data Value Chain (M-DVC): A Conceptual Tool to Support the Development of Multimodal Learning Analytics Solutions.
Rev. Iberoam. de Tecnol. del Aprendiz.
Shashi Kant Shankar, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Luis Pablo Prieto, Pankaj Chejara, Alejandra Martínez-Monés
2020 B conf
Multimodal Learning Analytics for Understanding Collocated Collaboration in Authentic Classroom Settings.
ICALT
Pankaj Chejara
2020 — conf
Quantifying Collaboration Quality in Face-to-Face Classroom Settings Using MMLA.
CollabTech
Pankaj Chejara, Luis Pablo Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar, Reet Kasepalu
2019 — conf
An Architecture and Data Model to Process Multimodal Evidence of Learning.
ICWL
Shashi Kant Shankar, Adolfo Ruiz-Calleja, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Pankaj Chejara
2019 B conf
Exploring the Triangulation of Dimensionality Reduction When Interpreting Multimodal Learning Data from Authentic Settings.
EC-TEL
Pankaj Chejara, Luis Pablo Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar