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Shashi Kant Shankar
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2020 – today
- 2024
- [j5]Pankaj Chejara
, Luis Pablo Prieto
The Impact of Attribute Noise on the Automated Estimation of Collaboration Quality Using Multimodal Learning Analytics in Authentic Classrooms. J. Learn. Anal. 11(2): 73-90 (2024) - [c11]Ekaterina Muravevskaia, Bicky Kuriappan, Shashi Kant Shankar, Krishnaveni M, Swathi Lekshmi:
Observing the Gaps from Theory to Practice in Rural Indian Public School Teachers' Pedagogical Competencies in Social-Emotional Learning. ICALT 2024: 250-254 - 2023
- [j4]Shashi Kant Shankar
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. 29(3): 265-297 (2023) - [c10]Pankaj Chejara, Reet Kasepalu, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja, Shashi Kant Shankar:
Multimodal Learning Analytics Research in the Wild: Challenges and Their Potential Solutions. CrossMMLA@LAK 2023: 36-42 - [c9]Pankaj Chejara
How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics. LAK 2023: 111-121 - 2021
- [j3]Pankaj Chejara
EFAR-MMLA: An Evaluation Framework to Assess and Report Generalizability of Machine Learning Models in MMLA. Sensors 21(8): 2863 (2021) - 2020
- [j2]Shashi Kant Shankar
Multimodal Data Value Chain (M-DVC): A Conceptual Tool to Support the Development of Multimodal Learning Analytics Solutions. Rev. Iberoam. de Tecnol. del Aprendiz. 15(2): 113-122 (2020) - [j1]Alberto Huertas Celdrán
A Scalable Architecture for the Dynamic Deployment of Multimodal Learning Analytics Applications in Smart Classrooms. Sensors 20(10): 2923 (2020) - [c8]Pankaj Chejara, Luis Pablo Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar
Quantifying Collaboration Quality in Face-to-Face Classroom Settings Using MMLA. CollabTech 2020: 159-166 - [c7]Shashi Kant Shankar
A Multimodal Learning Analytics Approach to Support Evidence-based Teaching and Learning Practices. ICALT 2020: 381-383 - [c6]Pankaj Chejara, Reet Kasepalu, Shashi Kant Shankar, Luis Pablo Prieto, María Jesús Rodríguez-Triana, Adolfo Ruiz-Calleja:
MMLA Approach to Track Participation Behavior in Collaboration in Collocated Blended Settings. CrossMMLA@LAK 2020: 11-16
2010 – 2019
- 2019
- [c5]Pankaj Chejara, Luis Pablo Prieto
Exploring the Triangulation of Dimensionality Reduction When Interpreting Multimodal Learning Data from Authentic Settings. EC-TEL 2019: 664-667 - [c4]Shashi Kant Shankar
An Architecture and Data Model to Process Multimodal Evidence of Learning. ICWL 2019: 72-83 - [c3]Shashi Kant Shankar, Adolfo Ruiz-Calleja, Sergio Serrano-Iglesias, Alejandro Ortega-Arranz, Paraskevi Topali, Alejandra Martínez-Monés
A data value chain to support the processing of multimodal evidence in authentic learning scenarios. LASI-SPAIN 2019: 71-83 - 2018
- [c2]Shashi Kant Shankar
A Review of Multimodal Learning Analytics Architectures. ICALT 2018: 212-214 - 2016
- [c1]Anurag Singh Tomar, Shashi Kant Shankar
Enhanced Image Based Authentication with Secure Key Exchange Mechanism Using ECC in Cloud. SSCC 2016: 63-73
Coauthor Index
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