Year : 2024
How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics.
Cite this Research Publication : Chejara, P., Prieto, L. P., Rodríguez-Triana, M. J., Ruiz-Calleja, A., Kasepalu, R., & Shankar, S.K. (2023, March). How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics. In LAK23: 13th International Learning Analytics and Knowledge Conference (LAK2023). ACM, USA, 111–121. https://doi.org/10.1145/3576050.3576144
Year : 2023
CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions
Cite this Research Publication : Shankar, S.K., Ruiz-Calleja, A., Prieto, L.P., Rodríguez-Triana, M.J., Chejara, P., & Tripathi, S. (2023), CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions. JUCS - Journal of Universal Computer Science 29(3): 265-297. https://doi.org/10.3897/jucs.84558
Year : 2023
Multimodal Learning Analytics research in the wild: challenges and their potential solutions
Cite this Research Publication : Chejara, P., Kasepalu, R., Prieto, L. P., Rodríguez-Triana, M. J., Ruiz-Calleja, A., & Shankar, S.K. (2023, March), Shankar, S.K.,.. Multimodal Learning Analytics research in the wild: challenges and their potential solutions. In CEUR Workshop proceeding of CrossMMLA'23.
Year : 2022
Exploring the triangulation of dimensionality reduction when interpreting multimodal learning data from authentic settings
Cite this Research Publication : Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Shankar, S. K. (2019, September). Exploring the triangulation of dimensionality reduction when interpreting multimodal learning data from authentic settings. In European Conference on Technology Enhanced Learning (EC-TEL 2019). Lecture Notes in Computer Science, Springer, Cham, 11722 (pp. 664-667). https://doi.org/10.1007/978-3-030-29736-7_62
Year : 2022
CDM4MMLA: Contextualized Data Model for MultiModal Learning Analytics. In the Multimodal Learning Analytics Handbook
Cite this Research Publication : Shankar, S. K., Rodríguez-Triana, M. J., Prieto, L. P., Ruiz-Calleja, A., & Chejara, P. (2022). CDM4MMLA: Contextualized Data Model for MultiModal Learning Analytics. In the Multimodal Learning Analytics Handbook. Springer, Cham. https://doi.org/10.1007/978-3-031-08076-0_9
Year : 2022
A Set of Evidence-based Guidelines for Planning Authentic Multimodal Learning Analytics Situations by Involving Cross-Disciplinary Stakeholders
Cite this Research Publication : Shankar, S.K., & Sasi, D. (2023), A Set of Evidence-based Guidelines for Planning Authentic Multimodal Learning Analytics Situations by Involving Cross-Disciplinary Stakeholders. Dykinson, ISBN 978-84-1170-558-5, [2022]
Year : 2021
EFAR-MMLA: An evaluation framework to assess and report generalizability of machine learning models in MMLA
Cite this Research Publication : Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., Shankar, S. K., & Kasepalu, R. (2021). EFAR-MMLA: An evaluation framework to assess and report generalizability of machine learning models in MMLA. Sensors, MDPI 21(8), 2863. https://doi.org/10.3390/s21082863
Year : 2021
CoTrack2: A tool to track collaboration across physical and digital spaces with real time activity visualization
Cite this Research Publication : Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., Shankar, S. K., & Kasepalu, R. (2021). CoTrack2: A tool to track collaboration across physical and digital spaces with real time activity visualization. In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK 2021). SoLAR (pp. 406-406). https://www.solaresearch.org/core/lak21-companion-proceedings/
[2020]
Year : 2021
Teachers’ reflections on students’ learning approaches who resumed physical classrooms after almost two years due to COVID-19 pandemic-induced disruptions
Cite this Research Publication : Shankar, S. K., Tripathi, S., Nupur, N., & Chejara, P. (2022, July). Teachers' reflections on students’ learning approaches who resumed physical classrooms after almost two years due to COVID-19 pandemic-induced disruptions. In the 14th International Conference on Education and New Learning Technologies (EDULEARN 2022). IATED (pp. 1656-1664). https://doi.org/10.21125/edulearn.2022.0437
[2021]
Year : 2020
Quantifying collaboration quality in face-to-face classroom settings using MMLA
Cite this Research Publication : Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., Shankar, S. K., & Kasepalu, R. (2020, September). Quantifying collaboration quality in face-to-face classroom settings using MMLA. In International Conference on Collaboration Technologies and Social Computing (CollabTech 2020). Lecture Notes in Computer Science, Springer, Cham, 12324 (pp. 159-166). https://doi.org/10.1007/978-3-030-58157-2_11
[2019]
Year : 2020
A Multimodal Learning Analytics approach to support evidence-based teaching and learning Practices
Cite this Research Publication : Shankar, S. K., Ruiz-Calleja, A., Prieto, L. P., & Rodríguez-Triana, M. J. (2020, July). A Multimodal Learning Analytics approach to support evidence-based teaching and learning Practices. In IEEE 20th International Conference on Advanced Learning Technologies (ICALT 2020). IEEE, (pp. 381-383). https://doi.org/10.1109/ICALT49669.2020.00120
Year : 2020
Curriculum analytics as a communication mediator among stakeholders to enable the discussion and inform decision-making
Cite this Research Publication : De Silva, L. M. H., Rodríguez-Triana, M. J., Chounta, I., Tammets, K., Shankar, S. K. (2020, March). Curriculum analytics as a communication mediator among stakeholders to enable the discussion and inform decision-making. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020). SoLAR (pp. 762-764). https://www.solaresearch.org/core/lak20-companion-proceedings/
Year : 2020
Challenges in multichannel data discovery and integration for monitoring performance in self-regulated learning
Cite this Research Publication : Shankar, S. K. (2020, March). Challenges in multichannel data discovery and integration for monitoring performance in self-regulated learning. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020). SoLAR, (pp. 455- 458). https://www.solaresearch.org/core/lak20-companion-proceedings/
Year : 2020
MMLA approach to track collaborative behavior in face-to-Face blended settings
Cite this Research Publication : Chejara, P., Kasepalu, R., Shankar, S. K., Prieto, L. P., Rodríguez-Triana, M. J., & Ruiz-Calleja, A. (2020, March). MMLA approach to track collaborative behavior in face-to-Face blended settings. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020). SoLAR, (pp. 543-548). https://www.solaresearch.org/core/lak20-companion-proceedings/
Year : 2020
Cotrack: A tool for tracking collaboration across physical and digital spaces in collocated blended settings
Cite this Research Publication : Chejara, P., Prieto, L. P., Rodríguez-Triana, M., Ruiz-Calleja, A., & Shankar, S. K. (2020, March). Cotrack: A tool for tracking collaboration across physical and digital spaces in collocated blended settings. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020). SoLAR, (pp. 186-186). https://www.solaresearch.org/core/lak20-companion-proceedings/
Year : 2020
A scalable architecture for the dynamic deployment of Multimodal Learning Analytics applications in smart classrooms
Cite this Research Publication : Huertas Celdrán, A., Ruipérez-Valiente, J. A., Garcia Clemente, F. J., Rodríguez-Triana, M. J., Shankar, S. K., & Martinez Perez, G. (2020). A scalable architecture for the dynamic deployment of Multimodal Learning Analytics applications in smart classrooms. Sensors, MDPI, 20 (10), 2923. https://doi.org/10.3390/s20102923
Year : 2020
Multimodal Data Value Chain (M-DVC): A conceptual tool to support the development of Multimodal Learning Analytics solutions
Cite this Research Publication : Shankar, S. K., Rodríguez-Triana, M. J., Ruiz-Calleja, A., Prieto, L. P., Chejara, P., & Martínez-Monés, A. (2020). Multimodal Data Value Chain (M-DVC): A conceptual tool to support the development of Multimodal Learning Analytics solutions. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 15(2), (pp. 113-122). https://doi.org/10.1109/RITA.2020.2987887
Year : 2019
An architecture and data model to process multimodal evidence of learning
Cite this Research Publication : Shankar, S. K., Ruiz-Calleja, A., Prieto, L. P., Rodríguez-Triana, M. J., & Chejara, P. (2019, September). An architecture and data model to process multimodal evidence of learning. In International Conference on Web-Based Learning (ICWL 2019). Lecture Notes in Computer Science, Springer, Cham, 11841 (pp. 72-83). https://doi.org/10.1007/978-3-030-35758-0_7
[2018]
Year : 2019
A data value chain to model the processing of multimodal evidence in authentic learning scenarios
Cite this Research Publication : Shankar, S. K., Calleja, A. R., Iglesias, S. S., Arranz, A. O., Topali, P., & Monés, A. M. (2019, June). A data value chain to model the processing of multimodal evidence in authentic learning scenarios. In CEUR Workshop proceeding of Learning Analytics Summer Institute Spain (LASI 2019). CEUR Proc., 2415 (pp. 71-83).
Year : 2018
A review of multimodal learning analytics architectures
Cite this Research Publication : Shankar, S. K., Prieto, L. P., Rodríguez-Triana, M. J., & Ruiz-Calleja, A. (2018, July). A review of multimodal learning analytics architectures. In IEEE 18th International Conference on Advanced Learning Technologies (ICALT 2018). IEEE, (pp. 212-214). https://doi.org/10.1109/ICALT.2018.00057
[2017]
Publisher : IEEE
Year : 2016
Optimization of energy dissipation in direct-diffusion two-level low energy adaptive clustering hierarchy routing protocol
Cite this Research Publication : Grewal, N. K., Grewal, D. K., & Shankar, S. K. (2016). Optimization of energy dissipation in direct-diffusion two-level low energy adaptive clustering hierarchy routing protocol. In International Journal of Control Theory and Applications (pp. 307-315).
[2015]
Year : 2016
Enhanced image based authentication with secure key exchange mechanism using ECC in cloud
Cite this Research Publication : Tomar, A. S., Shankar, S. K., Sharma, M., & Bakshi, A. (2016, September). Enhanced image based authentication with secure key exchange mechanism using ECC in cloud. In Security in Computing and Communications (SSCC 2016). Communications in Computer and Information Science, 625 (pp. 63-73). Springer, Singapore. https://doi.org/10.1007/978-981-10-2738-3_6
Year : 2016
To detect and isolate zombie attack in cloud computing
Cite this Research Publication : Kaur, S., Tomar, A. S., Shankar, S. K., Sharma, M. (2016). To detect and isolate zombie attack in cloud computing. In International Journal of Control Theory and Applications (pp. 227-238).
Year : 2016
An efficient algorithm for generating association rules by using constrained itemsets mining
Cite this Research Publication : Kaur, A., Aggarwal, V., & Shankar, S. K. (2016, May). An efficient algorithm for generating association rules by using constrained itemsets mining. In IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT 2016). IEEE, (pp. 99-102). https://doi.org/10.1109/RTEICT.2016.7807791
Publisher : IEEE
Year : 2016
Constraint data mining using apriori algorithm with AND operation
Cite this Research Publication : Shankar, S. K., & Kaur, A. (2016, May). Constraint data mining using apriori algorithm with AND operation. In IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT 2016). IEEE, (pp. 1025-1029). https://doi.org/10.1109/RTEICT.2016.7807985
Publisher : IEEE
Year : 2016
Typical and atypical hierarchical routing protocols for WSNs: A review
Cite this Research Publication : Kaur, N., Grewal, D. K., & Shankar, S. K. (2016, April). Typical and atypical hierarchical routing protocols for WSNs: A review. In IEEE International Conference on Computing, Communication and Automation (ICCCA 2016). IEEE, (pp. 465-470). https://doi.org/10.1109/CCAA.2016.7813764
Year : 2016
A survey on wireless body area network and electronic-healthcare
Cite this Research Publication : Shankar, S. K., & Tomar, A. S. (2016, May). A survey on wireless body area network and electronic-healthcare. In IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT 2016). IEEE, (pp. 598-603). https://doi.org/10.1109/RTEICT.2016.7807892
Year : 2016
Secure medical data transmission in Wireless Body Area Network
Cite this Research Publication : Shankar, S. K., & Tomar, A. S. (2017). Secure medical data transmission in Wireless Body Area Network. In LAMBERT proceedings (Master's thesis). LAMBERT.
[2016]
Year : 2015
Secure medical data transmission by using ECC with mutual authentication in WSNs
Cite this Research Publication : Shankar, S. K., Tomar, A. S., & Tak, G. K. (2015, December). Secure medical data transmission by using ECC with mutual authentication in WSNs. In Fourth International Conference on Eco-friendly Computing and Communication Systems (ICECCS 2015). Procedia Computer Science, Elsevier, 70, (pp. 455-461). https://doi.org/10.1016/j.procs.2015.10.078