Publication Type : Journal Article
Source : In IEEE 20th International Conference on Advanced Learning Technologies (ICALT 2020). IEEE, 2020
Campus : Amritapuri
Verified : No
Year : 2020
Abstract : Multimodal Learning Analytics (MMLA) aims to support evidence-based educational practices by collecting, processing, analyzing and sense-making of multimodal evidence of learning. MMLA is not widespread yet and there are few tailored MMLA solutions to meet the requirements of a specific learning scenario. This PhD project investigates the main challenges behind the limited development of MMLA solutions and proposes an MMLA infrastructure as the main contribution. The proposed infrastructure includes three components - a data value chain, a data model and a software architecture. The overall project follows the design-based research methodology where multiple iterations are involved to refine the contributions.
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