Publication: Remotify: The Emergency Remote Learning Solution using Learning Analytics
Type:
Article
Date
2022-07-18
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Current pandemic situation has manipulated people to adapt to a new normal forcefully and due to the same reason education system is also evolving but the actual question is how productive the new methodologies utilized are. E-learning is not a novel concept but is becoming a necessity and the proposed platform could be identified as a direct response to the current emergency. This can also be known as an "ERT" situation; a shift of instructional delivery to an alternate delivery method in response to a crisis situation. The main intention in these situations is not to recreate a robust educational system but to provide access to institutions in a manner that is easy to set up and is dependable during an emergency while outperforming both E-learning & traditional classroom methods. To provide a solution to overcome barriers faced in a pandemic situation in a virtual classroom, the implemented system is encapsulated with a dashboard centralizing facts gathered from audio & video analyzing components which are analyzed against student performance utilizing personalized assessing techniques to deliver learning analytics.
Description
Keywords
Remotify, Emergency, Remote Learning, Solution, Learning Analytics
Citation
S. N. Amarasinghe, T. M. D. D. Thalakumbura, M. D. N. K. Wijewardena, D. H. Perera, K. Manathunga and O. Senaweera, "Remotify: The Emergency Remote Learning Solution using Learning Analytics," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-8, doi: 10.1109/I2CT54291.2022.9824707.
