Publication: Remotify: The Emergency Remote Learning Solution using Learning Analytics
| dc.contributor.author | Amarasinghe, S. N. | |
| dc.contributor.author | Thalakumbura, T. M. D. D | |
| dc.contributor.author | Wijewardena, M. D. N. K. | |
| dc.contributor.author | Perera, D. H. | |
| dc.contributor.author | Manathunga, K | |
| dc.contributor.author | Senaweera, O | |
| dc.date.accessioned | 2022-09-05T08:38:30Z | |
| dc.date.available | 2022-09-05T08:38:30Z | |
| dc.date.issued | 2022-07-18 | |
| dc.description.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. | en_US |
| dc.identifier.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. | en_US |
| dc.identifier.doi | 10.1109/I2CT54291.2022.9824707 | en_US |
| dc.identifier.isbn | 978-1-6654-2168-3 | |
| dc.identifier.uri | https://rda.sliit.lk/handle/123456789/2954 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartofseries | 2022 IEEE 7th International conference for Convergence in Technology (I2CT); | |
| dc.subject | Remotify | en_US |
| dc.subject | Emergency | en_US |
| dc.subject | Remote Learning | en_US |
| dc.subject | Solution | en_US |
| dc.subject | Learning Analytics | en_US |
| dc.title | Remotify: The Emergency Remote Learning Solution using Learning Analytics | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Remotify_The_Emergency_Remote_Learning_Solution_using_Learning_Analytics.pdf
- Size:
- 1.44 MB
- Format:
- Adobe Portable Document Format
- Description:
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description:
