Realistic Measurement of Student Attendance in LMS Using Biometrics
Abstract
In this paper we propose a solution to obtain useful and reliable student session logs in a Learning Management System (LMS) combining current logs with biometrics-based logs that show the student behaviour during the whole learning session. The aims of our solution are to guarantee that the online student is who he/she claims to be, and also to know exactly how much time he/she spends in front of the computer reading each LMS content. Even when the proposed solution does not completely avoid cheating, the use of biometric data during authentication and face tracking provides additional help to validate student performance during learning sessions. In this way it is possible to improve security for specific contents, to gain feedback of the student effort and to check the actual time spent in learning.
Keywords
Technology (General)
Engineering (General). Civil engineering (General)
Information technology
Technology
Electrical engineering. Electronics. Nuclear engineering
Mechanical engineering and machinery
Science
manufactures
social sciences
telecommunication
communication. mass media
computer engineering. computer hardware
mathematics
environmental technology. sanitary engineering
Citation
ID:
71632
References
Blockchain Verification
Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
71632
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
Creates 1,000,000 NFT tokens for this article
Token Features:
- ERC-1155 Standard NFT
- 1 Million Supply per Article
- Transferable via MetaMask
- Permanent Blockchain Record
Scan with Saymatik Web3.0 Wallet
