Name
Title | ||
|---|---|---|
Cloud And Edge Based Data Analytics For Privacy-Preserving Multi-Modal Engagement Monitoring In The Classroom |
Abstract | ||
|---|---|---|
Learning management systems are service platforms that support the administration and delivery of training programs and educational courses. Prerecorded, real-time or interactive lectures can be offered in blended, flipped or fully online classrooms. A key challenge with such service platforms is the adequate monitoring of engagement, as it is an early indicator for a student's learning achievements. Indeed, observing the behavior of the audience and keeping the participants engaged is not only a challenge in a face-to-face setting where students and teachers share the same physical learning environment, but definitely when students participate remotely. In this work, we present a hybrid cloud and edge-based service orchestration framework for multi-modal engagement analysis. We implemented and evaluated an edge-based browser solution for the analysis of different behavior modalities with cross-user aggregation through secure multiparty computation. Compared to contemporary online learning systems, the advantages of our hybrid cloud-edge based solution are twofold. It scales up with a growing number of students, and also mitigates privacy concerns in an era where the rise of analytics in online learning raises questions about the responsible use of data. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s10796-020-09993-4 | INFORMATION SYSTEMS FRONTIERS |
Keywords | DocType | Volume |
data analytics, multi-modal engagement monitoring, privacy, cloud and edge computing, browser | Journal | 23 |
Issue | ISSN | Citations |
1 | 1387-3326 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davy Preuveneers | 1 | 705 | 65.56 |
| Giuseppe Garofalo | 2 | 3 | 2.20 |
| Wouter Joosen | 3 | 2898 | 287.70 |