Name
Title | ||
|---|---|---|
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning |
Abstract | ||
|---|---|---|
The soaring development of Web technologies and mobile devices has blurred time-space boundaries of people’s daily activities. Such development together with the life-long learning requirement give birth to a new learning style, micro learning. Micro learning aims to effectively utilize learners’ fragmented time to carry out personalized learning activities through online education resources. The whole workflow of a micro learning system can be separated into three processing stages: micro learning material generation, learning materials annotation and personalized learning materials delivery. Our micro learning framework is firstly introduced in this paper from a higher perspective. Then we will review representative segmentation and annotation strategies in the e-learning domain. As the core part of the micro learning service, we further investigate several the state-of-the-art recommendation strategies, such as soft computing, transfer learning, reinforcement learning, and context-aware techniques. From a research contribution perspective, this paper serves as a basis to depict and understand the challenges in the data sources and data mining for the research of micro learning. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11280-019-00730-9 | World Wide Web |
Keywords | DocType | Volume |
Micro learning, Video segmentation, Automatic annotation, Recommender system, Machine learning, Data mining | Journal | 23 |
Issue | ISSN | Citations |
3 | 1386-145X | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayin Lin | 1 | 1 | 2.10 |
| Geng Sun | 2 | 61 | 10.04 |
| Tingru Cui | 3 | 40 | 14.12 |
| Jun Shen | 4 | 234 | 40.40 |
| Dongming Xu | 5 | 448 | 35.20 |
| Ghassan Beydoun | 6 | 456 | 45.98 |
| Ping Yu | 7 | 0 | 0.34 |
| David Pritchard | 8 | 0 | 0.34 |
| Li Li | 9 | 0 | 0.34 |
| Shiping Chen | 10 | 61 | 9.02 |