Name
Title | ||
|---|---|---|
(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners. |
Abstract | ||
|---|---|---|
In this paper, we present an online computation approach implemented in a cloud-based system to assist open education resource (OER) providers and instructors dealing with the sparsity of data in micro OER recommendation. An algorithmic framework is provided to realize the novel micro OER recommendation system based on heuristic rules. These rules can also optimize the approaches to blending new-coming micro OERs into established learning paths. Comparing with different widely used recommender systems, our evaluation shows the proposed heuristic algorithms for online computation performs satisfactorily in terms of precision and recall values. |
Year | Venue | Field |
|---|---|---|
2018 | IEEE CLOUD | Ontology (information science),Recommender system,Heuristic,Open education,Computer science,Precision and recall,Online computation,Artificial intelligence,Machine learning,Semantics,Distributed computing,Cloud computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geng Sun | 1 | 0 | 0.34 |
| Tingru Cui | 2 | 7 | 2.39 |
| Fang Dong | 3 | 202 | 35.44 |
| Dongming Xu | 4 | 2 | 1.12 |
| Jun Shen | 5 | 234 | 40.40 |
| Shiping Chen | 6 | 61 | 9.02 |
| Jiayin Lin | 7 | 1 | 2.10 |