Name
Abstract | ||
|---|---|---|
This paper forms a stochastic model using access logging data of contents in the e-learning system. If a lecturer could not provide a suitable study support to the learner in the e-learning system, then the learner might drop out of studying the system. However, if a lecturer could provide suitable supports to the learner at planned times, the learner could attain the goal. From such viewpoints, two stochastic problems of a study support system are proposed, and their optimal policies are discussed theoretically and numerically, when the number of acquirement items has Weibull and normal distributions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1504/IJKWI.2013.052726 | I. J. Knowledge and Web Intelligence |
Keywords | Field | DocType |
planned time,suitable support,normal distribution,stochastic problem,optimal study number,study support system,stochastic e-learning system,e-learning system,acquirement item,suitable study support,stochastic model,optimal policy,weibull distribution,stochastic modelling,electronic learning | Data mining,Normal distribution,E learning,Viewpoints,Support system,Computer science,Weibull distribution,Stochastic modelling,Drop out,Expected cost | Journal |
Volume | Issue | Citations |
4 | 1 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Syouji Nakamura | 1 | 19 | 3.40 |
| Keiko Nakayama | 2 | 7 | 3.91 |
| Toshio Nakagawa | 3 | 207 | 25.83 |