Research and Implementation of Intelligent Question Answering System in MOOC

Wei Jun Dong; Guo Hua Geng

doi:10.4028/www.scientific.net/AMM.678.684

Paper Titles

Study on the Construction of Teaching Resources Platform Based on Cloud Space
p.663

The Research of Applied Analysis Method on Shaped Charge Detonation Parameters
p.666

Reflection on Intelligent Monitoring Caused by Significant Production Accidents
p.672

Reliability Analysis of the Port Handling Machinery and the Workers
p.679

Research and Implementation of Intelligent Question Answering System in MOOC
p.684

The Engineering Drawing Network Potting Management System Based on Intelligent Print Queue Management
p.689

Design of Network Seal Usage Examination and Approval Process Based on CRP Digital Campus Information Management Platform
p.693

Evolutionary Game Research on the Core Business and Consumer Behavior in Green Supply Chain under IOT Environment
p.697

Research on the Improvement of General Assemble Line Bottleneck for the Car
p.705

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 678Research and Implementation of Intelligent...

Research and Implementation of Intelligent Question Answering System in MOOC

Abstract:

Massive Online Open Course which based on Open Educational Resource might be the most effective method to large-scale quality education, which can realize passive learning to active learning. Analyzing the status and shortages of Intelligent Answering System, propose and design an intelligent question answering system based on agent-model. System use software agents to implement and improve MOOC system’s Intelligent Answering System performance, which has capacity of natural language processing, and good versatility. It can provide an efficient online problem answer environment for thousands of learners, and can effectively promote students' autonomous learning and self-development.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 678)

Pages:

684-688

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.678.684

Citation:

Cite this paper

Online since:

October 2014

Authors:

Wei Jun Dong*, Guo Hua Geng

Keywords:

Intelligent Answering System, Massive Online Open Course, Software Agent

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] JHan. From PID to Active Disturbance Rejection Control[J]. Industrial Electronics. IEEE Transactions, 2009, 56(3): 900 –906.

DOI: 10.1109/tie.2008.2011621

Google Scholar

[2] P. Bistak and P. Folvarcik. Remote laboratory java server based on Jacobproject[J]. International Journal of Online Engineering, 2011, 7(1): 33–36.

Google Scholar

[3] Bhamra, G. S.; Verma, A. K.; Patel, R. B. Intelligent Software Agent Technology: An Overview[J]. International Journal of Computer Applications. 2014, 89(3): 19-31.

Google Scholar

[4] R.E. Mayer, S.C. DaPra. An embodiment effect in computer-based learning with animated pedagogical agents[J]. Journal of Experimental Psychology, 2003, 3, 239-252.

DOI: 10.1037/a0028616

Google Scholar

[5] Anand Kumar Pandey, Rashmi Pandey. A Structural Analysis of Software Agent in Terms of its Behavior and its Interaction With System[J]. International Journal of Application or Innovation in Engineering & Management, 2014, 3(3): 112-116.

Google Scholar

[6] Bearzotti L.A., Salomone E., Chiotti, O.J. An autonomous multi-agent approach to supply chain event management[J]. International Journal Production Economics, 2012, 135: 468–478.

DOI: 10.1016/j.ijpe.2011.08.023

Google Scholar