Neural Network Based Intelligent Analysis of Learners Response for an e-Learning Environment

摘要：

This paper presents a novel neural network based scheme for intelligent analysis of learners response for an e-Learning environment. The scheme applies to typed-in single-word textual response from the learners end. The proposed system is intelligently adaptive to inadvertent mistakes committed by the learner while responding to the systems queries. Two-layered feed-forward neural net is employed to build the analyzer. Experimental results, carried out on a wide variety of sample responses show that the proposed scheme successfully simulates a human instructor communicating with the learner through single-word typed-in text.

关键词： Human Computer Interaction e-Learning Multiple Choice Questions Neural Network

作者: Udit Kr.Chakraborty Samir Roy

作者单位: Dept.of Computer Science & Engineering,Sikkim Mainpal Institute of Technology Majitar, Gangtok, Indi Dept.of Computer Science & Engineering,NITTTR Kolkata, India

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 333-337

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）