E-learning systems with artificial intelligence in engineering

Authors:
Wojciech Kacalak;Maciej Majewski
Affiliations:
Koszalin University of Technology, Faculty of Mechanical Engineering, Raclawicka, Koszalin, Poland;Koszalin University of Technology, Faculty of Mechanical Engineering, Raclawicka, Koszalin, Poland
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

Citing 4
Cited 3

E-Learning: Strategies for Delivering Knowledge in the Digital Age

E-Learning: Strategies for Delivering Knowledge in the Digital Age
Voice activated command and control with speech recognition over WiFi

Science of Computer Programming - Special issue: Principles and practices of programming in Java (PPPJ 2004)
Improving command and control speech recognition on mobile devices: using predictive user models for language modeling

User Modeling and User-Adapted Interaction
Universal access to communication and learning: the role of automatic speech recognition

Universal Access in the Information Society

Intelligent e-learning systems for evaluation of user's knowledge and skills with efficient information processing

ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
New intelligent interactive automated systems for design of machine elements and assemblies

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Effective handwriting recognition system using geometrical character analysis algorithms

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new concept of intelligent e-learning systems with intelligent two-way speech communication between an e-learning system and the user. The system uses intelligent methods for analysis, evaluation and assessment of user knowledge and skills as well as e-learning process control, supervision and optimization. Developed as a prototype for mobile technologies, the communication system by speech and a natural language between the intelligent e-learning system and external users consists of intelligent mechanisms for biometric user identification, speech recognition, word and sentence recognition, sentence meaning analysis, and user reaction assessment. Also discussed are selected problems of the new concept of intelligent e-learning systems using intelligent speech communication. The discussion focuses on recognition and evaluation of spoken natural language sentences with use of hybrid neural networks.