A DISTANCE LEARNING MODEL FOR INTERNET BASED TELEOPERATION

1. A DISTANCE LEARNING MODEL FOR INTERNET BASED TELEOPERATION Barda IOANA- phd student, Univ. of Oradea, ioana.barda@gmail.com Csokmai LEHEL– Univ. of Oradea, cs.lehel@yahoo.com Vesselnyi TIBERIU– Univ. of Oradea, tvesselenyi@yahoo.co.uk Tarca RADU CATALIN- UNESCO Chair in Information Technology, Univ. of Oradea, rctarca@yahoo.com Popentiu Vladicescu FLORIN- UNESCO Chair in Information Technology, Univ. of Oradea, popentiu@imm.dtu.dk Mihai MIHAELA - student, Univ. Politehnica of Bucharest –FILS, mihaimmihaela@yahoo.com

2. Contents • INTRODUCTION • E-LEARNING vs E-TEACHING • APPLICATION • CONCLUSIONS • Selective BIBLIOGRAPHY

3. The new type of learning Virtual Learning Environment Mechatronic virtual lab Communication technologies: Asynchronous Synchronous INTRODUCTION

4. E-LEARNING vs. E-TEACHING • E-learning – is more “student’s job” • E-teaching – is more “teacher’s job” • Concept of blended learning: • - transition from traditional learning (teacher centered) to modern learning – electronic learning (learner centered) techniques. • - based on mixing collaborative learning, problem-based learning (PBL) and independent learning. • - learning management system (LMS) – also referred to as adaptive hypermedia

5. Semantic Web-based Adaptive Hypermedia Architecture

6. The purpose is to develop a collaborative system of e-laboratories in which one may use common resources that are scattered between laboratories, using techniques of augmented reality APPLICATION

7. Robot VC VC PC MM PC INTERNET PC VC MM AGV a Robot AGV ML b Robot AGV c The architecture (a) and the virtual layout (b, c) of the system

8. CONCLUSION • Effective e-learning application  offering students great help in getting accustomed to remote robot manipulation via Internet. • The proposed system helps students perform practice experiments from any location, at any time, in their own learning rhythm and for how much time they need. • Tool that can be used to test new control schemes over a variety of physical equipment.

9. ACKNOWLEDGEMENT The authors were supported by the Faculty of Management and Technological Engineering, and they contributed to this paper with results of their investigations on Robotics & Virtual Reality and advanced computing methodologies according to the research program of the UNESCO Chair in Information Technologies at University of Oradea.

10. Selective BIBLIOGRAPHY 1. Natasa Hoic-Bozic, Vedran Mornar, and Ivica Boticki, A Blended Learning Approach to Course Design and Implementation, IEEE Transactions on Education, vol. 52, no. 1, February 2009 2. A. Ivanescu, Ioana Barda, Fl. Popentiu-Vladicescu, Distance Learning Answering Students' Needs; The example of the Interactive e-Learning Environment (IELE), The 4th International Scientific Conference eLSE "eLearning and Software for Education", Bucharest, April 17-18 2008, pp. 81-88 , ISBN: 978-973-749-362-0. 3. Juan D. Velásquez, Vasile Palade, Adaptive Web Sites - A Knowledge Extraction from Web Data Approach, ISBN 978-1-58603-831-1, IOS Press, 2008

11. 4. Laura Czerniewicz, Distinguishing the Field of Educational Technology, Electronic Journal of e-Learning Volume 6 Issue 3 2008, pp. 171-178 5. Evelyn Kigozi Kahiigi, Love Ekenberg, Henrik Hansson, F.F Tusubira and Mats Danielson, Exploring the e-Learning State of Art, Electronic Journal e-Learning Volume 6 Issue 2 2008, pp. 77 – 88, ISSN 1479-4403 6. Helen Boulton, Managing e-Learning: What are the Real Implications for Schools?, Electronic Journal e-Learning Volume 6 Issue 1 2008, pp. 11-18, ISSN 1479-4403 7. Malcolm Bell and Stephen Farrier, Measuring Success in e-Learning – A Multi-Dimensional Approach, Electronic Journal e-Learning Volume 6 Issue 2 2008, pp. 99 – 110, ISSN 1479-4403 8. Min Wu, Jin-Hua She, Gui-Xiu Zeng, and Yasuhiro Ohyama, Internet-Based Teaching and Experiment System for Control Engineering Course, IEEE Transactions On Industrial Electronics, Vol. 55, No. 6, June 2008

12. Thank you!