1. A DISTANCE LEARNING MODEL FOR INTERNET BASED TELEOPERATION
Barda IOANA - phd student, Univ. of Oradea,
Csokmai LEHEL – Univ. of Oradea,
Vesselnyi TIBERIU – Univ. of Oradea,
Tarca RADU CATALIN - UNESCO Chair in Information Technology, Univ. of Oradea,
Popentiu Vladicescu FLORIN - UNESCO Chair in Information Technology, Univ. of Oradea,
Mihai MIHAELA - student, Univ. Politehnica of Bucharest –FILS,

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

3. INTRODUCTION The new type of learning Virtual Learning Environment
Mechatronic virtual lab
Communication technologies:
Asynchronous
Synchronous
New type of learning  Naturally suited to distance learning [4], but widely utilized in other types of learning too, E-learning [1], [19], [20], Computer-Based Training (CBT), Internet-Based Training (IBT) [10], Web-Based Training and a whole lot of other names are used to describe a new type of learning, where the medium of instruction is computer technology and people immerse themselves into a 3D environment or simply interact with characters or objects on screens [2].
Virtual Learning Environment  In higher education especially, as in the case of our mechatronic lab, the tendency is towards creating a Virtual Learning Environment (VLE) [21], in which all aspects of a course are handled through a consistent user interface standard throughout the institution. The virtual mechatronic lab discussed in this paper is targeted at those interested in robot manipulation, or in mechatronics. For a safe communication we use web services based on the HTTP/HTML protocol.
Mechatronic virtual lab  Our mechatronic virtual lab has definite benefits over traditional classroom training: the most obvious are the flexibility and the cost savings from not having to travel or spend lots of money on equipment; there are also others that might not be so obvious, such as the fact that it can work from (almost) any location and at any time and that it is self-paced, so that students can take their time and absorb all the necessary knowledge, before moving on. Moreover, professors of the highest caliber can share information much more easily.
Communication technologies  Communication technologies are generally categorized as asynchronous or synchronous. The mechatronic lab described in this paper is a mix of these two communication technologies. On one hand, we have asynchronous activities, where participants may be engaged in the pursuit of acquiring knowledge and skills without being dependent on the simultaneous involvement of other participants. On the other hand, students may also benefit from synchronous activities: several participants are logged on at the same time and communicate directly with each other, sharing the same application. Such activities involve the exchange of ideas and information with one or more participants during the same period of time.

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
Every time one confronts to learning a new concept and has to get accustomed to new information, images and applications especially make this process easier and more pleasant. Nowadays talking about e-learning brings no major novelty in hearing about this domain, but in improvements which have been made to create and develop an appropriate medium to transmit the new information – e-teaching – to the students, who are going to receive and use this material to learn and perfect their knowledge, about a certain subject, offering them a great help mainly in working by applying the newly acquired information – e-learning.
Although nothing seems to compare to the traditional system of education, e-learning has both advantages [9] and disadvantages. Among the disadvantages are the longer time spent in front of a computer, which may affect one’s sight faster as usual favoring the wear of glasses at early ages on one hand, whereas, on the other hand it drastically reduces socialization and face to face discussions among people, teenagers getting accustomed and integrating in the virtual world which might be used as a great manipulation tool. Furthermore, even if e-learning also offers the possibility to videoconference (real time class teaching and interacting with students), it is not the same with communicating with a person face-to-face or collaborating directly – as one does in real world - to other students.
2.1            The concept of blended learning
Blended learning represents primarily the transition from traditional learning (teacher centered) to modern learning – electronic learning (learner centered) techniques.
In e-learning the teacher is only a facilitator, the teacher-student interaction occurring less than in a traditional classroom. Furthermore, learning is largely self motivated, and the student bearing more responsibility to manage time and complete tasks within the given time frame [11]. One major aspect is that learners are not identical: they do not have the same capacity to acquire new information nor the same speed and self-discipline as other learners of similar age do. Some of them may not be able to comprehend the given information without further explanation from a teacher. E-learning, at the stage it is today, may not be able to entirely replace the traditional classroom, but only to provide a supporting tool in helping the learners memorize and become accustomed to the new topics faster, by the use of interactive lessons, which tend to be more like computer games they all enjoy - with lots of task applications and practical issues presented as colourful and vivid as possible.
The blended e-learning model is based on mixing collaborative learning [14], problem-based learning (PBL) and independent learning. Face-to-face environment and online learning are combined through the learning management system (LMS) [8] – also referred to as adaptive hypermedia [5]. Adaptive hypermedia is supporting learning and testing and also introduces new constructive (learners and instructors are guided in conducting, managing and encouraging personalized learning activities through collaborative learning [7]) and cognitive (concerned especially with the changes in a student’s understanding that results from learning [7]) elements to education. In addition, it promotes students’ motivation by supporting collaborative and project-oriented activities, as well as establishing learning as an active and interactive process [3].

5. Semantic Web-based Adaptive Hypermedia Architecture
An architecture for adaptive Web-based systems [13] is illustrated in Figure 1. The different system components are equipped with facilities to communicate with the other components in terms of service invocations. Bridges are used in accordance with the UPML (Unified-Solving Method development Language) framework connector definition [18], in order to specify mappings between the different model services within the architecture. Ontology is used to define and unify the system's terminology and properties to describe the knowledge of each system service. Each service can be specified by means of a specific ontology, and, in this way, a common ground for knowledge sharing, exploitation and interoperability among the services is provided. Thus, a highly modularized and flexible architecture is obtained [17].
Semantic Web-based Adaptive Hypermedia Architecture

6. APPLICATION
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

7. The architecture (a) and the
INTERNET
Robot VC PC MM
AGV ML a b c
The architecture (a) and the
virtual layout (b, c) of the system
The hardware subsystem of such a distributed multi-robot environment is composed by one robot, an AGV (Automated Guided Vehicle) and a milling machine (MM) (or other FMS components available in the mechatronic labs), communication interfaces, data acquisition controllers, one server (PC) for every lab and one video camera (VC) for every lab - figure 2.a.
According to this architecture, the whole system can be seen as a multi-camera environment, but it is more complex.
The software architecture is based on a complex distributed application running on three servers, which offers access to the people interested in robot manipulation for studying different methods of cooperation between robots or for learning mechatronic subjects.
The software technologies are based on Java. A specific protocol over TCP/IP will be designed for communication between the three servers. A difficult task is the development of such a protocol to support plug in of new labs to the kernel in order to create a network of labs.
Development of the collaborative network from e-laboratories will permit the realization of a scattered flexible cell, structured from an AGV belonging to the first lab, which brings the virtual piece further taken by a robot in a laboratory belonging to the second lab and placed on a milling machine in a laboratory belonging to the third lab, where it is virtually processed and then taken again by the robot and brought out of the system by the AGV. The virtual layout of the system is presented in figures 2.b, 2.c.
Using augmented reality, virtual reality from two of the laboratories is superposed over materialized effective reality in the third laboratory.
Therefore, a command given by a user to one of the robots is reflected in real-time in augmented reality to the other users.

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.
There is a strong need for identifying suitable strategies for effective e-Learning implementation and we have provided an e-learning application capable of 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. In addition, this tool can be used to test new control schemes over a variety of physical equipment.
E-learning cannot be applied everywhere and for everyone, therefore a survey based on students’ opinion (as a future aspect to be considered) - on which way they feel more comfortable to work and learn: a traditional laboratory or a virtual one - should be taken and, depending on these results, further action in the students’ benefit should be considered. Moreover, by this survey, the students’ level of understanding can be determined before and after using this distance learning model for internet based teleoperation.

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 , pp , ISBN:
3. Juan D. Velásquez, Vasile Palade, Adaptive Web Sites - A Knowledge Extraction from Web Data Approach, ISBN , IOS Press, 2008

11. 4. Laura Czerniewicz, Distinguishing the Field of Educational Technology, Electronic Journal of e-Learning Volume 6 Issue , pp
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 , pp. 77 – 88, ISSN
6. Helen Boulton, Managing e-Learning: What are the Real Implications for Schools?, Electronic Journal e-Learning Volume 6 Issue , pp , ISSN
7. Malcolm Bell and Stephen Farrier, Measuring Success in e-Learning – A Multi-Dimensional Approach, Electronic Journal e-Learning Volume 6 Issue , pp. 99 – 110, ISSN
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!