The objectives, architectures and effects of distance learning laboratories for industrial engineering education
Introduction
In modern industrial engineering education and training, many different strategies have been used in order to improve learning outcomes and to provide better education for students and trainees. It is clear that the concept of improvement of industrial engineering education could be addressed from a number of different perspectives (Keytack, 1994). Usage of modern technology and computers in education presents a very important issue. A leading idea to all educators was given in Dormido (2002): “Educators must have an open attitude towards new technologies. They should sensibly incorporate new technological development to avoid the risk of teaching the students of today, how to solve the problems of tomorrow, with the tools from yesterday.” Much attention has been given recently to modern education and e-learning. The concept of laboratories for distance learning that are based on control of remote laboratory set-ups or remote control of experiments, as well as the concept of virtual laboratories that are completely based on software simulation, have an important place in the concept of e-learning. The idea of having a remote web-based laboratory corresponds to attempts to overcome different constraints and provide the next step in remote distance learning (Fabregas et al., 2011, Forinash and Wisman, 2005, Gallardo et al., 2007). Remote/virtual laboratories are important in overcoming the major drawback of an e-learning environment: the lack of practical and laboratory work. Over the years, however, the nature of laboratories has changed (Feisal & Rosa 2005). These changes could be defined as changes in the role of laboratory work, as a part of a course, as well as changes in different technologies applied in a laboratory environment. The concept of laboratories for distance (e-learning) has its place in training and education, but also a number of questions and issues have to be solved.
Some questions are connected with the objectives, effective design and architecture (Barrios et al., 2013) of remote controlled and virtual laboratories, and focus is needed on the design of both the pedagogy and the technical infrastructure as well as how these elements interact (Lowe, Murray, Lindsay, & Liu, 2009). In many cases, lack of a proper architecture and software design, both in the client and server sides, degrades a labs' quality and academic usefulness (Garcia-Zubia, Orduna, Lopez-de-Ipina, & Alves, 2009). On the other hand, the best designed laboratory and laboratory experiments may not lead to reach higher order learning outcomes if they are not designed by considering specific objectives for laboratory learning (or learning outcomes, stated by different taxonomies) or by considering the pre-requests for a specific laboratory experiment. In addition, it is of great importance to stress the variety of stakeholders who are involved in the design, implementation and usage of virtual/remote laboratories: students, lecturers, developers, faculty/university administration. Different stakeholders have a set of opinions and views towards usage of open source vs. proprietary solutions or towards requests for client platform, laboratory experiments or laboratories as a whole.
Other questions related to efficiency of the concept of virtual or remote laboratories, compared to physical (real life) laboratories, as well as to a comparison of virtual and remotely controlled laboratories. Different authors have had a number of approaches. Sicker, Lookabaugh, Santos, and Barnes (2005) had three perspectives: students' exam results, students' lab reports, and students' satisfaction with the distance experience (based on interviews). They concluded that remote laboratories provide similar learning outcomes to their in-class analogs, but that there are important differences in student perceptions of the experience, including perceived difficulty and pace. Other authors also made an assessment according to learning outcomes (Gustavsson et al., 2009, Kostaras et al., 2011, Lindsay and Good, 2005, Mohtar et al., 2008, Nedic et al., 2003), or they started with learning outcomes as pre-requests for development of laboratories, Zhai and Xu (2011). Nickerson, Corter, Esche, and Chassapis (2007) presented a model for testing the relative effectiveness of engineering laboratories in education, comparing versions of remote labs vs. hands-on labs; the results suggest that students learned lab content information equally well from both types of laboratories, and that they have a realistic understanding and appreciation of the practical advantages of remote laboratories. Garcia-Zubia, Hernández, Angulo, Orduña, and Irurzun (2009) measured the acceptance, usability and usefulness of the remote laboratory from the students' point of view. Gadzhanov and Nafalsk (2010) analyzed the pedagogical effectiveness of distance education, with a special focus on remote laboratories, while Pati, Misra, and Mohanty (2012), Wolf (2010) addressed the evaluation of the effectiveness of virtual labs, proposing a conceptual model for evaluating the effectiveness of virtual lab courses. Tzafestas, Palaiologou, and Alifragis (2006), compared the effectiveness of real, virtual and remote experiments according to the educational impact of such systems.
It is clear that number of researches have focused on evaluation of the effectiveness of virtual or remote labs according to students' satisfaction, or learning outcomes or even educational impact. However, in some cases, specific learning outcomes could be connected with a specific laboratory exercise in a clear one to one relationship. The situation is even more blurred if we evaluate students' satisfaction, on the other hand results of exams or reports could be influenced by many different things (previous knowledge, theoretical lectures, and motivation). Additionally, some researches do not offer the background, requests, architectures and implementations of specific (laboratory) solutions which were evaluated. In other researches authors (Corter et al., 2011, Jara et al., 2011) addressed the evaluation of general issues such as students' satisfaction, quality as a global concept or others, which could not be easily tracked back to the characteristics of an experiment or laboratory as a whole. In this paper, it is stated that laboratory experiments (for both remote and virtual solutions) should be developed following objectives for laboratory learning (adopted for distance implementation). In the further process, the set of pre-requests presented by different stakeholders (students, teachers, developers and management) for the client/server solution, laboratory experiments and the laboratory as a whole were defined (analyzing the implementation issue: programming languages vs. dedicated proprietary software). Two sets of laboratory experiments were developed: remote controlled and virtual experiments (inverted pendulum and four tanks' system) using the same set of objectives and same set of requests. The systems have been in practice for two years, and the results of the survey are presented (covering 1595 students, 24 teachers and instructors, 4 developers and 4 study program managers) in order to evaluate achievement of the set of pre-defined objectives for laboratory learning and evaluate the set of pre-requests.
Section snippets
The fundamental and specific objectives of distance learning laboratories
A number of institutions have their own remote/virtual laboratories and different issues connected with this topic have been the focus of research (Balamuralithara & Woods, 2009). By having a number of these laboratories developed and installed, different questions emerged. Having a remote or virtual laboratory outside the course syllabus, without real connection with learning objectives, makes this, or any other educational tool, useless. The basic idea is to have a specific laboratory (and
Pre-requests, architecture and software realization of distance learning laboratories
In order to meet specific and fundamental objectives, we could state a number of pre-requests for distance learning laboratories and experiments. There are a number of researches that have analyzed general pre-requests for remote/virtual laboratories (Casini et al., 2004, Forinash and Wisman, 2005, Guran-Postlethwaite et al., 2005, Stefanovic et al., 2009, Zhai and Xu, 2011) as well as a number of different laboratories implemented at different Universities. According to these experiences, as
Real life examples – virtual/remotely controlled experiments
There are a number of both online remote labs and that have been simulations introduced in education and training at many Universities (Balamuralithara & Woods, 2009). After definition of fundamental objectives for distance learning laboratories as well as additional requests, and analysis of existing examples, the distance learning laboratory of the University of Kragujevac was developed. The distance learning laboratory includes a number of experiments for industrial engineering education.
Distance learning laboratories in practice
Although different researches (Guimarães et al., 2003, Khalifa and Lam, 2002, Scheckler, 2003, Shin and Chan, 2004) state that virtual laboratories contribute to learning, it was interesting to examine different characteristics of remote and virtual labs. Balamuralithara and Woods (2009) made comparisons between physical, online remote and simulation labs according to cost, equipment, experience, reality, accessibility, supervisions, support and team work, educational benefits, safety and
Conclusion
In the concept of online learning, remote controlled laboratories as well as virtual laboratories have an important place; these laboratories provide an opportunity for practical and laboratory work in an e-learning environment, by remote control of real laboratory equipment and models or by using different simulations.
In this paper, the starting point for development of remote/virtual laboratories should follow the objectives for laboratory learning. Using objectives for laboratory learning,
M. Stefanovic received his PhD on Department of Production and Industrial Engineering, Faculty of Mechanical Engineering University of Kragujevac, Serbia. He is currently associate professor on Department of Industrial Engineering. His current research interest includes web services, information systems, e-learning, and CIM systems. He is member of International Federation for Information Processing – Council TC3 – Education.
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M. Stefanovic received his PhD on Department of Production and Industrial Engineering, Faculty of Mechanical Engineering University of Kragujevac, Serbia. He is currently associate professor on Department of Industrial Engineering. His current research interest includes web services, information systems, e-learning, and CIM systems. He is member of International Federation for Information Processing – Council TC3 – Education.