Time scheduling in a peer-to-peer remote access laboratory for STEM education

Maiti, Ananda and Kist, Alexander A. and Maxwell, Andrew D. (2015) Time scheduling in a peer-to-peer remote access laboratory for STEM education. In: 3rd IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2014): Learning for the Future Now, 8-10 Dec 2014, Wellington, New Zealand.

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Remote Access Laboratories (RAL) are online environments that allow users to access instruments through the Internet. Such environments enable users to control equipment and collect data without being present in the laboratory. This also means that users work in a disjoint manner and cannot co-ordinate equipment usage directly with each other, as they would do in regular on-site laboratories. Remote laboratory management systems deal with scheduling users, as most instruments cannot process multiple users' requests at the same time. Two scheduling strategies are predominantly used in RALs: time slotting and the queuing. This is straightforward in centralised, service-oriented environments, in particular, when instruments are available continuously throughout the day. In this paper, time scheduling in the context of a Distributed Peer-to-peer Remote laboratory featuring quest-based learning, is discussed. Here interaction with the entire system is organised around a set of learning activities or quests. This includes the experiments designed by users and the sharing of experiments by users. The providers of the experiments have the flexibility to put their systems online as per their capabilities. As such, the experiments availability become scarcer and must be judiciously assigned to the users who need them most.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2014 IEEE. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 24 Apr 2015 02:44
Last Modified: 30 May 2017 01:40
Uncontrolled Keywords: remote laboratory; scheduling; peer-to-peer network; e-learning systems; learning management system
Fields of Research : 13 Education > 1301 Education Systems > 130199 Education systems not elsewhere classified
08 Information and Computing Sciences > 0805 Distributed Computing > 080599 Distributed Computing not elsewhere classified
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/TALE.2014.7062615
URI: http://eprints.usq.edu.au/id/eprint/27111

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