Variable interactivity with dynamic control strategies in remote laboratory experiments

Maiti, Ananda and Kist, Alexander A. and Maxwell, Andrew D. (2016) Variable interactivity with dynamic control strategies in remote laboratory experiments. In: 13th International Conference on Remote Engineering and Virtual Instrumentation (REV 2016), 24-26 Feb 2016, Madrid, Spain.

Abstract

Remote Access Laboratories (RAL) provide mechanisms to operate an experimental setup through the internet for educational purposes. These setups contain a control mechanism that reads inputs from the users, process them and return output data. Based on interactivity between user and experiment, the experiments are classified as interactive or batched. This paper defines the interactivity as a continuum from interactive to batched. This enables the experiment to alter the interactivity level for different outcomes. It may be changed when the network conditions are adverse and does not allow the interactive experiments to operate as they should for proper learning outcomes. It may also be altered by the makers of the experiment to design separate user interfaces for different learning goals or educational settings. A procedure to identify commands or functions that may be executed on the experiment and the relationship between different levels of commands are described here.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2016 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: 17 Feb 2017 06:01
Last Modified: 05 Jun 2017 04:29
Uncontrolled Keywords: e-learning, remote laboratories, human-computer interaction
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing
09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970113 Expanding Knowledge in Education
Identification Number or DOI: 10.1109/REV.2016.7444516
URI: http://eprints.usq.edu.au/id/eprint/30657

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