An investigation into the efficacy of avatar-based systems for student advice
Article
Currie, E., Harvey, P., Daryanani, P., Augusto, J., Arif, R. and Ali, A. 2016. An investigation into the efficacy of avatar-based systems for student advice. EAI Endorsed Transactions on e-Learning. 3 (11). https://doi.org/10.4108/eai.15-6-2016.151450
Type | Article |
---|---|
Title | An investigation into the efficacy of avatar-based systems for student advice |
Authors | Currie, E., Harvey, P., Daryanani, P., Augusto, J., Arif, R. and Ali, A. |
Abstract | Student support is an important function in all universities. Most students expect access to support 24/7, but support staff cannot be available at all times of day. This paper addresses this problem, describing the development of an avatar-based system to guide students through the materials provided by a university student employability service. Firstly, students and staff were surveyed to establish the demand for such a system. The system was then constructed. Finally, the system was evaluated by students and staff, which led to a clearer understanding of the optimal role for avatar-based systems and consequent improvements to the system’s functionality. |
Research Group | Research Group on Development of Intelligent Environments |
Publisher | Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST) |
Journal | EAI Endorsed Transactions on e-Learning |
ISSN | 2032-9253 |
Publication dates | |
15 Jun 2016 | |
Publication process dates | |
Deposited | 12 Dec 2016 |
Accepted | 04 May 2016 |
Output status | Published |
Publisher's version | License |
Accepted author manuscript | |
Copyright Statement | Copyright © 2016 E. Currie et al., licensed to EAI. This is an open access article under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited. |
Digital Object Identifier (DOI) | https://doi.org/10.4108/eai.15-6-2016.151450 |
Language | English |
https://repository.mdx.ac.uk/item/86vvx
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