An investigation into the efficacy of avatar-based systems for student advice
Currie, Edward ORCID: https://orcid.org/0000-0003-1186-5547, Harvey, Pirkko, Daryanani, Padma
ORCID: https://orcid.org/0000-0002-5641-5542, Augusto, Juan Carlos
ORCID: https://orcid.org/0000-0002-0321-9150, Arif, R. and Ali, Almaas
(2016)
An investigation into the efficacy of avatar-based systems for student advice.
EAI Endorsed Transactions on e-Learning, 3
(11)
.
ISSN 2032-9253
[Article]
(doi:10.4108/eai.15-6-2016.151450)
|
PDF
- Published version (with publisher's formatting)
Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview |
|
|
PDF
- Final accepted version (with author's formatting)
Download (593kB) | Preview |
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.
Item Type: | Article |
---|---|
Additional Information: | Article number = e5 |
Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group |
Item ID: | 21013 |
Notes on copyright: | 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. |
Useful Links: | |
Depositing User: | Juan Augusto |
Date Deposited: | 12 Dec 2016 14:23 |
Last Modified: | 29 Nov 2022 21:49 |
URI: | https://eprints.mdx.ac.uk/id/eprint/21013 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.