Enhancing student support via the application of a voice user interface system
Conference paper
Seeroo, O. and Bekaroo, G. 2021. Enhancing student support via the application of a voice user interface system. icARTi 2021. Virtual Event, Mauritius 09 - 10 Dec 2021 Association for Computing Machinery (ACM). pp. 1-6 https://doi.org/10.1145/3487923.3487936
Type | Conference paper |
---|---|
Title | Enhancing student support via the application of a voice user interface system |
Authors | Seeroo, O. and Bekaroo, G. |
Abstract | Within higher education, student support is essential to enhance student learning experiences in order to improve academic success. Key struggles that Computer Science students face during their studies at university include academic writing and programming. As such, many students find these topics challenging whereby even reducing interest in the subject. With the significant growth of technology during recent years to bridge the gap of human computer interaction with the real world, Voice User Interfaces (VUI) can potentially be used as solution within student support systems. This paper investigates the application of a VUI system aimed at providing student support and derives insights on user experience. As part of this study, a VUI prototype was designed and implemented to help Computer Science students in their studies by providing academic guides notably on academic writing, referencing, and programming. Evaluation involved the application of the User Experience Questionnaire (UEQ) to assess three constructs notably, response behavior, response quality and compensability. |
Conference | icARTi 2021 |
Page range | 1-6 |
Proceedings Title | Proceedings of the International Conference on Artificial Intelligence and its Applications |
ISBN | |
Hardcover | 9781450385756 |
Publisher | Association for Computing Machinery (ACM) |
Publication dates | |
Online | 28 Oct 2021 |
09 Dec 2021 | |
Publication process dates | |
Deposited | 08 Nov 2021 |
Accepted | 20 Aug 2021 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1145/3487923.3487936 |
Language | English |
Book title | icARTi '21: Proceedings of the International Conference on Artificial Intelligence and its Applications |
https://repository.mdx.ac.uk/item/8991v
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