2026-06-21T08:13:54Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/62502021-11-30T01:00:28Zcom_10259_4219com_10259_5086com_10259_2604com_10259_5841col_10259_4220col_10259_5842
Repositorio Institucional de la Universidad de Burgos
author
Ochoa Orihuel, Javier
author
Marticorena Sánchez, Raúl
author
Sáiz Manzanares, María Consuelo
2021-11-29T08:58:39Z
2021-11-29T08:58:39Z
2020-09
2076-3417
http://hdl.handle.net/10259/6250
10.3390/app10196859
The frequency of interaction between teachers and students through Learning Management Systems (LMSs) is continuously rising. However, recent studies highlight the challenges presented in current LMSs to meet the specific needs of the student, regarding usability and learnability. With the motivation to support the research of effectiveness when using a Voice User Interface (VUI) for education, this paper presents the work done (RQ1) to build the basic architecture for an Alexa skill for educational purposes, including its integration with Moodle, and (RQ2) to establish whether Moodle currently provides the necessary tools for voice-content creation for develop voice-first applications, aiming to provide new scientific insight to help researchers on future works of similar characteristics. As a result of this work, we provide guidelines for the architecture of an Alexa skill application integrated with Moodle through safe protocols, such as Alexa’s Account Linking Web Service, while our findings ratify the need for additional tooling within Moodle platform for voice-content creation in order to create an appealing voice experience, with the capabilities to process Moodle data structures and produce sensible sentences that can be understood by users when spoken by a voice device.
eng
Atribución 4.0 Internacional
Moodle LMS
Amazon Alexa
Education
e-learning
Intelligent personal assistant
Voice-content
Usability
Moodle LMS Integration with Amazon Alexa: A Practical Experience
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/6250/1/Ochoa-as_2020.pdf
File
MD5
13ed9f3a2790ce719b5600de459d041c
1728892
application/pdf
Ochoa-as_2020.pdf