# Moodle LMS Integration with Amazon Alexa: A Practical Experience
## 2 Related Work
### Studies with no Smart Speakers Use  
In his work, [PERSON] et al. [26] propose a solution which links an E-education system, such as Moodle, via Interactive Voice Response (IVR), a technology that enables a computer to interact with humans through the use of voice and tones input produced by a keypad. The use of IVR applications could prove to be very beneficial, allowing the extension of operational business hours, reducing the waiting time for callers, and providing service to multiple users simultaneously, which would enhance service quality and the overall student's satisfaction. This study is a straightforward specification on how the prototype was implemented, and so there are no conclusions or outcomes we could use on our work regarding the impacts that such a prototype has on the users. A solution for peer-to-peer (P2P) assessment using voice recordings is researched by [PERSON] et al. [27]. The authors implemented a chatbot using an existing Instant Messaging (IM) platform (Telegram), which integrated with a massive open online course (MOOC). Using the API provided by Telegram, the chatbot was developed to interact in a conversation with the student. There could be two possible conversation paths. On a normal interaction, the chatbot would ask a question to the user via text message. The user would then answer using the microphone capabilities of Telegram app, and the audio would be sent back to the chatbot for further processing and assessment. The second conversation path would be triggered if the user would send the custom-made evaluation command. The chatbot would present the original text question and the given audio answer so that the user could listen to it and provide a grade (on a scale from 1 to 10). A prototype implementation of a VUI is discussed in the work by [PERSON] et al. [28]. The Learning Intelligent System for Student Assistance or LISSA, a name given to the prototype, is a personal assistant whose goal is to monitor the performance of tasks related to students' curriculum, to assist them along the learning process. LISSA's prototype takes the form of an Android app, implemented using Java programming language, and interacts with the DeLC 2.0 educational portal, which is a software project for developing an environment to support virtual education [36]. For our work, we found it highly beneficial to learn that several problems were found during the implementation of the LISSA's prototype and gather knowledge on how those issues were overcome. During the development process, it was found that the process for voice recognition was highly complex, categorized by the authors as an \"entire scientific area\". [PERSON] et al. [28], noted as well that recognizing voice commands does require a large amount of resources from the device, which impacted the drain of the device battery, considered by the authors as a valuable resource. \begin{table}
\begin{tabular}{l l l l} \hline \hline
**Article** & **Voice Platform** & **LMS** & **Development Tools** \\ \hline [PERSON] et al. [26] & Interactive Voice & & \\  & Response (IVR) & & - \\ [PERSON] et al. [27] & Telegram app & open-MOOC & PHP, MYSQL \\ [PERSON] et al. [28] & Android app & DeLC 2.0 & Java, CMUSphinx [29] \\ [PERSON] et al. [30] & Google Simulator & Moodle & PHP, DialogFlow [31] \\ [PERSON] et al. [32] & Google Home / & & \\  & Amazon Alexa & & \\  & & & \\ [PERSON] and [PERSON] [33] & - & & \\  & & & Development Framework) [34] \\ [PERSON] [35] & Amazon Alexa & Moodle & LAMP framework, Let’s Encrypt \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison of studies. [PERSON] et al. [30] argue that VUIs are quickly becoming suitable for various practical purposes in daily life, in addition to a VUI being an effective and intuitive interface to be used by many people, and so they describe the development process of a prototype VUI aiming for Moodle Quizzes used for educational purposes.