We are announcing the launch of AIMT agent, an AI-powered conversational agent developed for the MSc in Immersive Technologies - Innovation in Education, Training and Game Design. Its purpose is to provide information regarding the MSc program to prospective students, and to support current students in their postgraduate studies by using the resources in their enrolled courses in order to provide guidance regarding their coursework.

IMT agent operates within the Moodle platform and can be found as a block on the right drawer of the Home page.

This first release is aimed at assessing the initial usability and functionality aspects of the agent. (TRY NOW AIMT)

AIMT agent is an AI-powered conversational agent developed for the MSc in Immersive Technologies - Innovation in Education, Training and Game Design. Its purpose is to provide information regarding the MSc program to prospective students, and to support current students in their postgraduate studies by using the resources in their enrolled courses in order to provide guidance regarding their coursework.

The conversational agent is implemented as a Moodle block plugin. The block can be found in the drawer on the right-hand side of the Home page (block version), as well as the Dashboard page (expanded version), as shown in the images below.

The block of the conversational agent (shown in Figure 1) is divided in two main areas. The first area is the message box where the conversational agent prints its messages to the user, and the second area is the avatar with its animations.

The users type their question in the textbox at the bottom of the block. The users can also use voice to enter their questions by pressing the  icon. The agent then replies by displaying the answer in the conversation area. The agent’s reply can also be delivered using speech if the speaker icon located on the top right corner of the block is enabled ( ). Note that the speech recognition function is not available on the Firefox browser.

Initially, when the block’s UI is loaded, the agent greets the user and displays reminders for assignment deadlines and information on independent study and the thesis. The user can then interact with the agent in the ways described in the following table:

Please note that all questions and responses on the conversational agent are collected in order to a) evaluate the quality of the answers and help improve the agent, and b) determine the students’ needs and introduce new capabilities in the future. All collected data are anonymous.