Using virtual teaching assistant: aim of promoting reflection on a specific topic area or on a practical learning task and generally learning reflection as a (learning) competence. To consolidate the learning material of a lecture, a chatbot asks students to explain the core statements of the previous lecture, asks questions and responds to the users’ answers (Raunig, 2020).
Source: Raunig, M. (2020). Künstliche Interaktionspartner* innen an Hochschulen. BoD–Books on Demand.
Examples:
Are You Talking to Me? Using Chatbots for Coaching and Reflecting – OEB Insights
Rebo at Work – Rebo at Work (know-center.at) – german text
No-Code Chatbot Builder | Landbot
Landbot.io offers structured conversations; no (free) chat text possibilites. Interaction takes place with the help of predefined answer buttons and various question types, which can be used to enter one’s own name, e-mail address and other data. The tool offers creating conditions, input user-specific variables, etc. or connection to other web services. Templates available. No coding necessary.
Dialogflow | Google Cloud
“Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product.
Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech.”
Dialogflow Documentation | Google Cloud