Interactive Collaborative Learning with Explainable Artificial Intelligence

In the summer term 2021, students of computer science have developed and implemented several variants of an Artificial Intelligence that is able to learn string patterns from examples. Every AI is able to answer questions about its behavior, thus, being Explainable AI (XAI). In the summer term 2022, such an XAI is deployed in higher education. Students are encouraged to collaboratively experiment with the XAI. The learning goal is to find out what the XAI is doing and why it is acting in the way observed. There is no need of a human teacher interference. Students learn collaboratively by interacting with the XAI and from chatting with the system about the way it is doing its job. In a sense, the XAI is a domain expert introducing students to its business and disseminating its topical knowledge when being asked to do so. The recent XAI deployment demonstrates the effectiveness of this approach.