Linxen, AndreaOpel, SimoneEbbing, StephanieBeecks, ChristianRöpke, RenéSchroeder, Ulrik2023-08-302023-08-302023978-3-88579-732-6https://dl.gi.de/handle/20.500.12116/42218Digitization and artificial intelligence (AI) have entered education in several different ways. While the current development of large language models enables students to access vast knowledge, virtual tutors offer a more tailored approach and better support for time-independent and individualized learning. As several AI systems have become more common in higher education, we developed a concept to implement a virtual tutor with different teaching styles, using the conversational AI plat-form Rasa. This tutor teaches students basic Exploratory Data Analysis in linear, free, and modular learning phases. In the future, we will conduct comprehensive studies to determine the ability of the virtual tutor to support successful learning.enVirtual TutorRasa FrameworkNLPchatbotlearning phaseslearning analyticsText/Conference Paper10.18420/delfi2023-561617-5468