{"id":26493,"date":"2025-11-03T10:15:01","date_gmt":"2025-11-03T09:15:01","guid":{"rendered":"https:\/\/daisec.de\/?page_id=26493"},"modified":"2025-11-03T16:08:58","modified_gmt":"2025-11-03T15:08:58","slug":"ki-chatbot-unterricht-lernen","status":"publish","type":"page","link":"https:\/\/daisec.de\/en\/praxisbeispiele\/ki-chatbot-unterricht-lernen\/","title":{"rendered":"Hybrid learning with AI: A chatbot for teaching"},"content":{"rendered":"
\n \n
\n \n \n
\n \n
\n
\n
\n \n
\n
<\/div>\n <\/div>\n <\/div>\n
\n \n
\n
<\/div>\n <\/div>\n <\/div>\n
\n \n
\n
<\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n \n
\n
\n \n \n
\n \n
\n \n \n
\n

Vocational education faces the challenge of integrating modern technologies into teaching in a meaningful way, especially where students need individual support that goes beyond mere classroom attendance. Against this backdrop, BBS Burgdorf came up with the idea of combining digital learning support with the expert knowledge of teachers using artificial intelligence.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

\n \n \n
\n \n
\n \n
\n \n
\n
\n \n \n
\n \n
\n \n
\n \n \n
How can AI support teaching?<\/h5>\n <\/div>\n <\/div>\n
\n \n \n
\n

The goal of BBS Burgdorf was to develop an AI-based chatbot that would be available to students as a supplementary resource outside of class. Instead of relying on internet sources or social media for answers to their questions, learners would have access to a reliable tool that provides well-founded answers based on the school's teaching materials. The chatbot was to be used in particular in the one-year \u201cBFS dual\u201d educational program, in which, after an orientation phase, a decision is made as to whether students will be prepared for a vocational college level or a technical college entrance qualification. It is during this phase in particular that the need for individual support is especially high.<\/p>\n <\/div>\n <\/div>\n

\n \n <\/div>\n
\n \n
\n \n
\n
\n \n \n
\n \n
\n \n
\n \n \n
An AI-supported assistance system for learners<\/h5>\n <\/div>\n <\/div>\n
\n \n \n
\n

The project was launched in close cooperation with DAISEC for technical implementation. The first step was to design an AI chatbot that can answer questions from students based on pedagogically verified content provided by teachers. What makes this project unique is that all language models used were operated locally and in compliance with data protection regulations via infrastructures in Lower Saxony, in order to ensure the protection of underage users in particular.<\/p>\n

Initially, the prototype ran on the DAISEC server structure at the\n L3S Research Center<\/a>, but was later moved to the scalable\n KISSKI<\/a>infrastructure. This solution not only enables data protection-compliant use, but is also designed for a growing number of users\u2014up to 120 in the pilot project.<\/p>\n

\n
\n <\/p>\n

Technically, the system consists of three components:<\/p>\n