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Brisson, Segarra and Smits present a didactically-driven LLM teacher assistant for a university dimensional modeling (data warehousing) course. Unlike most educational chatbots that delegate pedagogical decisions implicitly to the LLM, their system makes content selection and didactic structuring explicit and traceable: tutoring strategy is encoded in an external didactic layer that the LLM executes, so tutoring behavior can be evaluated and reproduced. The design responds directly to the opacity critique raised in Rethinking Scaffolding LLM Tutors and complements retrieval-grounded designs such as Retrieval Augmented Tutoring Algorithm Kite and safety-layered tutors like Eduguard Safe RAG LLM Tutor. As an instructor-facing pedagogical agent it sits alongside Teachingcoach Chatbot Instructor Guidance, and its explicit didactic structuring exemplifies principled Instructional Design applied to LLM tutoring in CS Education.

Connected Concepts

  • CS Education
  • Socratic Method
  • Instructional Design
  • Affective Tutoring
  • Socratic AI Dialogue
  • Help Seeking
  • Pedagogical Agent
  • Automated Question Generation
  • Connected Articles

  • Rethinking Scaffolding LLM Tutors
  • Retrieval Augmented Tutoring Algorithm Kite
  • Eduguard Safe RAG LLM Tutor
  • Teachingcoach Chatbot Instructor Guidance
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  • Aaai2026 Prompting Literacy K12
  • Academiclaw Student Agent Benchmark
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  • Adaptive Pretesting Retention
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  • Citation

    Laurent Brisson, Maria Segarra, Grégory Smits (2026). A didactical-driven teacher assistant for a dimensional modeling course. arXiv:2607.22598.