Linguistics to LLMs: Teaching with and about Chatbots

Ulrike Pado, Barbara Pampel


Abstract
LLM-based methods supersede many approaches in NLP at high velocity, making it necessary to adapt curricula. We argue that this effort also presents a chance to integrate LLM chatbots as learning support. We demonstrate (a) how we re-conceptualized an existing class segment on digital assistance systems to discuss LLM-based chatbots, (b) how we created a specialized instructional chatbot as a demonstrator that students could directly use for learning and revision and (c) how students’ initial perception of LLM-based AI changed due to instruction.
Anthology ID:
2026.teachingnlp-1.4
Volume:
Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
Month:
March
Year:
2026
Address:
Rabat, Morocco
Editors:
Matthias Aßenmacher, Laura Biester, Claudia Borg, György Kovács, Margot Mieskes, Sofia Serrano
Venues:
TeachingNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
19–29
Language:
URL:
https://preview.aclanthology.org/ingest-eacl/2026.teachingnlp-1.4/
DOI:
Bibkey:
Cite (ACL):
Ulrike Pado and Barbara Pampel. 2026. Linguistics to LLMs: Teaching with and about Chatbots. In Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026), pages 19–29, Rabat, Morocco. Association for Computational Linguistics.
Cite (Informal):
Linguistics to LLMs: Teaching with and about Chatbots (Pado & Pampel, TeachingNLP 2026)
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PDF:
https://preview.aclanthology.org/ingest-eacl/2026.teachingnlp-1.4.pdf