@inproceedings{pado-pampel-2026-linguistics-llms,
title = "Linguistics to {LLM}s: Teaching with and about Chatbots",
author = "Pado, Ulrike and
Pampel, Barbara",
editor = {A{\ss}enmacher, Matthias and
Biester, Laura and
Borg, Claudia and
Kov{\'a}cs, Gy{\"o}rgy and
Mieskes, Margot and
Serrano, Sofia},
booktitle = "Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.teachingnlp-1.4/",
pages = "19--29",
ISBN = "979-8-89176-375-3",
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."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="pado-pampel-2026-linguistics-llms">
<titleInfo>
<title>Linguistics to LLMs: Teaching with and about Chatbots</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ulrike</namePart>
<namePart type="family">Pado</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Barbara</namePart>
<namePart type="family">Pampel</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-03</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Matthias</namePart>
<namePart type="family">Aßenmacher</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Laura</namePart>
<namePart type="family">Biester</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Claudia</namePart>
<namePart type="family">Borg</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">György</namePart>
<namePart type="family">Kovács</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Margot</namePart>
<namePart type="family">Mieskes</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sofia</namePart>
<namePart type="family">Serrano</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Rabat, Morocco</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-375-3</identifier>
</relatedItem>
<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.</abstract>
<identifier type="citekey">pado-pampel-2026-linguistics-llms</identifier>
<location>
<url>https://aclanthology.org/2026.teachingnlp-1.4/</url>
</location>
<part>
<date>2026-03</date>
<extent unit="page">
<start>19</start>
<end>29</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Linguistics to LLMs: Teaching with and about Chatbots
%A Pado, Ulrike
%A Pampel, Barbara
%Y Aßenmacher, Matthias
%Y Biester, Laura
%Y Borg, Claudia
%Y Kovács, György
%Y Mieskes, Margot
%Y Serrano, Sofia
%S Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-375-3
%F pado-pampel-2026-linguistics-llms
%X 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.
%U https://aclanthology.org/2026.teachingnlp-1.4/
%P 19-29
Markdown (Informal)
[Linguistics to LLMs: Teaching with and about Chatbots](https://aclanthology.org/2026.teachingnlp-1.4/) (Pado & Pampel, TeachingNLP 2026)
ACL