Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs

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Authors: Li, Junyi Jessy, Yang Janet Liu, Kanishka Misra, Valentina Pyatkin, William Sheffield
Cited by: 0

Abstract

The field of NLP has undergone vast, continuous transformations over the past few years, sparking debates going beyond discipline boundaries. This begs important questions in education: how do we design courses that bridge sub-disciplines in this shifting landscape? This paper explores this question from the angle of discourse processing, an area with rich linguistic insights and computational models for the intentional, attentional, and coherence structure of language. Discourse is highly relevant for open-ended or long-form text generation, yet this connection is under-explored in existing undergraduate curricula. We present a new course, "Computational Discourse and Natural Language Generation". The course is collaboratively designed by a team with complementary expertise and was offered for the first time in Fall 2025 as an upper-level undergraduate course, cross-listed between Linguistics and Computer Science. Our philosophy is to deeply integrate the theoretical and empirical aspects, and create an exploratory mindset inside the classroom and in the assignments. This paper describes the course in detail and concludes with takeaways from an independent survey as well as our vision for future directions.

Fields of Study & Subjects

Natural Language Processing Techniques Discourse Analysis in Language Studies Teaching and Learning Programming

Publication details

Journal / source
arXiv (Cornell University)
Publication date
2 February 2026
Document type
Preprint