Détail du document
Identifiant
oai:arXiv.org:2408.05664
Sujet
Computer Science - Computation and...Auteur
Prasad, Grusha Davis, ForrestCatégorie
Computer Science
Année
2024
Date de référencement
14/08/2024
Mots clés
skills ableRésumé
The rapid growth in natural language processing (NLP) over the last couple years has generated student interest and excitement in learning more about the field.
In this paper, we present two types of students that NLP courses might want to train.
First, an "NLP engineer" who is able to flexibly design, build and apply new technologies in NLP for a wide range of tasks.
Second, an "NLP scholar" who is able to pose, refine and answer questions in NLP and how it relates to the society, while also learning to effectively communicate these answers to a broader audience.
While these two types of skills are not mutually exclusive -- NLP engineers should be able to think critically, and NLP scholars should be able to build systems -- we think that courses can differ in the balance of these skills.
As educators at Small Liberal Arts Colleges, the strengths of our students and our institution favors an approach that is better suited to train NLP scholars.
In this paper we articulate what kinds of skills an NLP scholar should have, and then adopt a backwards design to propose course components that can aid the acquisition of these skills.
;Comment: 9 pages, Presented at 6th Workshop on Teaching NLP
Prasad, Grusha,Davis, Forrest, 2024, Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal
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