@inproceedings{schofield-etal-2021-learning,
title = "Learning How To Learn {NLP}: Developing Introductory Concepts Through Scaffolded Discovery",
author = "Schofield, Alexandra and
Wicentowski, Richard and
Medero, Julie",
editor = "Jurgens, David and
Kolhatkar, Varada and
Li, Lucy and
Mieskes, Margot and
Pedersen, Ted",
booktitle = "Proceedings of the Fifth Workshop on Teaching NLP",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.teachingnlp-1.23",
doi = "10.18653/v1/2021.teachingnlp-1.23",
pages = "131--137",
abstract = "We present a scaffolded discovery learning approach to introducing concepts in a Natural Language Processing course aimed at computer science students at liberal arts institutions. We describe some of the objectives of this approach, as well as presenting specific ways that four of our discovery-based assignments combine specific natural language processing concepts with broader analytic skills. We argue this approach helps prepare students for many possible future paths involving both application and innovation of NLP technology by emphasizing experimental data navigation, experiment design, and awareness of the complexities and challenges of analysis.",
}
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%0 Conference Proceedings
%T Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery
%A Schofield, Alexandra
%A Wicentowski, Richard
%A Medero, Julie
%Y Jurgens, David
%Y Kolhatkar, Varada
%Y Li, Lucy
%Y Mieskes, Margot
%Y Pedersen, Ted
%S Proceedings of the Fifth Workshop on Teaching NLP
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F schofield-etal-2021-learning
%X We present a scaffolded discovery learning approach to introducing concepts in a Natural Language Processing course aimed at computer science students at liberal arts institutions. We describe some of the objectives of this approach, as well as presenting specific ways that four of our discovery-based assignments combine specific natural language processing concepts with broader analytic skills. We argue this approach helps prepare students for many possible future paths involving both application and innovation of NLP technology by emphasizing experimental data navigation, experiment design, and awareness of the complexities and challenges of analysis.
%R 10.18653/v1/2021.teachingnlp-1.23
%U https://aclanthology.org/2021.teachingnlp-1.23
%U https://doi.org/10.18653/v1/2021.teachingnlp-1.23
%P 131-137
Markdown (Informal)
[Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery](https://aclanthology.org/2021.teachingnlp-1.23) (Schofield et al., TeachingNLP 2021)
ACL