The Flipped Classroom model for teaching Conditional Random Fields in an NLP course

Manex Agirrezabal


Abstract
In this article, we show and discuss our experience in applying the flipped classroom method for teaching Conditional Random Fields in a Natural Language Processing course. We present the activities that we developed together with their relationship to a cognitive complexity model (Bloom’s taxonomy). After this, we provide our own reflections and expectations of the model itself. Based on the evaluation got from students, it seems that students learn about the topic and also that the method is rewarding for some students. Additionally, we discuss some shortcomings and we propose possible solutions to them. We conclude the paper with some possible future work.
Anthology ID:
2021.teachingnlp-1.13
Volume:
Proceedings of the Fifth Workshop on Teaching NLP
Month:
June
Year:
2021
Address:
Online
Editors:
David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen
Venue:
TeachingNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
80–86
Language:
URL:
https://aclanthology.org/2021.teachingnlp-1.13
DOI:
10.18653/v1/2021.teachingnlp-1.13
Bibkey:
Cite (ACL):
Manex Agirrezabal. 2021. The Flipped Classroom model for teaching Conditional Random Fields in an NLP course. In Proceedings of the Fifth Workshop on Teaching NLP, pages 80–86, Online. Association for Computational Linguistics.
Cite (Informal):
The Flipped Classroom model for teaching Conditional Random Fields in an NLP course (Agirrezabal, TeachingNLP 2021)
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PDF:
https://aclanthology.org/2021.teachingnlp-1.13.pdf
Optional supplementary material:
 2021.teachingnlp-1.13.OptionalSupplementaryMaterial.pdf