The Flipped Classroom model for teaching Conditional Random Fields in an NLP course
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.
- Publication:
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arXiv e-prints
- Pub Date:
- May 2021
- DOI:
- 10.48550/arXiv.2105.07850
- arXiv:
- arXiv:2105.07850
- Bibcode:
- 2021arXiv210507850A
- Keywords:
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- Computer Science - Computers and Society;
- Computer Science - Artificial Intelligence;
- Computer Science - Computation and Language
- E-Print:
- Accepted to the 5th Workshop on Teaching NLP at NAACL-HLT 2021