An Investigation into the Pedagogical Features of Documents

Emily Sheng, Prem Natarajan, Jonathan Gordon, Gully Burns


Abstract
Characterizing the content of a technical document in terms of its learning utility can be useful for applications related to education, such as generating reading lists from large collections of documents. We refer to this learning utility as the “pedagogical value” of the document to the learner. While pedagogical value is an important concept that has been studied extensively within the education domain, there has been little work exploring it from a computational, i.e., natural language processing (NLP), perspective. To allow a computational exploration of this concept, we introduce the notion of “pedagogical roles” of documents (e.g., Tutorial and Survey) as an intermediary component for the study of pedagogical value. Given the lack of available corpora for our exploration, we create the first annotated corpus of pedagogical roles and use it to test baseline techniques for automatic prediction of such roles.
Anthology ID:
W17-5012
Volume:
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venues:
BEA | WS
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
109–120
Language:
URL:
https://www.aclweb.org/anthology/W17-5012
DOI:
10.18653/v1/W17-5012
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-5012.pdf