Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education

Javier Muñoz, Felipe Bravo-Marquez


Abstract
We present a new task in educational NLP, recommend the best interventions to help special needs education professionals to work with students with different disabilities. We use the professionals’ observations of the students together with the students diagnosis and other chosen interventions to predict the best interventions for Chilean special needs students.
Anthology ID:
2021.bea-1.18
Volume:
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
April
Year:
2021
Address:
Online
Editors:
Jill Burstein, Andrea Horbach, Ekaterina Kochmar, Ronja Laarmann-Quante, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
171–179
Language:
URL:
https://aclanthology.org/2021.bea-1.18
DOI:
Bibkey:
Cite (ACL):
Javier Muñoz and Felipe Bravo-Marquez. 2021. Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education. In Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, pages 171–179, Online. Association for Computational Linguistics.
Cite (Informal):
Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education (Muñoz & Bravo-Marquez, BEA 2021)
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PDF:
https://aclanthology.org/2021.bea-1.18.pdf