Selecting NLP Techniques to Evaluate Learning Design Objectives in Collaborative Multi-perspective Elaboration Activities

Aneesha Bakharia


Abstract
PerspectivesX is a multi-perspective elaboration tool designed to encourage learner submission and curation across a range of collaborative learning activities. In this paper, it is shown that the learning design objectives of collaborative learning activities can be evaluated using NLP techniques, but that careful analysis of learner impact and pedagogical intent are required in order to select appropriate techniques. In particular, this paper focuses on the NLP techniques required to deliver an instructor dashboard, personalized learner feedback and content recommendation within multi-perspective elaboration activities. Key NLP techniques considered for inclusion include summarization, topic modeling, paraphrase detection and diversified content recommendation.
Anthology ID:
W18-3712
Volume:
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Yuen-Hsien Tseng, Hsin-Hsi Chen, Vincent Ng, Mamoru Komachi
Venue:
NLP-TEA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
88–92
Language:
URL:
https://aclanthology.org/W18-3712
DOI:
10.18653/v1/W18-3712
Bibkey:
Cite (ACL):
Aneesha Bakharia. 2018. Selecting NLP Techniques to Evaluate Learning Design Objectives in Collaborative Multi-perspective Elaboration Activities. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 88–92, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Selecting NLP Techniques to Evaluate Learning Design Objectives in Collaborative Multi-perspective Elaboration Activities (Bakharia, NLP-TEA 2018)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/W18-3712.pdf