Fostering students' idea generation through corpus-based recommendation in online writing environment

Calvin C.Y. Liao, Hercy N.H. Cheng, Wan Chen Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Idea generation plays an important role in the writing process. The use of natural language techniques to mine semantic relationships between vocabularies or sentences in order to provide students with more suitable contents for writing ideas. Therefore, this study developed a corpus-based Chinese writing recommendation system. This study collects, analyzes, processes, and constructs a primary school corpus with 580,000 written texts, and develops a vocabulary and sentence recommendation mechanism for writing. 37 fourth-year students are invited to participate in the evaluation. The study found that students provided 60% of the candidate vocabularies or sentences they provided, but 40% of the candidate vocabularies or sentences were not applicable. Furthermore, students had more than 60% positive attitude towards the system.

Original languageEnglish
Title of host publicationICCE 2018 - 26th International Conference on Computers in Education, Work-in-Progress Poster Proceedings
EditorsMa. Mercedes T. Rodrigo, Sagaya Amalathas, Andrei D. Coronel, Jie Chi Yang, Yanjie Song, Jihong Ding, Maiga Chang, Lung-Hsiang Wong
PublisherAsia-Pacific Society for Computers in Education
Pages16-18
Number of pages3
ISBN (Electronic)9789869401272
StatePublished - 24 Nov 2018
Event26th International Conference on Computers in Education, ICCE 2018 - Metro Manila, Philippines
Duration: 26 Nov 201830 Nov 2018

Publication series

NameICCE 2018 - 26th International Conference on Computers in Education, Work-in-Progress Poster Proceedings

Conference

Conference26th International Conference on Computers in Education, ICCE 2018
Country/TerritoryPhilippines
CityMetro Manila
Period26/11/1830/11/18

Keywords

  • Idea generation
  • Sentence similarity computation
  • Word vector
  • Writing recommendation

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