"Enhancing the Accuracy of Predicting Students Grades in Open-Ended ..."

Masaki Koike et al. (2024)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-30

- view
  - electronic edition @ educationaldatamining.org
- export record
  dblp key:
  - conf/edm/KoikeKHYF24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/edm/KoikeKHYF24
Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights. EDM 2024

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.