Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.
Published June 9, 2021 | Version v3
Conference paper Open

Automatic classification of incorrect answers to differentiation questions using Potential Response Tree

  • 1. Nagoya University
  • 2. Ryukoku University
  • 3. Osaka Prefecture University
  • 4. Shizuoka University
  • 5. National Institute of Technology
  • 6. Sangensha

Description

In this study, the authors focus on Potential Response Tree (PRT) with which users may define rules to classify answers and give feedbacks/partial credit by how they are incorrect or incomplete. Various incorrect answers need to be considered for each question, depending on the combination of elementary functions that make up the question. We categorize differentiation questions and propose an algorithm to classify incorrect answers automatically using a PRT according to the type of questions.

Files

STACK_Conf_Paper_2021_Nakamura_v4.pdf

Files (551.0 kB)

Name Size Download all
md5:a03e4acaf1fe12ad05202ba0d43402be
551.0 kB Preview Download