Exploring the Graphical Interface of Knowledge Structure for Science Texts

EasyChair Preprint no. 3933

Abstract

The current study explored the utility of a computerized program called the Graphical Interface of Knowledge Structure (GIKS) that generates and compares a network from a student essay and a master text. We compared different structures of master texts on the same content and also compared GIKS-identified nodes and links to those scored by human experts. We found that GIKS was able to improve node identification from essays by using regular expressions.

Keyphrases: automatic scoring, GIKS, knowledge structure, Pathfinder, science text

@Booklet{EasyChair:3933,
  author = {Keith Millis and Kyung Kim and Mollie Partee and Madison Milburn and Anne Britt and Christian Steciuch},
  title = {Exploring the Graphical Interface of Knowledge Structure for Science Texts},
  howpublished = {EasyChair Preprint no. 3933},

  year = {EasyChair, 2020}}