Automated Support to Scaffold Students’ Written Explanations in Science

Purushartha Singh, Rebecca J. Passonneau, Mohammad Wasih, Xuesong Cang, ChanMin Kim, Sadhana Puntambekar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In principle, educators can use writing to scaffold students’ understanding of increasingly complex science ideas. In practice, formative assessment of students’ science writing is very labor intensive. We present PyrEval+CR, an automated tool for formative assessment of middle school students’ science essays. It identifies each idea in a student’s science essay, and its importance in the curriculum.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 23rd International Conference, AIED 2022, Proceedings
EditorsMaria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages660-665
Number of pages6
ISBN (Print)9783031116438
DOIs
StatePublished - 2022
Event23rd International Conference on Artificial Intelligence in Education, AIED 2022 - Durham, United Kingdom
Duration: Jul 27 2022Jul 31 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13355 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Artificial Intelligence in Education, AIED 2022
Country/TerritoryUnited Kingdom
CityDurham
Period7/27/227/31/22

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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