AI-Human Partnership to Help Students Write Science Explanations

Sadhana Puntambekar, Dana Gnesdilow, Rebecca J. Passonneau, Chan Min Kim

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

1 Scopus citations

Abstract

In this paper, we present a case study of designing AI-human partnerships in a real-world context of science classrooms. We designed a classroom environment where AI technologies, teachers and peers worked synergistically to support students' writing in science. In addition to an NLP algorithm to automatically assess students' essays, we also designed (i) feedback that was easier for students to understand; (ii) participatory structures in the classroom focusing on reflection, peer review and discussion, and (iii) scaffolding by teachers to help students understand the feedback. Our results showed that students improved their written explanations, after receiving feedback and engaging in reflection activities. Our case study illustrates that Augmented Intelligence (USDoE, 2023), in which the strengths of AI complement the strengths of teachers and peers, while also overcoming the limitations of each, can provide multiple forms of support to foster learning and teaching.

Original languageEnglish (US)
Title of host publicationISLS Annual Meeting 2024
Subtitle of host publicationLearning as a Cornerstone of Healing, Resilience, and Community - 18th International Conference of the Learning Sciences, ICLS 2024 - Proceedings
EditorsRobb Lindgren, Tutaleni Asino, Eleni A. Kyza, Chee-Kit Looi, D. Teo Keifert, Enrique Suarez
PublisherInternational Society of the Learning Sciences (ISLS)
Pages234-241
Number of pages8
ISBN (Electronic)9798990698000
DOIs
StatePublished - 2024
Event18th International Conference of the Learning Sciences, ICLS 2024 - Buffalo, United States
Duration: Jun 10 2024Jun 14 2024

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference18th International Conference of the Learning Sciences, ICLS 2024
Country/TerritoryUnited States
CityBuffalo
Period6/10/246/14/24

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

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