Learning to Center Relational Ontologies: Desettling Interaction Analysis Methods

Rishi Krishnamoorthy, Colin Hennessy Elliott, Jasmine Y. Ma, Megan Bang, Ananda Marin

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

8 Scopus citations

Abstract

In this symposium we work toward our responsibility in learning how to be human through a deep reciprocal relationship to and with the more than human, by interrogating an influential method in the learning sciences, interaction analysis. As settler scholars learning to “set aside the ways of the colonist” (Kimmerer, 2013, p. 207) we aim to think with Indigenous Ways of Knowing (IWOK) to reinterpret the methodological commitments of interaction analysis. In acknowledgment of the continual learning required for this goal, we propose a symposium where authors and audience members learn together, engaging in two iterations of a video analysis session around the same piece of data: one using more traditional interaction analysis methods, and one engaging with our emerging understandings of a relational ontology. Our two discussants, leading scholars of both IWOK and interaction analysis in the learning sciences will support analysis sessions and subsequent discussion.

Original languageEnglish (US)
Title of host publicationISLS Annual Meeting 2021 Reflecting the Past and Embracing the Future - 15th International Conference of the Learning Sciences, ICLS 2021
EditorsErica de Vries, Yotam Hod, June Ahn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages851-858
Number of pages8
ISBN (Electronic)9781737330615
StatePublished - 2021
Event15th International Conference of the Learning Sciences, ICLS 2021 - Virtual, Online
Duration: Jun 8 2021Jun 11 2021

Publication series

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

Conference

Conference15th International Conference of the Learning Sciences, ICLS 2021
CityVirtual, Online
Period6/8/216/11/21

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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