Mapping the Complexities and Benefits of Research-Design Partnerships

Emma Mercier, Lu Etta Mae Lawrence, June Ahn, Christopher Wegemer, Maya Benichou, Yael Kali, Yotam Hod, Marcela Borge, Kimberley Gomez, Ung Sang Lee, Susan McKenney, Cindy Poortman, Paula Arce-Trigatti, Britte Haugan Cheng

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

1 Scopus citations

Abstract

Increasingly our field is recognizing the necessity of close, collaborative relationships with educators, policy makers, students and other potential stakeholders if our design and research work is to have a lasting and more equitable impact on education. However, this work is not easy or quick, and we lack both detailed examples of how it is done and training for new (and current) scholars in how to do it. This symposium brings together a group of scholars who actively engage in RPPs and DBIR in order to highlight the lessons that have been learned and extend our discourse into the realities of this work, how to prepare students and current scholars to design their work with partners at the center, and how to accurately plan for work that engages stakeholders.

Original languageEnglish (US)
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
EditorsClark Chinn, Edna Tan, Carol Chan, Yael Kali
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1794-1801
Number of pages8
ISBN (Electronic)9781737330653
StatePublished - 2022
Event16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan
Duration: Jun 6 2022Jun 10 2022

Publication series

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

Conference

Conference16th International Conference of the Learning Sciences, ICLS 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/6/226/10/22

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

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