Centering Educators’ Voices in the Development of Professional Learning for Data-Rich, Place-Based Science Instruction

Author:

Wong Nicole1,Elsayed Rasha1,Nilsen Katy1,Perez Leticia R.1,Daehler Kirsten R.1

Affiliation:

1. WestEd, 730 Harrison Street, San Francisco, CA 94107, USA

Abstract

This self-reflective case study describes our project team’s efforts to promote equity in science professional learning (PL) by centering the voices of educators in the PL design process and within the course itself. We believe that educators’ experiences, priorities, and expertise are essential to developing professional learning that meets the needs of teachers and their students. We have a particular interest in amplifying the voices of those in historically underrepresented communities. Toward that end, we engaged science educators who work with Indigenous students and recent immigrants as collaborators in developing PL to support data-rich, place-based Earth Science instruction. In this case study, we share and critique the practices and tools that we have employed to center educator voices, rather than those of the PL designers and researchers. Our strategies for developing more equitable science professional learning include the use of: (a) equity-focused research methods, such as asset-based needs-sensing questions and peer-to-peer interviews; (b) a humanistic stance toward data-rich science learning, which emphasizes the typically unnamed sociocultural inputs and outputs that permeate all aspects of data; (c) a participatory design process that centers educators’ voices; and (d) a model of professional learning that uses representations of educator and student experiences as objects for reflection.

Funder

NASA

Publisher

MDPI AG

Reference42 articles.

1. Teacher research and learning communities: A failure to theorize power relations?;Herr;Lang. Arts,2008

2. Carlisle, G. (2022, June 15). Science Has a Diversity Problem. For the Sake of Our Students, We Have to Change the Narrative. Available online: https://www.edsurge.com/news/2022-01-31-science-has-a-diversity-problem-for-the-sake-of-our-students-we-have-to-change-the-narrative.

3. Johnson, C.C., Mohr-Schroeder, M.J., Moore, T.J., and English, L.D. (2020). Handbook of Research on STEM Education, Routledge.

4. D’Ignazio, C., and Klein, L.F. (2020). Data Feminism, The MIT Press. [1st ed.].

5. In Search of a Rationale for Multicultural Science Education;Hodson;Sci. Educ.,1993

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3