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MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Measuring Equity-Promoting Behaviors in Digital Teaching Simulations: A Topic Modeling Approach

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Manage episode 287198014 series 1053864
MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Digital simulations offer learning opportunities to engage and reflect on systemic issues of racism and structural violence against communities of color. This talk examines how natural language processing tools can be used to better understand participants’ experiences within simulated environments focused on anti-racist teaching and identify changes in participants’ behavior over time. As K-12 schools increasingly reckon with our country’s long history of racist teaching practices, digital simulations may provide ways to help teachers name, re-examine, and reflect on their own practice and move toward anti-racist teaching. Dr. Joshua Littenberg-Tobias is a Research Scientist in the MIT Teaching Systems Lab. His research focuses on measuring and supporting learning within large-scale technology-mediated environments with a focus on civic engagement and anti-racist teaching practices. He received his Ph.D. from Boston College in 2015 in educational research, measurement, and evaluation.
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407 에피소드

Artwork
icon공유
 
Manage episode 287198014 series 1053864
MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Digital simulations offer learning opportunities to engage and reflect on systemic issues of racism and structural violence against communities of color. This talk examines how natural language processing tools can be used to better understand participants’ experiences within simulated environments focused on anti-racist teaching and identify changes in participants’ behavior over time. As K-12 schools increasingly reckon with our country’s long history of racist teaching practices, digital simulations may provide ways to help teachers name, re-examine, and reflect on their own practice and move toward anti-racist teaching. Dr. Joshua Littenberg-Tobias is a Research Scientist in the MIT Teaching Systems Lab. His research focuses on measuring and supporting learning within large-scale technology-mediated environments with a focus on civic engagement and anti-racist teaching practices. He received his Ph.D. from Boston College in 2015 in educational research, measurement, and evaluation.
  continue reading

407 에피소드

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