¿Una retórica conveniente o un cambio sustancial de la diversidad racial docente? Un análisis de text mining de documentos federales, estatales y distritales

Autores/as

  • Sing Hui Lee Georgia State University
  • Briana N. Keith Georgia State University
  • Yasmine Bey Georgia State University
  • Yinying Wang Georgia State University
  • Xiulong Yang Georgia State University
  • Xiang Li Georgia State University
  • Shihao Ji Georgia State University

DOI:

https://doi.org/10.14507/epaa.30.6677

Palabras clave:

política educativa, diversidad racial, diversidad docente, preparación docente, reclutamiento de maestros, retención de maestros, text mining

Resumen

La diversidad racial docente ha sido ampliamente considerada importante en la educación. Sin embargo, sigue sin estar claro en qué medida y cómo se ha abordado la diversidad racial de los docentes a nivel federal, estatal y distrital. En este estudio, empleamos la text mining para recopilar y analizar más de tres millones de documentos a nivel federal, estatal y distrital. Descubrimos que, si bien los estudiantes de color tenían un acceso desproporcionadamente menor a maestros racialmente diversos, los documentos bajo nuestro análisis discutían de manera insuficiente el reclutamiento y la retención de maestros racialmente diversos. Nuestros hallazgos también revelan que las agencias de educación a nivel federal, estatal y distrital prestaron poca atención a la contratación y retención de maestros hispanos. Para los estados y distritos que discutieron el reclutamiento de maestros racialmente diversos, reclutaron principalmente maestros de instituciones y organizaciones que atienden principalmente a personas de color, como los Colegios y Universidades Históricamente Negros, la Asociación de Estudiantes de Derecho Latino/a de Columbia, la Asociación Nacional de Profesionales asiático-americanos y la Asociación Nacional Negra de MBA. Dados los hallazgos y el crecimiento proyectado de la inscripción de estudiantes negros e hispanos en los Estados Unidos, brindamos cinco recomendaciones de políticas para los legisladores y líderes para diversificar racialmente la fuerza laboral docente en medio de la demografía estudiantil cambiante, particularmente los estudiantes hispanos.

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Biografía del autor/a

Sing Hui Lee, Georgia State University

Sing Hui Lee received her PhD in political science at Georgia State University, with research interests focusing on youth political attitudes and behaviors in East Asia and Southeast Asia, youth activism, digital politics, and the role of identity in international relations studies. She received her LLM in international law from The University of Hull and LLM in international relations from Xiamen University. Lee is one of the board members of Daisy Alliance, a nongovernmental organization dedicated to enhancing global peace and strengthening nuclear nonproliferation and disarmament movement through grassroots and educational institution advocacy initiatives.

Briana N. Keith, Georgia State University

Briana N. Keith is a doctoral student in sociology at Georgia State University, with a concentration in life course and health. She has received her M.A. in gerontology at Georgia State University and her B.S. in anthropology and human biology at Emory University. Currently, she is working on research looking into the mental health effects of microaggressions of students and faculty of color in predominantly white institutions.

Yasmine Bey, Georgia State University

Yasmine Bey is a PhD student at Georgia State University in educational policy studies, with a concentration in research, measurement, & statistics. She works in the Center for Evaluation and Research Services at Georgia State University and has a background in social work and nonprofit management.

Yinying Wang, Georgia State University

Yinying Wang is an associate professor of educational leadership in the Department of Educational Policy Studies at College of Education and Human Development in Georgia State University. Her research interest intersects technology, decision making, emotions, and social network analysis in educational leadership and policy. In addition to teaching educational leadership courses, she also teaches social network analysis. Her background includes medical doctor, classroom teacher, and school administrator.

Xiulong Yang, Georgia State University

Xiulong Yang is a PhD student in the Department of Computer Science at Georgia State University. His research interests include deep neural network, data efficiency in deep learning, educational technology, and data mining.

Xiang Li, Georgia State University

Xiang received his bachelor’s degree in electrical engineering from Donghua University, China, in 2013, and his master’s degree in pattern recognition from Northeastern University, China, in 2018. He is currently pursuing a PhD degree in computer science at Georgia State University. His research interests include the robustness and interpretability of deep neural network, and brain MRI image analysis.

Shihao Ji, Georgia State University

Dr. Shihao Ji is an associate professor in the Computer Science Department at Georgia State University. His principal research interests lie in the area of machine learning and deep learning with an emphasis on high-performance computing. He is interested in developing efficient algorithms that can learn from a variety of data sources (e.g., image, audio, and text) on a large scale and automate decision-making processes in dynamic environments. Dr. Ji received his PhD in Electrical and Computer Engineering from Duke University in 2006. After that he was a research associate at Duke for about 1.5 years. Prior to joining GSU, he spent about 10 years in industry research labs. He is a senior member of the IEEE.

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Publicado

2022-06-07

Cómo citar

Lee, S. H., Keith, B. N., Bey, Y., Wang, Y., Yang, X., Li, X., & Ji, S. (2022). ¿Una retórica conveniente o un cambio sustancial de la diversidad racial docente? Un análisis de text mining de documentos federales, estatales y distritales . Archivos Analíticos De Políticas Educativas, 30, (78). https://doi.org/10.14507/epaa.30.6677

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