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Executive Summary
Examining the Recruitment, Placement, and Career Trajectories of Secondary Mathematics Teachers Prepared for High-Need Schools by William Zahner, Suzanne Chapin, Rich Levine, Lingjun A. He & Robert Afonso - 2019To view the full-text for this article you must be signed-in with the appropriate membership. Please review your options below:
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- William Zahner
San Diego State University
E-mail Author
WILLIAM ZAHNER is an assistant professor of mathematics education in the Department of Mathematics and Statistics and the associate director of the Center for Research in Mathematics and Science Education at San Diego State University. His research focuses on understanding principles for designing equitable mathematics classroom learning environments in diverse secondary classrooms. Zahner was formerly on the faculty in the School of Education at Boston University. Zahner’s published work has appeared in Learning and Instruction, Educational Studies in Mathematics, The Journal of Mathematical Behavior, and Mathematical Thinking and Learning.
- Suzanne Chapin
Boston University
E-mail Author
SUZANNE CHAPIN is professor of mathematics education at Boston University, where she teaches graduate-level courses and conducts research. Her work covers the areas of gifted education, curriculum design, teacher professional development in mathematics, and teacher and student discourse in mathematics. Dr. Chapin is principal investigator of the Elementary Mathematics Project, where she is involved in writing problem-based mathematics tasks and researching the effects of these tasks, in conjunction with discourse-based pedagogy, on elementary education majors’ knowledge of mathematics for teaching. Chapin is the author of multiple books and textbooks, including Classroom Discussions: Using Math Talk to Help Students Learn and Math Matters: Understanding the Math You Teach Grades K–8 (both published by Math Solutions).
- Rich Levine
San Diego State University
E-mail Author
RICH LEVINE is professor of statistics and institutional research faculty advisor at San Diego State University. He is a Fellow of the American Statistical Association, with research interests in learning analytics and computationally intensive machine learning methods. He is currently working with his collaborators and students on applications of random forests in educational data mining settings. This work has recently been published in the Journal of Educational Data Mining, International Journal of Artificial Intelligence in Education, and Technology, Knowledge, and Learning.
- Lingjun He
San Diego State University
E-mail Author
LINGJUN A. HE is a Ph.D. data scientist at the Analytic Research and Institutional Research Center and an adjunct faculty member in the Computational Science Research Center at San Diego State University. Her primary research interests include learning analytics, educational data mining, semiparametric mixed-effects modeling, and financial time series. Her work has appeared in publications such as International Journal of Artificial Intelligence in Education and Journal of Biological Chemistry.
- Robert Afonso
Boston University
E-mail Author
ROBERT AFONSO is a doctoral student in mathematics education at Boston University. He currently teaches middle school mathematics in Rhode Island. In addition to studying the career trajectories of secondary mathematics teachers, Afonso has contributed to research on the development of curriculum materials for mathematics courses for prospective elementary teachers.
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