STE support FW: GRA positions for Lesson Study Project

McKnight, Amy amcknight at
Mon Sep 8 07:30:06 EDT 2014

For graduate students.

From: Coe-all [mailto:coe-all-bounces at] On Behalf Of Akiba, Motoko
Sent: Monday, September 08, 2014 7:23 AM
To: JESfwd-coe-all
Subject: [Coe-all] GRA positions for Lesson Study Project

GRA Positions for Lesson Study Project

Dr. Motoko Akiba in ELPS and Dr. Ian Whitacre in STE are seeking highly qualified graduate research assistants to join a project team on lesson study that is funded by the National Science Foundation's Discovery K-12 Program.

Lesson study is a teacher professional development model in which a group of teachers works collaboratively to plan a lesson, observe the lesson taught in a classroom with students, analyze and discuss student work and understanding in response to the lesson, revise and reteach the lesson, and so on. It is a promising model because it promotes coherent, sustained, and collaborative teacher learning activities for practicing ambitious mathematics instruction aligned with contemporary mathematics standards in the era of the Common Core State Standards. The objectives of this project are to investigate the variation in Grades 3-8 teachers' practice of mathematics lesson study in Florida, examine policy and organizational conditions that facilitate lesson study, and identify effective and scalable design features of lesson study associated with improved instruction and student mathematics achievement growth.

The positions are quarter-time with tuition waiver and benefits, beginning in January 2015. Additional benefits include travel funds for conference presentations and opportunities to publish in academic journals.

The GRAs' responsibilities will include reviewing research literature, collecting data from school districts, schools, and teachers across the state, conducting qualitative and/or quantitative analyses, and reporting findings.

Required qualifications

*         Strong interest in and knowledge of teacher professional development research

*         A long-term commitment to the project

*         Outstanding interpersonal, critical reasoning, analytic, and writing skills

*         The ability to work on multiple tasks simultaneously, both independently and collaboratively

*         Proficiency with MS Office Software

*         Experienced with statistics software (e.g., SPSS, SAS)

Preferred qualifications

*         Prior teaching experience in K-12 settings

*         Knowledge of mathematics teaching and mathematics education research

*         Proficiency with advanced statistics (e.g., HLM, SEM)

*         Proficiency with qualitative software (e.g., Nvivo)

How to Apply:  To apply, submit a cover letter stating your interest and qualifications, a detailed curriculum vitae, and unofficial transcripts by email to Dr. Akiba (makiba at<mailto:makiba at>) and Dr. Whitacre (iwhitacre at<mailto:iwhitacre at>). If you are interested in applying and would like to know more about the project, feel free to contact us informally with your questions.

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