University of Connecticut University of UC Title Fallback Connecticut

General info

Math LEAD long

Math LEAD is no longer accepting applications

Mathematics Literacy in English Across Disciplines (Math LEAD) is a 5 year US Department of Education project directed by Dr. Eliana D. Rojas at the University of Connecticut. It was one of 42 projects selected from over 500 proposals in 2011. The director works with local schools and districts that educate a large number of Emergent Bilingual (EB) and Culturally, Linguistically, and Socially Diverse (CLSD) students. Initiatives have included professional development training, technological equipment, and conferences featuring nationally renowned speakers. The project also provides competitive professional enhancement opportunities and fellowships for Connecticut educators, teachers, administrators, school counselors and other school personnel.

To apply for Math LEAD funding, please click here. To apply to a Graduate School program (MA, 6th year, or PhD), please click “apply” in the menu above, under the Bilingual/ Multicultural Education header.

Project Overview

Math Literacy in English Across Disciplines (Math-LEAD) will provide professional development to in-service teachers in order to improve the education of emergent bilinguals in the public schools. A focus of the project is to improve the mathematics/science/technology (STEM) instruction of English language learners by relating the use of math applications and science principles across all disciplines. The curricula will align with the State of Connecticut Core Standards for mathematics, science, language arts, and other subjects and with the assessment goals of the State Department of Education Connecticut Academic Performance Test (CAPT). All Math-LEAD professional development in the public schools will be accomplished through the University of Connecticut (UConn) program, through in-house workshops, teacher mentors, team collaboration, and administrative supervision. In-service teachers and support staff (counselors, school psychologists, and administrators) can apply to competitive Math-LEAD fellowships at UConn and take graduate level courses in the Department of Curriculum and Instruction with focus on Bilingual or TESOL Education as continuing studies students or matriculating Master’s degree or a Sixth Year Diploma graduate students. The coursework that fellow students are exposed fulfills the State of Connecticut coursework requirement for cross-endorsement. Completers may apply for cross-endorsement in Bilingual Education, and/or English for Speakers of Other Languages directly with the State of Connecticut.

Project Goals

  1. Improve the ability of in-service teachers to provide effective instruction across the disciplines to emergent bilingual students.
  2. Increase the educational opportunities for emergent bilingual students and their peers in Science, Technology and Math (STEM) to meet requirements for pre-engineering or related fields at the University level.
  3. Develop a structured support plan for students through engaged parents, community, administration and school support staff.

Project Objectives

  • Recruit teachers for Professional Enhancement of which, the strongest participants will continue on an MA or 6th year tract in Bilingual/TESOL Education.
  • Assess the educational needs of in-service teachers in the target schools to determine past training and the educational programs needed.
  • Assess the academic strengths and weaknesses of the middle and high school classroom students in the two participating schools.
  • Assess participating schools’ teachers’ understanding of culturally relevant pedagogy and its relation to students’ success in STEM curriculum.
  • Improvement of teacher effectiveness in raising the achievement of ELs in mathematics, science and technology, reading comprehension and writing using mathematics vocabulary across the disciplines.
  • Facilitate participation of parents, community and stake holders in interactive dialogs regarding research policy and other data generated by fellow and faculty.

For more information, please contact