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Mathematics, Science and Learning Technologies
The overall mission of the Mathematics, Science and Learning Technologies doctoral
program of study is to use new research findings to improve the learning
and teaching of mathematics and science--from pre-school to higher
education, in schools and in nonformal settings--by preparing professional
mathematics/science educators, scholars, and researchers.
The goals of the program of study are to:
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provide an interconnected locus of intellectual activity
for graduate students and faculty;
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increase equity (in gender, ethnicity, and opportunities)
in recruitment, admission, and retention of students and faculty
and pursue issues of equity in science education;
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teach relevant courses, seminars, and independent
studies in mathematics and science education;
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conduct pertinent research studies in mathematics
and science learning, teaching, curriculum development, and assessment;
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build a base of scholarship, disseminate new knowledge,
and apply it actively in education;
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provide apprenticeship opportunities for graduate
students;
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understand and support effective practice in mathematics
and science education;
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coordinate outreach efforts with K-12 schools and
related projects;
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collaborate with faculty in the Department, School,
and University as well as in the wider profession throughout the
Commonwealth of Massachusetts, nationally, and internationally.
Doctoral students must complete an individualized doctoral program
of study. All doctoral graduates are expected to acquire knowledge
of theory and practice and current research and development in mathematics
and science education, as well as awareness of and sensitivity to issues
in the field of Education at large. Doctoral graduates are especially
expected to acquire skills for conducting research independently, including
proposal writing, journal article writing, and conference presentations.
Desired Doctoral Student Characteristics
Sensitive to the need for equity and excellence in education, the
Mathematics, Science and Learning Technologies program of study recruits graduate
students from national and international sources representing a spectrum
of backgrounds, interests, and success in mathematics and the sciences.
While seeking potential and demonstrated ability, both underrepresented
and traditional populations are genuinely welcomed. In general, the
faculty considers the whole profile of each applicant's characteristics.
Specifically:
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Master's degree (or equivalent) in mathematics, science,
or mathematics education or science education
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interest in and potential to do research; demonstration
of scholarly work (desirable)
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willingness to study in residence
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teaching or technical training experience (preferable)
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personal commitment, responsibility, and reliability
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sensitivity to issues of equity
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strong recommendations
Contact Information
Concentration Coordinator: Kathleen
S. Davis (Associate Professor)
Associated Faculty
Flávio Azevedo (Assistant
Professor), John J. Clement (Professor), Kathleen
S. Davis (Associate Professor), John
M. Francisco (Assistant Professor), Sandra Madden (Assistant Professor), Howard
A. Peelle (Professor), Florence
Sullivan, (Assistant Professor).
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