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Francisco
E. Alarcón
Professor of Mathematics Indiana University of PA |
Francisco Alarcón grew up in Guatemala and obtained a Licenciado
en Matemáticas degree from Universidad del Valle in 1986 and a Ph.D.
in Mathematics from the University of Iowa in 1992, working in Commutative
Semiring Theory under Daniel D. Anderson.
Besides commutative semirings Francisco is interested in Web-based education, the use of computers in teaching and learning Mathematics and statistics education. Francisco has been involved with project SEQuaL (Statistics Education through Quantitative Literacy) since 1999. SEQuaL provides professional development workshops for K-12 teachers throughout PA and is funded by an Eisenhower Grant. For the last two years he has served as Assistant Director for the Center for Statistics Education in PA at IUP. Francisco has been at IUP since 1992. He was an adjunct faculty member at Kirkwood Community College (IA) from 1989 to 1992 and also a high school teacher at Colegio Suizo Americano (Guatemala) from 1983 to 1985. |
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Brian
E. Smith
Faculty of Management McGill University |
Brian Smith obtained his baccalaureate degree in Mathematics from the
University of Dublin, and went on to earn his Master's degree from the
University of Alberta and his Ph.D. from Queen's University at Kingston.
He also holds a M.Sc. in Computer Science from McGill University.
Prior to his appointment at McGill, Brian was a professor in the Department of Mathematics in Dawson College in Montreal, where he played an active role in the department, including serving as Department Chair. He recently retired from Dawson College after 27 years of service. Brian was Chair of the Technology in Mathematics Education (TiME) Committee of the American Mathematical Association of Two-Year Colleges (AMATYC) from 1993 to 1999, and he is the founder and list owner of MATHEDCC, an Internet discussion group for mathematics educators in two-year colleges. He is also an active member of the Mathematical Association of America and is a member of CCIME, the Committee on Computers in Mathematics Education. A member of the American Statistical Association, Brian is involved in the Undergraduate Statistics Education Initiative (USEI) committee. Brian has published a text on teaching mathematics with graphing calculators,
and he is a frequent contributor at mathematical conferences where he presents
sessions and workshops on various aspects of technology in mathematics
and statistics education.
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Mary Sullivan
Associate Professor of Mathematics Rhode Island College |
Mary Sullivan is Associate Professor of Mathematics and Educational
Studies at Rhode Island College. Her formal educational background
includes a B.A. in Mathematics and Secondary Education and an M.A. in Mathematics
from Boston College and an Ed.D. in Mathematics Education from the University
of Massachusetts – Lowell.
Her professional career began with a year of high school mathematics teaching, followed by a return to higher education to direct an NSF master's degree program in mathematics for secondary teachers offered through the Boston College Mathematics Institute (BCMI). While raising her children, she was a research assistant with the BCMI and taught part-time at Framingham State College, Boston University, and Curry College. She was a full-time faculty member at Curry College for fifteen years before taking her current position at RIC. She describes herself as a mathematics educator with a strong interest in statistics. She favors interactive instruction with lots of opportunities for students to put their hands on something other than the pen! She incorporates manipulatives and technology as much as possible in all courses and teacher professional development sessions—her goal is for students and teachers to make sense of the content and believes that varied pedagogical methods supports the process. While she teaches in Providence, Rhode Island, she lives in the Boston
area, so she nevah says those ahs. She is happy to be returning to
IUP, a major site for her dissertation data collection a few years back.
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John
Zhang
Associate Professor of Mathematics Indiana University of PA |
John Zhang grew up in China and came to the US for his graduate education
in 1985. His graduate degrees include statistics and computer science from
Syracuse University.
John’s research interests are primary in multiple decision theory and statistics education. He has used the “workshop approach” to teach an elementary statistics service course at IUP for more than five years and conducted experiments to compare the “workshop approach” with the traditional approach. He is also interested in web-based education. He is currently developing a web-based elementary statistics service course. His other research interests include risk theory and time series. Besides teaching and researching on statistics, he is also very interested in the application of statistics. He is the coordinator of the Applied Research Lab of the graduate school at IUP. He provides consulting services to a large number of statistics projects from a wide spectrum of disciplines in the university and the local community |
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Allan Rossman
Associate Professor of Mathematics and Statistics Dickinson College |
I have been at Dickinson College since 1989, and I've lived in Pennsylvania
for my entire life. I grew up in Ellwood City and attended Geneva College
in Beaver Falls (Joe Namath's hometown) and Carnegie Mellon University
in Pittsburgh (Dan Marino's hometown). My graduate degrees are in statistics,
so I teach primarily courses in statistics, probability, and quantitative
reasoning.
My primary professional activity has involved developing curricular
materials for teaching statistics through activities which lead students
to discover fundamental ideas of statistics and data analysis for themselves.
In addition to its focus on active learning, this "workshop" approach emphasizes
conceptual understanding, genuine data, technology, collaborative work,
and communication
I direct a project called STATS (Statistical Thinking with Active Teaching
Strategies). Funded by the National Science Foundation
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