Location
Georgia Tech's Technology Square Research Building (TSRB)Homework and Course Materials
Resources
Computer Science Education Research Citations
Preliminary Application Deadline: August 17, 2007
This one day workshop is intended to support computing education researchers in the development and application of appropriate statistical methods to support computing education research. Statistics is a broad field and the statistical tests and approaches which best validate educational studies are specific. This day-long workshop will be an intensive “bootcamp” experience for participants which will engage them in both the application of particular statistical analyses (e.g., using SPSS software) and, more critically, understanding of the proper application of various statistical analyses. This workshop will engage researchers in the use of unfamiliar methodologies as well as promoting sharing of ideas among computing education researchers with similar interests.
Additionally, participants will be supported in the application of statistics in their research areas for one year after the workshop by the workshop leader. The workshop will be led by David E. Drew, a sociologist who applies quantitative and qualitative techniques, especially multivariate models, to research in education.
Preparation
The workshop will be preceded by interaction between the workshop participants and the workshop leader regarding participants’ backgrounds, interests, and specific projects under investigation.
Fees
This NSF-sponsored workshop is free to US citizens. Participants from other countries will be charged a $150 fee to cover costs as required for NSF-funded projects.
Meals
A free light breakfast buffet will be available starting at 8:15. The workshop will begin at 9:00. A free lunch and breaks are also included.
Applications
Applications should be submitted to Sue Fitzgerald at sue.fitzgerald@metrostate.edu. Applicants are requested to submit their application forms by Friday, August 17, 2007. Applications will be processed as they are received. Late applications may be accepted, space permitting.
Workshop Organizers
Sue Fitzgerald, Metropolitan
State University
Beth Simon, University of California,
San Diego
David E. Drew is a sociologist who applies quantitative and qualitative techniques, especially multivariate models, in studying the development of individual potential and the growth of organizations, especially educational organizations. His teaching and mentoring in the Claremont Graduate University School of Educational Studies focus on quantitative research methods, statistical analysis, and guiding doctoral students towards publishing in leading, peer-reviewed academic journals. He is familiar with the world of computer science and computer science education. Earlier in his career he was the head applications programmer at the Harvard University Computing Center; recently he has served on the dissertation committees of several PhD students in the School of Information Systems and Technology at CGU.
David has published extensively about the improvement of mathematics and science instruction at all levels of education; the development and evaluation of effective undergraduate programs; and building strong university research programs. He also has conducted research about the impact of technology, public health issues, and management and evaluation in the corporate and nonprofit worlds. David’s research interests and publications are listed at http://www.cgu.edu/pages/388.asp.
Thanks for local arrangements go to Allison Elliott Tew and Brian Dorn, Georgia Tech