1998 Conference Attendees

Using research-quality software on microcomputers, students explore original scientific data sets, in all areas of science and mathematics including biomedical imaging, Earth remote sensing and meteorology data, chemistry, physics, and planetary exploration images.. They also learn about the mathematical concepts that underlie image processing. IPT materials are developed at the University of Arizona by educators and scientists for integration into the curriculum in all areas of science and mathematics for elementary school through college levels.

IPT evaluation studies show image processing to be an effective and attractive way to study the application of science and mathematics to real-world applications, as represented by digital imagery. The use of image processing is also an innovative method with which to engage students in exploration and discovery, including students from minority groups and others whose needs have not been met by traditional ways of teaching these subjects.

The IPT project has provided national leadership in dissemination of image processing as a learning tool through teacher education, curriculum-based materials development, and follow-up support. The IPT project is directed by Dr. Richard Greenberg, Professor of Planetary Sciences and of Education, who also directs the University of Arizona's Science and Mathematics Education Center.

Greenberg, R., J. Raphael, J.L. Keller, and S. Tobias. Teaching science with image processing: A case study of a high school department. J. Research in Sci. Teaching, in press 1998.

Greenberg, R. Image Processing: An enabling technology for science research, teaching, and learning, a chapter in "Internet Links to Science Education: Student Scientist Partnerships" (K.C. Cohen, ed.), Series on Innovations in Science Education and Technology, Plenum, New York, in press 1997.

Greenberg, R. Image Processing for Teaching. J. Computers in Mathematics and Science Teaching, submitted 1997.

Greenberg, R. The role of curriculum in systemic reform, Proceedings of Annual Forum of National Inst. for Science Educ., 1997.

Greenberg, R. Image Processing for Teaching: A research tool enters schools, colleges, and the workplace. Tech. Horizons in Educ. Journal 24 (5), 61-65, Dec. 1996.

Greenberg, R. The Image Processing for Teaching Project, In "Education and Technology", C. Fisher et al., eds., Jossey-Bass, Inc., San Francisco, 1996.

Raphael, J., and R. Greenberg. Image processing: A state-of-the-art way to learn science, Educ. Leadership 53-2, 34-37, 1995.

Raphael, J., R. Greenberg and L. Dahlman. Computer Enhanced Learning: Image Processing, Ties: J. of Design and Tech. Educ. Nov./Dec. 1995.

Raphael, J., and R. Greenberg. Computers in public schools: Changing the image with image processing, Bulletin National Assn. of Secondary School Principals 79, 90-97, 1995.

Greenberg, R., et al. Image Processing for Teaching: A national dissemination program, Proceedings of ICIP, pp. 511-514, IEEE Computer Society Press, 1994.

Greenberg, R., et al. Image processing for teaching, Journal of Science Education and Technology 2, No. 3, 469-480, 1993.

Greenberg, R., and R.G. Strom. Image processing for teaching. In Proceedings of Hands-on Astronomy for Education, (C. Pennypacker, ed.), World Sci. Pub. Co., p. 147, 1992.

Greenberg, R. Scanning the images of science. The Science Teacher, 59, No. 8, 14-18, 1992.

Greenberg, R., and K. Franklin. Image processing for teaching in a Navajo school setting. J. Navajo Ed., IX, No. 2, 23-29, 1992.

We are always looking for scientific research groups or projects whose digital image data and scientific issues can provide the basis for meaningful, curriculum-based student learning activities.

We also are always pleased to find ways that we can work with other education projects to provide expertise in digital image processing applications.