Enhancing Physical Science Curricula Through Computer-Assisted Instruction and Data Image Processing

古斯塔沃·莫拉莱斯应于9552234财年支付奥兰多瓦伦西亚社区学院20,327美元，FL 328023028 ILI-仪器项目：跨学科标题：通过计算机辅助教学和数据图像处理增强物理课程瓦伦西亚社区学院提供广泛的综合和高级课程选择由来已久-高质量的学术课程，旨在为学生做好准备，以满足不断变化的劳动力需求。学院目前面临的挑战是继续履行这一使命，将适当的技术纳入针对日益多样化的学生群体的教育和培训计划。这一挑战在科学界可能是最大的。通过向国家科学基金会提出的这项请求中提出的项目，巴伦西亚将把计算机辅助学习经验和数据图像处理融入课程，从而针对六门自然科学课程。在计划这个项目时，教员们研究了将计算机的使用纳入下列课程的实验室环境的几种可能性：地球科学、物理地质学、历史地质学、气象学、天文学和海洋学。这一决定是根据图像处理教育中心与亚利桑那大学联合开发的成功课程开展的一个项目。图像处理提供了一种强大的媒介来激发学生对科学的兴趣，特别是来自少数群体的学生和其他传统教学方式无法满足这些学科需求的学生。使用微型计算机上的专业质量软件，学生将探索各种科学数据集，包括地球遥感、气象数据和行星探测图像。虽然这些课程将培养所有学生的探究和研究技能，但该项目也将鼓励更多的学生从事专业的科学事业，并为他们提供主题和在各自领域使用最新技术的适当培训。巴伦西亚请求国家科学基金会支持购买微型计算机、软件和数据库，以便将新的课程和教学法纳入目标课程。

Gustavo Morales DUE 9552234 Valencia Community Coll FY1995 $ 20,327 Orlando, FL 328023028 ILI - Instrumentation Project: Interdisciplinary Title: Enhancing Physical Science Curricula Through Computer-Assisted Instruction and Data Image Processing Valencia Community College has a long history of providing a wide selection of comprehensive and high-quality academic programs designed to prepare students to meet changing work force requirements. The College currently faces the challenge of continuing to fulfill this mission by incorporating appropriate technology into education and training programs for a student body that has become increasingly diverse. This challenge is perhaps greatest in the sciences. Through the project proposed in this request to NSF, Valencia will target six courses in the physical sciences by infusing computer-assisted learning experiences and data image processing into the curricula. In planning this project, faculty examined several possibilities for incorporating the use of computers into the laboratory setting for the following courses: Earth Sciences, Physical Geology, Historical Geology, Meteorology, Astronomy, and Oceanography. The decision was made to carry out a project based on the successful curricula developed by the Center for Image Processing in Education in association with the University of Arizona. Image processing provides a powerful medium to excite students about science, especially students from minority groups and others whose needs have not been met by traditional ways of teaching these subjects. Using professional-quality software on microcomputers, students will explore a variety of scientific data sets, including earth remote sensing and meteorology data and planetary exploration im ages. While these courses will develop inquiry and research skills for all students, the project will also encourage more students to pursue professional science careers and provide them with the appropriate training in subject matter and the use of up-to-date technology for the respective fields. Valencia requests the NSF's support for the purchase of microcomputers, software, and databases to incorporate new curricula and pedagogy into the targeted courses.