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

古斯塔沃·莫拉莱斯 DUE 9552234瓦伦西亚社区科尔 奥兰多，佛罗里达州328023028 ILI -仪器 项目名称： 跨学科 标题：通过加强物理科学课程 计算机辅助教学与数据图像 处理 瓦伦西亚社区学院在提供广泛的综合性和高质量的学术课程方面有着悠久的历史，这些课程旨在帮助学生做好准备，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，将适当的技术纳入教育和培训计划的学生团体，已变得越来越多样化。 这个挑战在科学领域可能是最大的。 通过向国家科学基金会提出的这一请求中提出的项目，瓦伦西亚将把计算机辅助学习经验和数据图像处理纳入课程，以物理科学的六门课程为目标。 在规划这个项目时，教师研究了将计算机的使用纳入以下课程的实验室设置的几种可能性：地球科学，物理地质学，历史地质学，气象学，天文学和海洋学。 决定开展一个基于教育图像处理中心与亚利桑那大学合作开发的成功课程的项目。 图像处理提供了一个强大的媒介，激发学生对科学的兴趣，特别是来自少数民族群体和其他人的学生，他们的需求没有得到满足，通过传统的方式教授这些科目。 使用专业质量的软件在微型计算机上，学生将探索各种科学数据集，包括地球遥感和气象数据和行星探索图像。 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学生从事专业科学事业，并为他们提供主题方面的适当培训，以及在各自领域使用最新技术。 瓦伦西亚要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.