A Research-Intensive Approach to Undergraduate Education in Psychology

心理学本科教育的研究密集型方法

• 批准号: 8750413
• 负责人: Mark Wagner
• 金额: $ 1.67万
• 依托单位: Franklin and Marshall College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-05-01 至 1989-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8750413&HistoricalAwards=false
• 关键词: Research; Intensive; Approach; Undergraduate; Education

This Department is purchasing several pieces of equipment to: (a) support recent curricular changes, (b) replace antiquated existing equipment and (c) allow majors access to research experiences that are difficult or impossible to obtain with current holdings. There are four basic types of equipment: (1) audio equipment -- a 6W speech analysis system and Ensonique sound synthesis system to allow students to modify and analyze human speech, environmental, musical, and animal sounds in a wide variety of course and independent research settings; (2) video equipment -- the Gerbrand presentation system and Coreco Image processor to allow students to create, flexibly present, and analyze visual images for the study of human cognition and perception; (3) the Biocomp 2001 to allow students to measure the physiological indices of arousal relevant to both biological psychology and social-personality; (4) artificial intelligence -- a Hero 2000 robot and NEXPERT expert system shell to allow students research experience with two of the most burgeoning areas of inquiry in science today -- robotics and artificial intelligence. The Department has already had considerable success with its research- oriented approach. The proposed equipment allows the Department to fully implement this approach.

该部正在购买几件设备，以便： 支持最近课程改革，（B）取代陈旧的现有课程 设备和（c）允许专业人员获得研究经验， 很难或不可能获得与目前的控股。 有四 设备基本类型：（1）音响设备--6 W语音分析仪 系统和Ensonique声音合成系统，让学生修改 并分析人类的语音，环境，音乐和动物的声音在一个 各种各样的课程和独立的研究设置;（2）视频 设备-Gerbrand演示系统和Coreco图像处理器 让学生创造，灵活地呈现和分析视觉图像 用于人类认知和感知的研究;（3）Biocomp 2001至 允许学生测量唤醒相关的生理指标 生物心理学和社会人格学;（4）人工 智能-英雄2000机器人和NEPERT专家系统外壳， 让学生的研究经验与两个最新兴的领域 机器人学和人工智能。 该部在其研究方面已经取得了相当大的成功- 导向的方法。 拟议的设备使该部能够 全面贯彻这一方针。