CCLI: Enhancing Expertise, Sociability and Literacy through Teaching Artificial Intelligence as a Lab Science

CCLI：通过将人工智能作为实验室科学进行教学，提高专业知识、社交能力和素养

• 批准号: 0942454
• 负责人: Cathleen McGrath
• 金额: $ 17.99万
• 依托单位: Loyola Marymount University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0942454&HistoricalAwards=false
• 关键词: CCLI; Enhancing; Expertise; Sociability; Literacy

Computer Engineering (32)This proposal develops a new approach of teaching introductory Artificial Intelligence (AI) concepts through a laboratory experimentation approach. Each topic includes several components that range from "the concept in the real world" through detailed code implementation. The laboratory setting supports communication skills as well as software engineering and process understanding, and the laboratories cover a wide range of AI applications. The laboratory approach supports students who learn better in a social setting, including women students, or who learn better by reading and developing mental models.The project has several components, including developing laboratory materials to be used in a sequence of lab exercises as the student works through the laboratory (including the basic concept, some applications of the concept, sample processing concepts, design description, code hints, test suites, experiments, full source code, and a complexity analysis). It extends beyond that available through current repositories of AI materials. The project includes three workshops, which are primarily assessment activities where participants review course materials. The project develops a repository linked to an appropriate element of the NSDL and appropriate development of metadata is included. Along with the repository, a mix of papers, conference presentations, and conference workshops make this available to the broader community.

计算机工程（32）该提案通过实验室实验方法开发了一种新的人工智能（AI）概念入门教学方法。 每个主题都包括几个组件，从“真实的世界中的概念”到详细的代码实现。 实验室环境支持沟通技能以及软件工程和流程理解，实验室涵盖广泛的人工智能应用。实验室方法支持在社会环境中学习得更好的学生，包括女学生，或通过阅读和开发心理模型学习得更好的学生。该项目有几个组成部分，包括开发实验室材料，供学生在实验室工作时用于一系列实验室练习（包括基本概念、概念的一些应用、示例处理概念、设计描述、代码提示、测试套件、实验、完整源代码和复杂性分析）。 它超越了现有的人工智能材料库。该项目包括三个讲习班，这些讲习班主要是评估活动，参加者在讲习班上审查课程材料。 该项目开发了一个与国家空间数据库的一个适当要素相链接的储存库，并包括元数据的适当开发。 沿着存储库的还有各种论文、会议演示和会议研讨会，这些都可以让更广泛的社区使用。