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

计算机工程(32)这项建议开发了一种新的方法，通过实验室实验方法教授入门人工智能(AI)概念。每个主题都包括几个组件，从“真实世界中的概念”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，实验室涵盖了广泛的人工智能应用。实验室方法支持在社会环境中学习更好的学生，包括女学生，或者通过阅读和开发心理模型学习更好的学生。该项目包括几个组成部分，包括开发实验室材料，供学生在实验室工作时在一系列实验练习中使用(包括基本概念、概念的一些应用、样本处理概念、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)。它超出了目前人工智能材料库的可用范围。该项目包括三个讲习班，主要是评估活动，参与者审查课程材料。该项目开发了一个链接到NSDL的适当元素的储存库，并包括适当的元数据开发。除了存储库，论文、会议演示文稿和会议研讨会的组合使其可供更广泛的社区使用。

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.