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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/artificial-intelligence-education-for-teachers
课程评论:没有评论
课程名称:教师人工智能(AI)教育 课程概述:当今的学习者需要了解人工智能(AI)的概念、运作方式、在日常生活中的应用,以及未来可能的使用方式。使用AI需要的技能和价值观远超简单的编码和技术知识。该课程由教师为教师设计,旨在弥合人们对AI的普遍看法与其真实含义之间的差距。AI可以融入学校课程的各个领域,本课程将展示如何实现这一目标。 该课程适合希望提高对AI的整体理解的教师,包括AI对学生的重要性,以及希望将AI融入教学实践和学生学习的教师。此外,学员还有机会在此专业学习课程中实施学生的顶点项目。 课程由麦考瑞大学教育学院和IBM澳大利亚合作开发,符合AITSL“专业水平”澳大利亚职业标准,达到AQF8级别。 课程大纲: 1. **导论**:介绍课程内容,解释学习AI的重要性,并分享一些有用的额外资源。 2. **知识模块:什么是AI、AI的历史及其应用**:探索AI的定义、演变及其在不同领域的应用。 3. **技能模块A:设计思维以及批判性与创造性思维**:学习设计思维和批判性、创造性思维在AI问题解决中的重要性。 4. **技能模块B:数据流畅性与计算思维**:理解数据质量对人类或AI决策的重要性,学习数据的不同形式及其在课程中的应用。 5. **价值观模块:伦理决策与偏见意识**:探讨AI相关的伦理问题及偏见,学习如何确保AI为社会的利益服务。 6. **结论**:总结课程内容并提醒学员未来教学实践中的应用选项。
Name:Introduction
Description:In this module we'll introduce you to the course, tell you a little bit about why we think it's important that you and your students know about artificial intelligence (AI), and share with you some additional resources that might be useful.
Name:Knowledge Module: What is AI, History of AI, and Applications of AI
Description:In his book, “Make. Think. Imagine”, John Browne writes: “Artificial intelligence seems to be everywhere”. Some of its recent applications and achievements are well known; its potential to help build – or undermine – our civilisation is immense. As teachers, it’s hard for us to ignore this potential. AI is changing the tools we have at our disposal and adds to the impetus for a curriculum which incorporates the so-called "21st century skills". In this module, you will think about how AI may be defined, particularly in relation to human intelligence, and how it has taken different forms. You will consider how it has evolved over the last 70 years and come to show promise in so many different applications.
Name:Skills Module - Part A: Design Thinking, and Critical and Creative Thinking
Description:Both design thinking, and critical and creative thinking (CCT), embrace skills which are important for teams working to solve problems with AI. In design thinking, these skills include collaboration, solving a problem with constraints, coming up with an idea, testing it, and if necessary, going back to the drawing board. The process is iterative. As for CCT, creative thinking is required to identify opportunities for AI, and critical thinking can help us evaluate its application. In this module, you will learn about the key principles and stages in the design thinking process. You will consider CCT from the perspective of convergent and divergent thinking, de Bono's Six Hats, and ACARA's four quadrant model. Examples of "creative AI" will be examined to help us understand the barriers to machine creativity.
Name:Skills Module — Part B: Data Fluency, and Computational Thinking
Description:When it comes to computational thinking skills, there are two people who’ve been very influential in bringing them to the classroom. One is Seymour Papert who in the 1960s developed a computer program for children. The other influential person is Jeanette Wing, a data scientist, who wrote a short article advocating the use of computational thinking. In this module, you’ll appreciate that human or AI decision-making depends crucially on the quality of data. You’ll think about what data is, how it takes different forms and can be represented in different ways. Using the website, Machine Learning for Kids, we will look at what has been a classic problem in image recognition: being able to distinguish between cats and dogs. You’ll also learn about just what computational thinking is, its place in the Australian Curriculum, and the ideas and skills behind it. You’ll see how these skills can be developed with both “unplugged” and computer-based activities.
Name:Values Module: Ethical Decision Making, and Bias Awareness
Description:Back in the 1940s, one of the grand masters of science fiction, Isaac Asimov, introduced into his stories the "laws of robotics" which were designed to protect humans from wayward machines. While machine intelligence has not evolved in ways that Asimov could have foreseen, there is still a need to ensure that AI works for the good of society. In this module, we will explore some of the ethical issues associated with AI. We will look at a CSIRO framework to help deal with these issues. We will see that decisions or predictions based on AI can be just as biased and prejudicial as those made by human individuals and groups. The Human Rights Commission recently reported the results of a poll designed to garner support for a variety of protective measures (Hunter, F. 'Human Rights Commission warns government over “dangerous” use of AI.' SMH, August 15, 2020). For example, it might be considered important that people should know when a decision which affects them, has been made by computer and that they have the right to appeal against such a decision.
Name:Conclusion
Description:In this module we'll summarise the course, and remind you of some options you might like to utilise in your future teaching practice.
Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology. This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how. This course will appeal to teachers who want to increase their general understanding of AI, including why it is important for learners; and/or to those who want to embed AI into their teaching practice and their students’ learning. There is also a unique opportunity to implement a Capstone Project for students alongside this professional learning course. Macquarie School of Education at Macquarie University and IBM Australia have collaborated to create this course which is aligned to AITSL ‘Proficient Level’ Australian Professional Standards at AQF Level 8.