Collaborative Research: AI4GA - Developing Artificial Intelligence Competencies, Career Awareness, and Interest in Georgia Middle School Teachers and Students

合作研究：AI4GA - 培养佐治亚州中学教师和学生的人工智能能力、职业意识和兴趣

• 批准号: 2049029
• 负责人: David Touretzky
• 金额: $ 101.68万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2049029&HistoricalAwards=false
• 关键词: Collaborative; Research; AI4GA; Developing; Artificial

As Artificial Intelligence (AI) technologies begin to reshape modern society, educating younger students about AI has become a national priority for both the United States and its competitors. In these early days of K-12 AI education, little is known about how diverse student populations relate to AI and which instructional strategies are most likely to engage them. Since most K-12 teachers are not yet familiar with AI, research is also needed on how to develop their AI fluency and confidence. This project, a collaboration between researchers in AI and education and the Georgia Department of Education, will investigate these questions by developing and testing a nine-week elective course for Georgia middle school students called Living and Working with Artificial Intelligence, and an accompanying online teacher professional development course. The student course will offer a mixture of activities including hands-on demonstrations, guided experimentation, online research, project-based learning, and exploration of AI-enabled careers. Teachers will also have the option of including computer programming activities. To ensure that the curriculum is adaptable to the needs of different populations and cultures, researchers will partner with school districts serving three ethnically and geographically diverse populations in Georgia: rural, suburban, and urban areas, and with large populations of white, Latinx, or Black students respectively. Both courses will be developed in collaboration with a team of middle school teachers from these districts who will first receive training from the investigators in the basics of AI and in culturally responsive teaching. Working with these teachers as they pilot the course will provide an understanding of the challenges in teaching/learning the content and the types of support needed for diverse teachers and learners to succeed. The project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.Over the three year project duration, 18 teachers drawn from 6 school districts will receive training in AI and culturally responsive instruction, and 1800 students will take the Living and Working with Artificial Intelligence course. The project will investigate four research questions: (1) What are middle school students' and teachers' knowledge of, interest in, comfort with, and attitudes towards AI technology and AI careers? (2) What types of technology-driven and innovative learning experiences are effective in increasing rural, Black, and Latinx/Hispanic middle school students' AI interest, knowledge, skills, self-efficacy, and interest in AI careers? (3) What AI knowledge and skills are developmentally appropriate for middle school students? and (4) What institutional or cultural barriers/accelerators prevent/promote course implementation? The research will use a mixed-methods design combining attitudinal surveys, in-class observations, subject interviews, student reflections, and examination of student artifacts. At the conclusion of the project, the professional development course will be made publicly available through the Georgia Department of Education web portal. Additional project deliverables include the middle school course materials, AI demonstration software developed to support the middle school course, the research findings, and measurements of the effectiveness of the curriculum for diverse learner populations when implemented by middle school teachers in their classrooms. The results will also be disseminated through conference presentations, scholarly publications, and social media.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着人工智能（AI）技术开始重塑现代社会，教育年轻学生了解AI已成为美国及其竞争对手的国家优先事项。在K-12人工智能教育的早期，人们对不同的学生群体与人工智能的关系以及哪些教学策略最有可能吸引他们知之甚少。由于大多数K-12教师还不熟悉人工智能，因此还需要研究如何培养他们的人工智能流利性和信心。该项目是人工智能和教育研究人员与格鲁吉亚教育部的合作，将通过为格鲁吉亚中学生开发和测试为期九周的选修课程来调查这些问题，该课程名为“与人工智能一起生活和工作”，以及一个附带的在线教师专业发展课程。学生课程将提供各种活动，包括动手演示，指导实验，在线研究，基于项目的学习以及对AI职业的探索。教师还可以选择包括计算机编程活动。为了确保课程是适应不同的人口和文化的需求，研究人员将与学区服务三个种族和地理上不同的人口在格鲁吉亚：农村，郊区和城市地区，并与大量的人口白色，拉丁裔，或黑人学生分别合作。这两门课程都将与来自这些地区的中学教师团队合作开发，他们将首先接受调查人员关于人工智能基础知识和文化适应性教学的培训。与这些教师合作，因为他们试点课程将提供在教/学的内容和支持的类型不同的教师和学习者成功所需的挑战的理解。该项目由学生和教师创新技术体验（ITEST）计划资助，该计划支持建立对实践，计划元素，背景和过程的理解的项目，有助于增加学生对科学，技术，工程和数学（STEM）以及信息和通信技术（ICT）职业的知识和兴趣。来自6个学区的18名教师将接受人工智能和文化适应性教学的培训，1800名学生将参加人工智能生活和工作课程。本项目将调查四个研究问题：（1）中学生和教师对人工智能技术和人工智能职业的知识，兴趣，舒适度和态度如何？(2)什么类型的技术驱动和创新的学习经验是有效地提高农村，黑人和拉丁裔/西班牙裔中学生的人工智能的兴趣，知识，技能，自我效能和人工智能职业的兴趣？(3)哪些AI知识和技能适合中学生的发展？以及（4）哪些制度或文化障碍/加速器阻止/促进课程实施？研究将采用混合方法设计，结合态度调查，课堂观察，主题访谈，学生反思和学生文物的检查。项目结束时，专业发展课程将通过格鲁吉亚教育部门户网站向公众提供。其他项目可交付成果包括中学课程材料，为支持中学课程而开发的人工智能演示软件，研究结果以及中学教师在课堂上实施课程时对不同学习人群的有效性的测量。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Co-Designing an AI Curriculum with University Researchers and Middle School Teachers

与大学研究人员和中学教师共同设计人工智能课程

• DOI: 10.1145/3545947.3576253
• 发表时间: 2023
• 期刊: SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2
• 作者: Gardner-McCune, Christina;Touretzky, David;Cox, Bryan;Uchidiuno, Judith;Jimenez, Yerika;Bentley, Betia;Hanna, William;Jones, Amber
• 通讯作者: Jones, Amber

Interactive Visualizations of Word Embeddings for K-12 Students

• DOI: 10.1609/aaai.v36i11.21548
• 发表时间: 2022-06
• 作者: Saptarashmi Bandyopadhyay;Jason Xu;Neel Pawar;D. Touretzky

Lessons Learned From Teaching Artificial Intelligence to Middle School Students

向中学生教授人工智能的经验教训

• DOI: 10.1145/3545947.3576315
• 发表时间: 2023
• 期刊: SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2
• 作者: Touretzky, David;Gardner-McCune, Christina;Cox, Bryan;Uchidiuno, Judith;Kolodner, Janet;Stapleton, Patriel
• 通讯作者: Stapleton, Patriel

Guiding Students to Investigate What Google Speech Recognition Knows about Language

• DOI: 10.1609/aaai.v37i13.26905
• 发表时间: 2023-06
• 作者: D. Touretzky;Christina Gardner-Mccune