Collaborative Research: Middle School Teacher and Student's Experiences with Artificial Intelligence via Computational Cameras

合作研究：中学教师和学生通过计算相机使用人工智能的体验

• 批准号: 1949384
• 负责人: Suren Jayasuriya
• 金额: $ 79.72万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949384&HistoricalAwards=false
• 关键词: Collaborative; Research; Middle; Teacher; Student

Artificial intelligence (AI) technology applied to images and video is transforming society with broad applications to many social and economic sectors. To develop a citizenry that will participate in this technological revolution, it is essential to develop learning experiences for K-12 learners on the foundations of AI literacy in order to adequately prepare the workforce of the future. Supporting the teaching of AI concepts in the K-12 curriculum requires integrating knowledge from multiple disciplines. This project will develop and implement technology-infused summer workshops for middle school students in grades 6-8 in the areas of computer vision and machine learning through a program called ImageSTEM. The program uses computational cameras to integrate computer science, math and design thinking in teaching visual AI concepts while also drawing inspiration from media arts to enhance science learning experiences. Learning technology modules to be developed include color and lighting for physics-based vision to understand the interface between the physical world and image sensing; image classification pipelines that teach the basics of visual feature extraction, machine learning classification, and the collection and training of data; and use of machine learning for synthetically-generated visual media. Underrepresented students, including predominantly Hispanic/Latino students from Phoenix, Arizona and African-American students from a rural area in Georgia, will gain understanding and explore future careers in AI and STEM. The ImageSTEM program will disseminate knowledge and research findings on necessary skills and factors that underlie image-based visual AI technology for future STEM workforce development in industry, education, transportation, and healthcare. This 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.Researchers will investigate the design and deployment of computational camera technology into the science and math curriculum of grades 6-8. Project objectives include (1) conducting six workshops across the two collaborating institutions of Arizona State University and the University of Georgia, co-creating the curricular material for the workshops alongside 36 middle school teachers, (2) deploying and testing in both the on-site workshops as well as in teachers’ classrooms during the academic school year, (3) gathering evidence to advance and deepen the field's understanding of students' development of computer science knowledge and practices in the areas of computer vision, machine learning, and artificial intelligence, and (4) assessing the impact of these experiences on the adoption and strengthening of STEM identities of teachers and students during the year after participation in the workshops. Research into the cognitive skills, scientific identity, and workforce development will be conducted for teachers and students participating in the ImageSTEM program using a mixed-methods approach. Affect control theory-based survey instruments, semi-structured interviews, teacher reflections, and researcher observations will be used to assess changes in STEM identities and STEM educational and career aspirations. The project outcomes include deployment of the workshop lessons into the middle school curriculum by teachers during the academic year, and contributions to teachers’ knowledge of visual AI technology, and how students learn and engage in problem-solving activities through visual AI applications. The project team will disseminate learning modules based on findings in the workshops and research activities through online and multimedia formats to the broader community of schools and teachers for greater impact.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.

适用于图像和视频的人工智能（AI）技术正在为许多社会和经济领域提供广泛的应用。要开发将参与这场技术革命的公民，为K-12学习者开发AI素养基础的学习经验至关重要，以充分准备未来的员工。支持K-12课程中AI概念的教学需要整合来自多个学科的知识。该项目将通过一个名为Imagestem的计划在计算机视觉和机器学习领域的中学学生开发并实施为中学生的技术夏季研讨会。该程序使用计算摄像机将计算机科学，数学和设计思维整合到教学视觉AI概念中，同时还从媒体艺术中吸引了灵感来增强科学学习经验。要开发的学习技术模块包括基于物理的愿景的颜色和照明，以了解物理世界和图像感测之间的接口；图像分类管道教授视觉特征提取，机器学习分类以及数据收集和培训的基础知识；并将机器学习用于合成生成的视觉媒体。代表性不足的学生，包括来自凤凰城，亚利桑那州和来自佐治亚州农村地区的非裔美国人学生的主要是西班牙裔/拉丁裔学生，将获得AI和STEM的未来职业。 ImageStem计划将传播有关必要技能和因素的知识和研究结果，这些技能和因素是基于图像的Visual AI技术，用于未来的STEM劳动力在行业，教育，运输和医疗保健领域的发展。 This 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.Researchers will investigate the design and deployment of computational camera technology into the science and math curriculum of grades 6-8.项目对象包括（1）在亚利桑那州立大学和佐治亚大学的两个合作机构中举办六个研讨会，共同创建了研讨会的课程材料与36位中学教师一起，（2）在现场讲习班以及在学院的课程中，在学院的课堂上（3）在学院的发展中，（3）在学院的开发中（3），（3在参加研讨会后的一年中，在计算机视觉，机器学习和艺术智能领域的实践以及（4）评估这些经验对教师和学生的STEM身份的影响。将对使用混合方法的教师和学生进行认知技能，科学身份和劳动力发展的研究研究。影响控制理论的调查工具，半结构化访谈，教师的思考以及研究人员的观察结果将用于评估STEM身份的变化以及STEM教育和职业愿望。该项目的成果包括在学年中将讲习班课程部署到中学课程中，以及对教师对视觉AI技术知识的贡献，以及学生如何通过视觉AI应用程序学习和从事解决问题的活动。该项目团队将通过在线和多媒体格式中的研讨会和研究活动中的发现来传播学习模块，并向更广泛的学校社区和教师提供更大的影响。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来通过评估来获得的支持。

项目成果

Investigating Changes in Teachers' Perceptions about Artificial Intelligence after Virtual Professional Development

调查虚拟专业发展后教师对人工智能看法的变化

• 发表时间: 2023
• 期刊: Journal of interactive learning research
• 作者: Kurz, T;Jayasuriya, S;Swisher, K;Mativo, J;Pidaparti, R;Robinson, D
• 通讯作者: Robinson, D

Changes in Middle School Teachers’ Thinking after Engaging in Professional Development Emphasizing Computer Vision

中学教师从事专业发展后的思考转变 重视计算机视觉

• 发表时间: 2021
• 期刊: Proceedings of SITE Interactive Conference
• 作者: Kurz, Terri;Jayasuriya, Suren;Rego, Joshua;Jackson, Kelly;Swisher, Kimberlee;Mativo, John;Pidaparti, Ramana;Robinson, Dawn;Collins, Cerenity
• 通讯作者: Collins, Cerenity

Mapping In-Service Teachers’ Thinking about Artificial Intelligence Before and After Professional Development

绘制在职教师职业发展前后对人工智能的思考

• 发表时间: 2022
• 期刊: Proceedings of EdMedia + Innovate Learning Online
• 作者: Kurz, T.;Jayasuriya, S.;Swisher, K.;Mativo, J.;Pidaparti, R.;Robinson, D.
• 通讯作者: Robinson, D.

Researching the Impact of Artificial Intelligence Curriculum on Teachers’ Thinking

人工智能课程对教师思维的影响研究

• 发表时间: 2022
• 期刊: Proceedings of SITE Interactive Conference
• 作者: Kurz, T.;Jayasuriya, S.;Swisher, K.;Mativo, J.;Pidaparti, R.
• 通讯作者: Pidaparti, R.

Middle School Teachers’ Perceptions of Computer Vision

中学教师对计算机视觉的看法

• 发表时间: 2023
• 期刊: Society for Information Technology & Teacher Education International Conference
• 作者: Swisher, K.;Kurz, T.;Jayasuriya, S.;Covert, J.;Mativo, J.;Pidaparti, R.;Robinson, D.
• 通讯作者: Robinson, D.