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.

应用于图像和视频的人工智能 (AI) 技术正在改变社会，并广泛应用于许多社会和经济领域。为了培养参与这场技术革命的公民，必须为 K-12 学习者开发学习体验。人工智能素养的基础，以便为未来的劳动力做好充分准备，支持 K-12 课程中人工智能概念的教学需要整合多个学科的知识，该项目将为中学生开发和实施技术注入的夏季研讨会。 6-8年级的领域该项目通过一个名为 ImageSTEM 的项目，利用计算相机将计算机科学、数学和设计思维整合到视觉人工智能概念的教学中，同时从媒体艺术中汲取灵感，以增强待开发的科学学习技术模块。包括基于物理的视觉的颜色和照明，以了解物理世界和图像传感之间的接口；教授视觉特征提取、机器学习分类以及数据收集和训练的基础知识；用于合成生成的视觉媒体。学生（主要包括来自亚利桑那州凤凰城的西班牙裔/拉丁裔学生和来自佐治亚州农村地区的非裔美国学生）将了解并探索人工智能和 STEM 领域的未来职业。 ImageSTEM 计划将传播有关必要技能和因素的知识和研究成果。该项目是基于图像的视觉人工智能技术，用于工业、教育、交通和医疗保健领域未来 STEM 劳动力的发展。该项目由学生和教师创新技术体验 (ITEST) 计划资助，该计划支持旨在加深对实践的理解的项目。程序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) 职业的知识和兴趣的要素、背景和过程。研究人员将研究计算相机技术在科学和技术领域的设计和部署。项目目标包括 (1) 在亚利桑那州立大学和佐治亚大学两个合作机构举办六次研讨会，与 36 名中学教师共同创作研讨会的课程材料，(2)部署和测试学年期间的现场研讨会和教师课堂，(3) 收集证据，以推进和加深对学生在计算机视觉、机器学习领域的计算机科学知识和实践发展的理解和人工智能，以及 (4) 评估这些经验对参加研讨会后一年内教师和学生采用和加强 STEM 身份的影响 将研究认知技能、科学身份和劳动力发展。为参与 ImageSTEM 项目的教师和学生进行，使用基于影响控制理论的调查工具、半结构化访谈、教师反思和研究人员观察将用于评估 STEM 身份以及 STEM 教育和职业愿望的变化。教师在学年中的中学课程，以及教师对视觉人工智能技术知识的贡献，以及学生如何通过视觉人工智能应用程序学习和参与解决问题的活动，项目团队将根据研究结果传播学习模块。通过在线和该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

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.