AI and the Future of STEM Learning: Engaging Research and Practitioner Audiences

人工智能和 STEM 学习的未来：吸引研究和实践者受众

• 批准号: 2040753
• 负责人: Jeremy Roschelle
• 金额: $ 5万
• 依托单位: Digital Promise Global
• 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 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040753&HistoricalAwards=false
• 关键词: AI; Future; STEM; Learning; Engaging; AI; Future; STEM; Learning; Engaging

Advances in artificial intelligence (AI) are rapidly accelerating, both in the United States and abroad. In the context of STEM learning, there is a strong need to engage both investigators and practitioners to create a research agenda that builds from an understanding of the strengths, weaknesses, and challenges presented by AI. Building on two recent invitational convenings in AI and education, the nonprofit Digital Promise will implement three online workshops to engage multiple communities in developing a future-oriented research agenda. The activities will build on recent research results from interdisciplinary conference proceedings (e.g., International Conference on Artificial Intelligence in Education, International Conference of the Learning Sciences).Specific activities will include three online workshops in STEM application areas, to include the role of AI with respect to: (1) learning and learning environments; (2) teacher learning and work; and (3) assessment. In the first part of each workshop, invited experts will provide an overview of current knowledge, expected advances, and important issues and barriers. Using a structured interactive tool, attendees will extend and refine the presentation. In the second part of each workshop, attendees will work in breakout groups to envision what must happen in the next 3-5 years to strengthen applications of AI to education. Approximately 60-100 participants will engage synchronously in each online workshop, drawing from Historically Black Colleges and Universities and other Minority Serving Institutions, school networks, and NSF INCLUDES awardees. Outcomes of the workshops will be published rapidly for wide distribution through both formal mechanisms as well as 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.

在美国和国外，人工智能（AI）的进步迅速加速。在STEM学习的背景下，迫切需要吸引研究人员和从业者创建一个研究议程，该研究议程是根据对AI提出的优势，劣势和挑战的理解来建立的。非营利性数字诺言将在AI和教育中最近的两个邀请赛召集的基础上，将实施三个在线研讨会，以吸引多个社区制定面向未来的研究议程。这些活动将基于跨学科会议程序的最新研究结果（例如，教育国际人工智能国际会议，国际学习科学会议）。特定的活动将包括STEM应用领域的三个在线研讨会，包括AI在以下方面的作用：（1）学习和学习环境； （2）教师学习和工作； （3）评估。在每个研讨会的第一部分中，受邀专家将概述当前的知识，预期进步以及重要问题和障碍。 使用结构化的交互式工具，与会者将扩展和完善演示文稿。在每个研讨会的第二部分中，与会者将在突破小组中工作，以设想未来3 - 5年内必须发生的事情，以加强AI对教育的应用。大约有60-100名参与者将同步参与每个在线研讨会，从历史悠久的黑人学院和大学以及其他少数族裔服务机构，学校网络和NSF汲取灵感。该研讨会的成果将通过正式机制和社交媒体迅速发布，以迅速发表，以反映NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准来评估值得支持的。