Conference: 2024 Personalized Learning Ideas Lab

会议：2024个性化学习理念实验室

• 批准号: 2335705
• 负责人: Alexandra Sharpe
• 金额: $ 43.56万
• 依托单位: American Society For Engineering Education
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335705&HistoricalAwards=false
• 关键词: Conference; 2024; Personalized; Learning; Ideas

This project aims to revolutionize engineering education research by merging traditional teaching methods with cutting-edge technology to create an inclusive and personalized learning environment for future engineers. In recent years, advancements in engineering education research have focused on pedagogy, problem-solving, and teamwork. However, there is a growing need to explore personalized learning approaches that cater to individual learning styles and needs. This project aligns with the National Science Foundation's mission to invest in transformative research and addresses the pressing need for personalized learning in engineering education. Today's learning systems often assume a one-size-fits-all approach, disregarding individual learning differences. Personalized learning, a concept dating back to the early 20th century, presents an opportunity to tailor educational curricula to meet the specific needs of each learner. The integration of advanced technologies such as machine learning, data mining, and artificial intelligence holds immense potential to create transformative learning environments. This project will host a workshop that brings researchers together to create new approaches to personalizing learning.The Personalized Learning in Engineering Education Ideas Lab, hosted by the American Society for Engineering Education (ASEE) in partnership with Knowinnovation, Inc. (KI), seeks to generate novel interdisciplinary proposals for advanced engineering technologies addressing personalized learning systems in engineering education. The workshop will convene a diverse group of about forty researchers, including engineers, scientists, and domain experts in personalized learning systems. The Ideas Lab follows the Creative Problem Solving (CPS) methodology, incorporating creativity, critical thinking, and metacognitive skills to facilitate problem-solving and idea generation. Participants will work in several stages, including data gathering, problem framing, idea generation, solution creation, and action planning. The workshop will focus on three primary areas: extending engineering education research into multiple learning contexts, integrating multimodal sensors to improve physical tasks in engineering learning, and exploring team-based design and human-machine co-learning. The broader impacts of this initiative are far-reaching. By promoting personalized learning in engineering education, this project directly impacts the quality of education, preparing future engineers for the challenges of the 21st century. Additionally, personalized learning systems can address inherent inequities within traditional education systems, fostering diversity, equity, and inclusion in engineering education. The collaborative nature of the workshop stimulates cross-disciplinary thinking, fostering an innovative spirit that can lead to novel research directions and technological innovations. Through the synergy of experts from multiple disciplines and directorates, this Ideas Lab will accelerate the transformation of engineering education, creating a more personalized, inclusive, and effective model that prepares students for success in an ever-changing world.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.

该项目旨在通过将传统教学方法与尖端技术合并，为未来的工程师创造包容性和个性化的学习环境，从而彻底改变工程教育研究。近年来，工程教育研究的进步集中在教学法，解决问题和团队合作上。但是，越来越需要探索迎合个人学习风格和需求的个性化学习方法。该项目与国家科学基金会（National Science Foundation）投资变革性研究的使命相吻合，并解决了工程教育中个性化学习的紧迫需求。当今的学习系统通常会采用一种千篇一律的方法，无视个人学习差异。个性化的学习是一种可以追溯到20世纪初的概念，为量身定制教育课程的机会提供了一个机会，以满足每个学习者的特定需求。机器学习，数据挖掘和人工智能等先进技术的集成具有创造变革性学习环境的巨大潜力。该项目将举办一个研讨会，将研究人员聚集在一起，以创建个性化学习的新方法。由美国工程教育学会（ASEE）与知识融合公司合作主持的工程教育思想实验室中的个性化学习实验室（KI）为高级工程技术生成新颖的跨学科建议，以解决工程教育中的个性化学习系统。该研讨会将召集大约四十个研究人员的多样化小组，包括工程师，科学家和个性化学习系统的领域专家。想法实验室遵循创造性的问题解决方法（CPS）方法，结合了创造力，批判性思维和元认知技能，以促进解决问题和想法的产生。参与者将在多个阶段工作，包括数据收集，问题框架，想法产生，解决方案创建和行动计划。研讨会将重点关注三个主要领域：将工程教育研究扩展到多种学习环境中，整合多模式传感器以改善工程学习中的物理任务，并探索基于团队的设计和人机合作学习。该计划的更广泛影响是深远的。通过促进工程教育中的个性化学习，该项目直接影响教育质量，从而为未来的工程师做好了21世纪的挑战。此外，个性化的学习系统可以解决传统教育系统内的固有不平等，从而促进多样性，公平性和在工程教育中的包容性。研讨会的协作性质刺激了跨学科的思维，促进了一种创新精神，可以导致新的研究方向和技术创新。通过来自多个学科和董事的专家的协同作用，该想法实验室将加速工程教育的转变，创建一个更个性化，包容和有效的模型，为学生在不断变化的世界中取得成功做好准备。这一奖项反映了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评估值得支持的。