Conference: 2024 Personalized Learning Ideas Lab

该项目旨在通过将传统教学方法与尖端技术相结合，为未来的工程师创造一个包容和个性化的学习环境，从而彻底改变工程教育研究。近年来，工程教育研究的进展主要集中在教学法、问题解决和团队合作方面。然而，越来越需要探索个性化的学习方法，以满足个人的学习风格和需求。该项目与美国国家科学基金会的使命一致，即投资于变革性研究，并解决工程教育中个性化学习的迫切需求。今天的学习系统通常采用一刀切的方法，无视个体学习差异。个性化学习的概念可以追溯到20世纪初，它提供了一个定制教育课程以满足每个学习者的特定需求的机会。机器学习、数据挖掘和人工智能等先进技术的整合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，创造个性化学习的新方法。工程教育中的个性化学习理念实验室由美国工程教育学会（ASEE）与Knowinnovation公司（KI）合作主办，旨在为解决工程教育中的个性化学习系统的先进工程技术提出新颖的跨学科建议。研讨会将召集大约40名不同的研究人员，包括工程师、科学家和个性化学习系统领域的专家。创意实验室遵循创造性问题解决（CPS）方法，结合创造力，批判性思维和元认知技能，以促进解决问题和创意产生。参与者将分几个阶段工作，包括数据收集、问题框架、想法生成、解决方案创建和行动计划。研讨会将集中在三个主要领域：将工程教育研究扩展到多种学习环境，整合多模态传感器以改善工程学习中的物理任务，以及探索基于团队的设计和人机共同学习。这一倡议的广泛影响是深远的。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，为未来的工程师应对21世纪的挑战做好准备。此外，个性化学习系统可以解决传统教育系统中固有的不公平现象，促进工程教育的多样性、公平性和包容性。研讨会的合作性质激发了跨学科的思考，培养了一种创新精神，可以导致新的研究方向和技术创新。通过多个学科和部门的专家的协同作用，这个创意实验室将加速工程教育的转型，创造一个更加个性化、包容性和有效的模式，为学生在不断变化的世界中取得成功做好准备。该奖项反映了美国国家科学基金会的法定使命，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。

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.