Improving Problem-based Learning through Personalized Online Instruction that Promotes Student Engagement, Motivation, and Self-efficacy

在NSF改善本科生STEM教育计划：教育和人力资源(IUSE：EHR)的支持下，该项目旨在通过开发针对工程入门课程本科生个人需求的教学支持来服务于国家利益。罗文大学将与梅西学院(一家西班牙裔服务机构)合作，研究智能辅导与基于叙事问题的模拟相结合的有效性，以增强学生对电气和计算机工程关键概念的理解。该项目的长期目标是开发一种师生课堂互动的数字模型，以解决学生的具体困难，从而改进以问题为基础的学习教学实践。该项目旨在通过融入智能的在线辅导，使在线问题导向学习个性化。此外，该项目计划开发一个基于人工智能的面部识别系统，以捕捉学习过程中学习者情绪的波动(例如，困惑、平静、自信)。该项目将进行研究，以探索个性化的在线问题学习在多大程度上提高学生的学习和解决问题的能力。这项研究的结果将为基于问题的学习、元认知和叙事模拟在本科教育中的有效性提供进一步的见解。指导这项工作的理论框架纳入了社会认知学习理论。传播成果的全面和积极的计划包括研讨会、出版物、网络和社交网络存在、在线教育工作者支持以及K-12外联活动。NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生的STEM教育的有效性。通过参与的学生学习轨道，IUSE项目支持有前景的实践和工具的创建、探索和实施。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

With support from the NSF Improving Undergraduate STEM Education Program: Education and Human Resources (IUSE: EHR), this project aims to serve the national interest by developing instructional support tailored to the needs of individual undergraduate students in introductory engineering courses. In collaboration with Mercy College (a Hispanic Serving Institution), Rowan University will examine the efficacy of combining intelligent tutoring with narrative problem-based simulations to enhance student comprehension of key concepts in electrical and computer engineering. The long-term objective of the project is to develop a digital model of student-teacher classroom interactions that address students' specific difficulties, thereby improving problem-based learning instructional practices. The project aims to personalize online problem-based learning through incorporation of intelligent, online tutoring. In addition, the project plans to develop an artificial intelligence-based facial recognition system to capture fluctuations in learner emotions (e.g., confusion; calm; confidence) during the learning process. The project will conduct research to explore the extent to which personalized, online problem-based learning enhances students' learning and problem-solving ability. Results of this research will provide further insights about the effectiveness of problem-based learning, metacognition, and narrative simulations in undergraduate education. The theoretical framework that guides the work incorporates social cognitive learning theory. A comprehensive and proactive plan for disseminating the results includes seminars, publications, web and social networking presence, online educator support, and K-12 outreach. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the IUSE program supports the creation, exploration, and implementation of promising practices and tools.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.