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

通过个性化在线教学改善基于问题的学习，提高学生的参与度、动机和自我效能

• 批准号: 1913809
• 负责人: Ying Tang
• 金额: $ 30万
• 依托单位: Rowan University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1913809&HistoricalAwards=false
• 关键词: Improving; Problem; based; Learning; through

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.

在美国国家科学基金会改善本科STEM教育计划：教育与人力资源（IUSE: EHR）的支持下，该项目旨在通过开发适合工程入门课程本科生个体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（一个西班牙裔服务机构）合作，研究将智能辅导与基于问题的叙事模拟相结合的效果，以提高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个学生与教师课堂互动的数字模型，以解决学生的特定困难，从而改善基于问题的学习教学实践。该项目旨在通过结合智能在线辅导，个性化在线问题学习。此外，该项目计划开发一种基于人工智能的面部识别系统，以捕捉学习者在学习过程中情绪的波动（例如，困惑、冷静、自信）。该项目将开展研究，探索个性化的、基于问题的在线学习在多大程度上提高了学生的学习和解决问题的能力。本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。指导本研究的理论框架包括社会认知学习理论。一项全面而积极的传播结果的计划包括研讨会、出版物、网络和社交网络、在线教育支持和K-12外展。NSF IUSE: EHR计划支持研究和开发项目，以提高所有学生STEM教育的有效性。通过参与学生学习轨道，IUSE项目支持有前途的实践和工具的创建、探索和实施。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。

项目成果

Petri Nets and Hierarchical Reinforcement Learning for Personalized Student Assistance in Serious Games

Petri 网和分层强化学习在严肃游戏中为学生提供个性化帮助

• DOI: 10.1109/iccsi55536.2022.9970680
• 发表时间: 2022
• 期刊: 2022 International Conference on Cyber-Physical Social Intelligence
• 作者: Hare, Ryan;Tang, Ying
• 通讯作者: Tang, Ying

Player Modelling and Adaptation Methods within Adaptive Serious Games

自适应严肃游戏中的玩家建模和适应方法

• DOI: 10.1109/iccsi53130.2021.9736213
• 发表时间: 2022
• 期刊: 2021 International Conference on Cyber-Physical Social Intelligence
• 作者: Hare, Ryan;Tang, Ying
• 通讯作者: Tang, Ying

3D Multi-Angle Point Cloud Stitching Using Iterative Closest-point Stitching and K-Nearest-Neighbors

• DOI: 10.1109/iccsi55536.2022.9970689
• 发表时间: 2022-11
• 期刊: 2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)
• 作者: Pankti Patel;Ryan Hare;Ying Tang;Nidhi Patel

A Personalized Learning System for Parallel Intelligent Education

并行智能教育的个性化学习系统

• DOI: 10.1109/tcss.2020.2965198
• 发表时间: 2020
• 期刊: IEEE Transactions on Computational Social Systems
• 影响因子: 5
• 作者: Tang, Ying;Liang, Joleen;Hare, Ryan;Wang, Fei-Yue
• 通讯作者: Wang, Fei-Yue

Adaptive Narrative Game for Personalized Learning

用于个性化学习的自适应叙事游戏

• DOI: 10.1109/soli48380.2019.8955069
• 发表时间: 2019
• 期刊: and Informatics
• 作者: Tang, Y.;Hare, R.
• 通讯作者: Hare, R.