A Study in Engaging Students with Complex Topics through Knowledge Graphs

通过知识图让学生参与复杂主题的研究

• 批准号: 2121572
• 负责人: William Tomlinson
• 金额: $ 30万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2121572&HistoricalAwards=false
• 关键词: Study; Engaging; Students; Complex; Topics

This project aims to serve the national interest by improving sustainability science instruction and learning at a general education level for undergraduate students. Educating future generations about sustainability science is a critical problem for humanity’s collective future. Recognizing the importance of this topic, many colleges and universities have established or are developing general education courses on sustainability science that every student must take. This project will improve undergraduate STEM education by developing and studying the effectiveness of educational modules that engage students from many different majors with sustainability science and helping them grapple with the complexity of the topic. It is based on the key observation that knowledge graphs, an emerging means of storing information computationally, provide a potential way to span across disciplines and unpack complexity one layer at a time. They allow students to engage with problems that more accurately represent the challenges of sustainability science than traditional techniques. The contributions of the project include: (1) a new knowledge graph-based approach to supporting student learning of concepts in sustainability science that addresses a critical shortcoming in the sustainability education landscape; (2) assessments of this approach in terms of engagement and efficacy at helping students learn key concepts in sustainability; and (3) a publicly available computational scaffolding for this technique.The central goal of the project is to assess three core research questions: (1) Can knowledge graph-based educational modules help students improve their understanding of sustainability concepts within and across fields? (2) Can student contributions to a shared knowledge graph form a useful foundation for later pedagogical activities? (3) Can students contribute accurate and relevant sustainability information to a global, public knowledge graph through their coursework? The team will investigate these questions by developing a novel computational platform for education and deploying it with more than 2,000 students across two universities. The platform developed as part of this grant will enable students to make their own knowledge graphs based on course content and integrate their graphs with those of their peers, as well as complete further activities based on revising the collective graph. Assessment will involve both quantitative and qualitative evaluations of the course modules and their effect on student learning, as well as computational analyses of the collectively-constructed graph. 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 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.

该项目旨在通过改善本科生在普通教育水平上的可持续性科学教学和学习来服务于国家利益。对子孙后代进行可持续发展科学教育是人类集体未来的一个关键问题。认识到这一主题的重要性，许多学院和大学已经建立或正在开发每个学生都必须参加的可持续发展科学通识教育课程。该项目将通过开发和研究教育模块的有效性来改善本科STEM教育，这些模块使来自许多不同专业的学生参与可持续发展科学，并帮助他们应对该主题的复杂性。它基于一个关键的观察，即知识图，一种新兴的计算存储信息的方法，提供了一种跨越学科和一次一层地解开复杂性的潜在方法。它们允许学生参与比传统技术更准确地代表可持续发展科学挑战的问题。该项目的贡献包括：（1）一种新的基于知识图的方法，以支持学生学习可持续发展科学的概念，解决了可持续发展教育领域的一个关键缺陷;（2）评估这种方法在帮助学生学习可持续发展关键概念方面的参与度和有效性;以及（3）一个公开可用的计算支架。该项目的中心目标是评估三个核心研究问题：（1）基于知识图的教育模块能否帮助学生提高对领域内和跨领域可持续发展概念的理解？(2)学生对共享知识图谱的贡献能否为以后的教学活动奠定有用的基础？(3)学生能否通过他们的课程为全球公共知识图谱贡献准确和相关的可持续发展信息？该团队将通过开发一种新型的教育计算平台来研究这些问题，并将其部署在两所大学的2,000多名学生身上。作为该补助金的一部分开发的平台将使学生能够根据课程内容制作自己的知识图，并将他们的图与同龄人的图整合在一起，并根据修改集体图完成进一步的活动。评估将涉及课程模块的定量和定性评估及其对学生学习的影响，以及集体构建的图形的计算分析。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。该奖项反映了NSF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

Improving Wikidata with Student-Generated Concept Maps

• DOI: 10.1609/icwsm.v16i1.19285
• 发表时间: 2022-05
• 作者: Hayden Freedman;A. Hoek;Bill Tomlinson