“它回答了我都没意识到自己有的问题”：博士生对信息共享知识图谱的评价
"It answers questions that I didn't know I had": Ph.D. Students' Evaluation of an Information Sharing Knowledge Graph
AI总结：
本研究针对跨学科博士生信息分散、隐性知识难获取的问题，提出一款参与式设计的信息共享知识图谱，经评估证实其可降低学业压力、辅助决策，支持隐性知识交流，可推广至其他跨学科领域。
摘要：
跨学科博士项目可能颇具挑战性，因为学生所需的关键信息或许难以直接获取，这些信息分散在大学各网站上，而隐性知识只能通过与人互动获得。因此，有必要开发一种知识管理模型，为跨学科学生创建、查询和维护知识库。我们提出了一种知识图谱，其中包含从多来源提取的、对跨学科博士生至关重要的关键类别信息及其相互关系。本研究评估了一款参与式设计的知识图谱的可用性，该图谱旨在促进信息交流与决策。可用性研究结果表明，与该知识图谱交互能为博士生带来益处，可显著降低不确定性和学业压力，对新生群体尤其如此。知识图谱为他们的决策提供了支持，尤其是在跨学科环境中选择合作者时。关键的实用功能包括探索师生网络、里程碑追踪、快速访问聚合数据，以及了解众包收集的同侪学生活动情况。该知识图谱为满足博士研究者的个性化需求提供了一种解决方案，并有潜力大幅改善信息发现和决策流程。它还具备当前大多数方法所缺失的隐性知识交流支持，这对该群体以及建立跨学科合作至关重要。这种方法可应用于全球其他跨学科项目和领域。
英文摘要：
Interdisciplinary PhD programs can be challenging as the vital information needed by students may not be readily available, it is scattered across university's websites, while tacit knowledge can be obtained only by interacting with people. Hence, there is a need to develop a knowledge management model to create, query, and maintain a knowledge repository for interdisciplinary students. We propose a knowledge graph containing information on critical categories and their relationships, extracted from multiple sources, essential for interdisciplinary PhD students. This study evaluates the usability of a participatory designed knowledge graph intended to facilitate information exchange and decision-making. The usability findings demonstrate that interaction with this knowledge graph benefits PhD students by notably reducing uncertainty and academic stress, particularly among newcomers. Knowledge graph supported them in decision making, especially when choosing collaborators in an interdisciplinary setting. Key helpful features are related to exploring student faculty networks, milestones tracking, rapid access to aggregated data, and insights into crowdsourced fellow students' activities. The knowledge graph provides a solution to meet the personalized needs of doctoral researchers and has the potential to improve the information discovery and decision-making process substantially. It also includes the tacit knowledge exchange support missing from most current approaches, which is critical for this population and establishing interdisciplinary collaborations. This approach can be applied to other interdisciplinary programs and domains globally.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
