期刊名称：Proceedings of the Canadian Engineering Education Association
出版年度：2017
出版社：The Canadian Engineering Education Association (CEEA)
摘要：Faculties at post-secondary institutions have employed systems to gather vast amounts of assessment data with the ultimate goal of using the data to improve the student learning experience. Unfortunately, the large amount of data and complex relationships make it difficult for instructors and administrators to interpret and enact program and policy changes based on it. Worse yet, this is still a nascent problem and there are few supports upon which they may lean. Information Visualization (IV) is one technique that has shown promise in facilitating the extraction of meaningful information, and a tool that can support a faculty’s extraction and application processes would be highly beneficial. This paper looks at the current work of IV in education. We look at what applications these visualizations are being used in, what considerations went into designing them, and how they were evaluated. This information will hopefully provide insight into how to build visualizations for a variety of other educational contexts.
