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Full-Text Articles in Education
Understanding Teacher Users Of A Digital Library Service: A Clustering Approach, Beijie Xu, Mimi Recker
Understanding Teacher Users Of A Digital Library Service: A Clustering Approach, Beijie Xu, Mimi Recker
Instructional Technology and Learning Sciences Faculty Publications
This article describes the Knowledge Discovery and Data Mining (KDD) process and its application in the field of educational data mining (EDM) in the context of a digital library service called the Instructional Architect (IA.usu.edu). In particular, the study reported in this article investigated a certain type of data mining problem, clustering, and used a statistical model, latent class analysis, to group the IA teacher users according to their diverse online behaviors. The use of LCA successfully helped us identify different types of users, ranging from window shoppers, lukewarm users to the most dedicated users, and distinguish the isolated users …
Where In The World? Demographic Patterns In Access Data, Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard
Where In The World? Demographic Patterns In Access Data, Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard
Instructional Technology and Learning Sciences Faculty Publications
Standard webmetrics tools record the IP address of users’ computers, thereby providing fodder for analyses of their geographical location, and for understanding the impact of e-learning and teaching. Here we describe how two web-based educational systems were engineered to collect geo-referenced data. This is followed by a description of joining these data with demographic and educational datasets for the United States, and mapping different datasets using geographic information system (GIS) techniques to visually display their relationships. Results from statistical analyses of these relationships that highlight areas of significance are given.
Educational Data Mining Approaches For Digital Libraries, Mimi Recker, Sherry Hsi, Beijie Xu, Rob Rothfarb
Educational Data Mining Approaches For Digital Libraries, Mimi Recker, Sherry Hsi, Beijie Xu, Rob Rothfarb
Instructional Technology and Learning Sciences Faculty Publications
This collaborative research project between the Exploratorium and Utah State's Department of Instructional Technology and Learning Sciences investigates online evaluation approaches and the application of educational data mining to educational digital libraries and services. Much work over the past decades has focused on developing algorithms and methods for discovering patterns in large datasets, known as Knowledge Discovery from Data (KDD). Webmetrics, the application of KDD to web usage mining, is growing rapidly in areas such as e-commerce. Educational Data Mining (EDM) is just beginning to emerge as a tool to analyze the massive, longitudinal user data that are captured in …
Unleashing The Usefulness Of Educational Resources Through Mining Of Educational Metadata, Anne R. Diekama, Jennifer A. Bailey, Blythe A. Bennett, Holly Devaul
Unleashing The Usefulness Of Educational Resources Through Mining Of Educational Metadata, Anne R. Diekama, Jennifer A. Bailey, Blythe A. Bennett, Holly Devaul
Instructional Technology and Learning Sciences Faculty Publications
While there is a strong movement to develop new educational resources to bring students to the competencies represented by educational content standards, it is recognized that there are vast repositories of educational resources already developed that are suitable to address those competencies. However, these resources need to be indexed by national and state standards to make them accessible for teachers who are increasingly required to teach to certain educational standards (Diekema and Chen, 2005). In the early 1980s, a perceived a crisis in the American education system encouraged the creation of national standards by professional subject-area organizations such as the …