Topic models like latent Dirichlet allocation (LDA) provide a framework for analyzing large datasets where observations are collected into groups. Although topic modeling has been fruitfully applied to problems social science, biology, and computer vision, it has been most widely used to model datasets where documents are modeled as exchangeable…

Digital technologies enable the storage of vast amounts of information, accessible with remarkable ease. However, along with this facility comes the challenge to find pertinent information from the volumes of nonrelevant information. The present article describes the pearl-harvesting methodological framework for information retrieval. Pearl…

This article provides an overview of and rationale for the use of authority in school libraries--from both an historical and current/future perspective. First, the importance of consistent, meaningful authority term context and form is discussed. Then, the exciting, yet challenging, role of authority in today's information world is…

This study examines the Web sites of the Association of Research Libraries member libraries to determine the presence of a separate text version of the default graphical homepage. The content of the text version and the homepage is compared. Of 121 Web sites examined, twenty libraries currently offer a text version. Ten sites maintain wholly…

There are many contexts in which people make judgments about prior judgments. For example, Internet shopping bots (e.g., NexTag.com) allow consumers to search for products and, if the price is too high, list a price at which they would consider making the purchase (i.e., base judgment). If the price drops to this level, the vendor generates an…

Research on Tip of the Tongue (ToT) states has been used to determine whether access to syntactic information precedes access to phonological information. This paper argues that previous studies have used insufficient analyses when investigating the nature of seriality of access. In the first part of this paper, these complex issues are discussed…

This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…

This qualitative study examines first-year college students' online search habits in order to identify patterns in millennials' mental models of information retrieval. The study employed a combination of modified contextual inquiry and concept mapping methodologies to elicit students' mental models. The researcher confirmed previously observed…

Purpose: The purpose of this paper is to investigate users' knowledge and use of social networking sites and folksonomies to discover if social tagging and folksonomies, within the area of independent music, aid in its information retrieval and discovery. The sites examined in this project are MySpace, Lastfm, Pandora and Allmusic. In addition,…

Competency education is student-centric, personalizing student progress so that every child has adequate time and support to reach proficiency every step of the way. Competency education fundamentally changes the way the educational enterprise is organized around student needs, and thus must have a dynamic IT system to support it. Following an…

In the past few years, universities have become much more involved in outcomes assessment. Outside of the classroom analysis of learning outcomes, an investigation is performed into the use of current data mining tools to assess the issue of student retention within the Computer Information Systems (CIS) department. Utilizing both a historical…

We present a method to automatically detect collaborative patterns of student and tutor dialogue moves. The method identifies significant two-step excitatory transitions between dialogue moves, integrates the transitions into a directed graph representation, and generates and tests data-driven hypotheses from the directed graph. The method was…

A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…

Information searching skills have become increasingly important for prospective teachers with the exponential growth of learning materials on the web. This study is an attempt to understand the experiences of prospective teachers with search engines through metaphoric images and to further investigate whether their experiences are related to the…

This paper reports on a guided navigation system built on the textbook search engine developed at Anadolu University to support distance education students. The search engine uses Turkish Language specific language processing modules to enable searches over course material presented in Open Education Faculty textbooks. We implemented a guided…