In Web search, query and click log data are easy to collect but they fail to capture user behaviors that do not lead to clicks. As search engines reach the limits inherent in click data and are hungry for more data in a competitive environment, mining cursor movements, hovering, and scrolling becomes important. This dissertation investigates how…

Information retrieval (IR) systems have tremendously broaden users' access to information. However, users need to select their needs from trillions of information indexed daily. Due to the "semantic gap" between queries and indexed terms in IR system, whether users can satisfy their needs depends on whether they use the correct terms as…

This investigation proposes the need for a paradigmatic shift in the production of formal and behavioral online information to accommodate the differing learning preferences of its audiences. Developments in the presentation of information itself and the management of its complexity have not progressed at the same rate as the technology that…

A personalized e-learning framework based on a user-interactive question-answering (QA) system is proposed, in which a user-modeling approach is used to capture personal information of students and a personalized answer extraction algorithm is proposed for personalized automatic answering. In our approach, a topic ontology (or concept hierarchy)…

Reports on a project that proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. This article describes the model, including a set of criteria and measures and a method for implementation. A literature review portrays settings for developing the model and places applications of the model in contemporary…

Presents findings from four studies of the prevalence of multitasking information seeking and searching by Web (via the Excite search engine), information retrieval system (mediated online database searching), and academic library users. Highlights include human information coordinating behavior (HICB); and implications for models of information…

Presents an application of a model of user evaluation of four major Web search engines (Alta Vista, Excite, Infoseek, and Lycos) by undergraduates. Evaluation was based on 16 performance measures representing five evaluation criteria-relevance, efficiency, utility, user satisfaction, and connectivity. Content analysis of verbal data identified a…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…