Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…

The role of e-learning platforms in anatomy education continues to expand as self-directed learning is promoted in higher education. Although a wide range of e-learning resources are available, determining student use of non-academic internet resources requires novel approaches. One such approach that may be useful is the Google Trends© web…

This article presents Python codes that can be used to extract data from Securities and Exchange Commission (SEC) filings. The Python program web crawls to obtain URL paths for company filings of required reports, such as Form 10-K. The program then performs a textual analysis and counts the number of occurrences of words in the filing that…

Online searching is a skill that all professional programs educating librarians consider an essential part of their curricula. However, investigations of online searching behavior have centered almost exclusively on end users, and there have been no recent formal studies that explore the online searching behaviors of MLIS students. In this study,…

We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the COVID-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled relative to baseline. Areas of the country with higher…

This paper presents two interactive visualization tools for learning management systems (LMS) in order to improve learning and teaching in online courses. The first tool was developed at the Intelligent Information Systems Laboratory (IISLab) at the Tampere University of Technology (TUT). The tool is used to analyse students' activity from…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

Researchers that investigate the media's coverage of health have historically relied on keyword searches to retrieve relevant health news coverage, and manual content analysis methods to categorize and score health news text. These methods are problematic. Manual content analysis methods are labor intensive, time consuming, and inherently…

This study shows how users access relevant information in a visualized document space and determine whether BiblioMapper, a visualization tool, strengthens an information retrieval (IR) system and makes it more usable. BiblioMapper, developed for a CISI collection, was evaluated by accuracy, time, and user satisfaction. Users' navigation…

Reports on a quantitative categorical analysis of metadata elements in the Dublin Core, VRA (Visual Resource Association) Core, REACH (Record Export for Art and Cultural Heritage), and EAD (Encoded Archival Description) metadata schemas, all of which can be used for organizing and describing images. Introduces a new schema comparison methodology…

Aspects of Data Fusion (DF) for information retrieval are explored. Based on a geometrical model of DF, it is shown that in the ideal case, performance of DF for a pair of information retrieval schemes may be approximated by a quadratic polynomial. Compares counter-intuitive cases of DF with cases that behave according to the geometric model. (AEF)

Compares several "top-down" algorithms for identifying mirrored hosts on the Web. The algorithms operate on the basis of URL strings and linkage data: the type of information about Web pages easily available from Web proxies and crawlers. Results reveal that the best approach is a combination of five algorithms: on test data this…

Proposes methods to utilize image primitives to support term assignment for image classification. Proposes to release code for image analysis in a common tool set for other researchers to use. Of particular focus is the expansion of work by researchers in image indexing to include image content-based feature extraction capabilities in their work.…

Describes the holdings and services provided by the Roper Center, the largest archive of survey data in the world. Explains the structure of and topics included in the online database, and discusses fees, membership opportunities, and future plans for the center. A sidebar by Burns W. Roper is included. (CLB)

Uses an information processing approach to analyze the pausal behavior of end-users and identifies reasons for pausing, location of pauses, hesitation rate and pausal behavior changes over time. Confirms that searchers pause less frequently and for shorter periods as they progressed through searches over time. (Author/AEF)