The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user…

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases that cover the large and growing number of distinct shoe models. Additionally, existing methods for matching crime-scene shoeprints to reference databases…

The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource.…

While geographic search filters exist, few of them are validated and there are currently none that focus on Germany. We aimed to develop and validate a highly sensitive geographic search filter for MEDLINE (PubMed) that identifies studies about Germany. First, using the relative recall method, we created a gold standard set of studies about…

The application of multimedia technology in college English classroom teaching is suitable for sports and mute with illustrations, excellent audio, and video. The application of multimedia in the field of education has become the focus of the current English education reform, and education has entered the industrial age and the information age.…

This dissertation explores the utilization of a Knowledge Graph of "Micro-topics'' arranged into "Learning Pathways'' (KGMLP) through three learning activities: spaced retrieval, reading, and collaborative note-taking. The objective is to enhance four (out of six) levels of Bloom's digital taxonomy of cognitive processes: remembering,…

Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…

This study assessed how an academic library implemented lean principles to enhance its electronic resource workflows and processes. Twelve librarians who managed access to electronic resources at the library participated in the study. Data were collected through interviews and observation. Reflexive thematic data analysis revealed that knowledge…

This study investigates how article downloads from ScienceDirect changed after Temple University Libraries downsized its all-inclusive Elsevier big deal bundle to a selective custom package. After the libraries lost current-year access to nearly half of Elsevier's active journals, the total downloads from Elsevier journals declined by 16.2 percent…

Integrating artificial intelligence (AI) in English for Nursing instruction has become increasingly important as healthcare becomes more technologically driven and globally connected. This systematic review analyzes 28 studies published from 2022 to 2024 to examine the current state of AI implementation in nursing ESP education. The findings…

Blended learning sets solid foundations for the utilization of educational technology in authentic student learning experiences within traditional educational contexts as well as in distance education. The author introduces an integrated and distributed model of blended learning, utilizing educational technology for authentic student learning…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Based on the consistent development of technologization, robotics has become widely used in many fields of activity as a tool and an educational resource. This article presents some arguments about insufficiency, as well as the importance of further academic discourse, which can serve as a starting point for similar studies and the development of…

Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…