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 article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…

In this day and age there is a consistent rise in the usage of social media amongst all age groups thus, more people have established an online presence that makes these users more susceptible to becoming a target of cyberbullying. SafeGuard is a web-based application that monitors social media accounts and detects critical keywords such as…

More faculty are making the foray into digital scholarship as its tools offer novel and efficient approaches to answering research questions. However, faculty seeking to incorporate digital methods into their research may not have the necessary technical skills. Increasingly, libraries are adding digital scholarship support to the research support…

Keywords are important bibliometric tools for classifying, accessing, and summarizing research. Citations to the top 10 Google Scholar (GS) Profiles were retrieved for 20 kinesiology-related subject labels/keywords. Total citations to top scholars were largest for the disciplinary keywords "physical activity," "exercise,"…

This article creates a data-driven framework for the previously unframed concept of "on-the-go sourcing" (spontaneous actions anywhere, anytime or anyhow, whereby one instantly retrieves materials using the most accessible tools to obtain information about encountered matters). This framework was extracted from a pool of approximately…

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

Text mining techniques have become popular in many disciplines in the era of big data. Author profiling analysis, a method of text mining, is useful for identifying the intellectual structures of research fields and the latest research topics that did not appear from author co-citation analysis. This study analyzed the changing intellectual…

This study aims to analyze cyberbullying research in Turkey through bibliometric analysis. To this end, the study dealt with six research questions which included the most frequently used keywords and co-occurrences of these keywords, Turkey's collaboration with other countries, the frequency distribution of articles and citations by year, the…

Hands-on cybersecurity training allows students and professionals to practice various tools and improve their technical skills. The training occurs in an interactive learning environment that enables completing sophisticated tasks in full-fledged operating systems, networks, and applications. During the training, the learning environment allows…

The financial system is a highly competitive field whose applications range from as big as the strategic vision and missions of the multinational companies to as small as day-to-day household expenditure decisions or management of pocket money by students. Financial literacy is a life skill that, in theory, is highly related to the well-being of…

This research identifies the similarities and differences between the MathSciNet search features and functions of the American Mathematical Society (AMS) and EBSCOhost platforms. A series of iterative MathSciNet queries were performed on both platforms. For each query, the total number of results and search behavior were documented and analyzed.…

School-going individuals with Autism Spectrum Disorder (ASD) face challenges in educational settings, including reduced academic performance, motor- and social skills. Embodied cognition (EC), which emphasises the significant role of the body in human cognition, encompasses aspects such as motor control, non-verbal communication, and memory.…

The purpose of this study is to explore the realization of users' information rights (IRs) in the smart service of university libraries. Based on the LibQUAL model, principal component analysis (PCA) is used to measure the quality of smart services in university libraries. The contribution weight of various services to the realization of IRs is…