This study employs advanced data mining techniques to investigate the DASS-42 questionnaire, a widely used psychological assessment tool. Administered to 680 students at Necmettin Erbakan University's Ahmet Kelesoglu Faculty of Education, the DASS-42 comprises three distinct subscales--depression, anxiety and stress--each consisting of 14 items.…

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…

In the development of physical theories, thought experiments play a crucial role. Research on this topic began in 1976 and has continued to the present. This study aims to provide a more complete picture of the progress of thought experiments over the past two decades. To achieve this, this study employs bibliometric mapping methods. A total of…

The current bibliometric study employed citation analysis and keyword analysis to perform a review of language assessment and testing. Based on citation counts and keywords, this study identified the recent trends/changes and the most influential regions, institutions, scholars, and publications in the field. In addition, the intellectual…

This study investigates the trends of doctoral dissertations produced in Türkiye in the field of Educational Technologies. 292 doctoral dissertations were included in this study which was conducted in the design of document analysis in the period between 2011 and 2020. The dissertations were put to content analysis by using the Dissertation…

Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…

Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS scores of 34 companies (clients) dealing with similar businesses in the US and Canada. With the given…

Many studies have highlighted the importance of personalized learning, and most current e-learning systems are able to personalize materials, activities, etc., based on individualized learner-factors. However, none of the extant word-learning systems provides a personalized learning experience that is guided by a comprehensive word learning…

Libraries are important to universities, and they have two primary features: readers as well as collections are highly professional. In this study, based on the experimental study with five millions of users' borrowing records, our discussion covers: (1) the necessity of recommender system for university libraries; (2) collaborative filtering (CF)…

Introduction: This paper reports an exploratory study examining how users participate in social tagging activities in a scholarly digital library environment to learn about their motivations, behaviour, and practices. Method: This study was conducted in two phases: a survey to investigate usage and attitudes of social tagging tool, and a…

This study was carried out in the framework of continuous professional development (CPD) programmes following a CPD model aimed at promoting "accomplished practice" involving: pedagogical knowledge, content knowledge, pedagogical content knowledge and scholarship of teaching. Teachers were asked to bring evidence about their practice.…

Student evaluations to measure the teaching effectiveness of instructor's are very frequently applied in higher education for many years. This study investigates the factors associated with the assessment of instructors teaching performance using two different data mining techniques; stepwise regression and decision trees. The data collected…

Discussion of finding relevant documents in electronic document collections focuses on an evaluation of the Kea automatic keyphrase extraction algorithm which was developed by members of the New Zealand Digital Library Project. Results are based on evaluations by human assessors of the quality and appropriateness of Kea keyphrases. (Author/LRW)

This paper discusses two efforts that offer solution paths to interoperability of the Z39.50 standard protocol for information retrieval. The first section provides background on interoperability and Z39.50, identifying the categories of syntactic protocol interoperability, functional protocol interoperability, and semantic interoperability. The…

Describes use of the Okapi system, an experimental text retrieval system at City University, London, on TREC (Text Retrieval Conference) test collections to investigate probabilistic models and weighting functions; automatic ad hoc experiments; and routing and filtering for query optimization. Discusses interactive system evaluation. (LRW)