Humanities & Social Sciences

Using scientometric methods on 269 original research articles retained after PRISMA screening from Scopus and Web of Science, this study finds that the intellectual core of XAI research in decision dashboards is organized around explainable AI, decision making, and deep learning, that themes have shifted over time from classical machine learning such as neural networks and support vector machines toward visual deep learning, visualization techniques, trust, and intelligent decision support systems, and that the field is moving from a technology-centered toward a human- and decision-centered paradigm.

The article titled "Bibliometric Analysis and Co-word Mapping: The Field of Knowledge Graphs" organizes and reviews literature on the knowledge graph research field using bibliometric and co-word analysis, with references spanning knowledge graph definitions and surveys, embedding methods, completion and refinement, domain-specific graphs, educational applications, and scientometric and co-word methods themselves; however, the text available here is only the reference list, and the body, figures, and specific bibliometric results are not included.

The work is titled 'Mapping and Analysis of Global Research Trends on Strategizing: A Scientometric Approach' and sets out to map and analyze global research trends on strategizing using scientometric methods; however, the loaded text is only a reference list containing strategy-as-practice scholarship by Whittington, Jarzabkowski, Vaara, and Seidl alongside methodological sources such as Aria & Cuccurullo's Bibliometrix and Zupic & Čater's bibliometric methods review, with no abstract, data source, search strategy, sample size, results, or conclusions, so what the study actually did and found cannot be extracted from this text.

This qualitative phenomenological study interviewed 10 virtual elementary teachers of kindergarten through fifth grade at a large elementary virtual school and used Creswell and Poth's (2018) data analysis spiral to derive four themes—efficiency, preservation of the teacher role, instructional enhancement, and AI literacy—showing that teachers simultaneously weigh efficiency and enhanced instructional quality against misinformation, privacy protection, ethical concerns, and misuse, and view generative AI as a dynamic tool whose value depends on thoughtful, informed, and human-centered application.

Using a convenience sample of 100 scientometric experts, data analysts, university research-evaluation unit experts and managers, and representatives of scientific databases, reference libraries, and scientometric service companies in Tehran, the study collected data with a researcher-designed Likert-scale questionnaire based on English-language articles and tested hypotheses with simple regression in SPSS 26, finding that the use of new technologies in the scientometric process is positively associated with increased accuracy in scientific evaluation (the coefficient of determination shows 73% of the variance in accuracy explained by new-technology use), that technological innovation within scientometric frameworks promotes fairness (64% of variance in fairness explained), that new-techno

Using Claude to score roughly 19,000 O*NET task descriptions across about 900 occupations by how controlled an environment a robot needs, the authors build a robot exposure index and find that today's robots can perform 74% of US physical tasks (34% of working hours) but are cost-competitive for only 0.3% of work, while a backtest since 1977 shows jobs with higher exposure later saw wage and employment declines.