generative ai

AI research in libraries (2017–2025): a scoping review with bibliometric mapping across the COVID era

Purpose This study examines how research on artificial intelligence (AI) in libraries evolved between 2017 and 2025, with specific attention to changes before, during and after the COVID-19 period. It seeks to identify shifts in publication trends, geographic participation, thematic emphases and methodological approach...

Teachers’ Perceptions of Generative Artificial Intelligence in Early Childhood and Primary Education: Barriers, Ethical Concerns, and Perceived Impacts

The growing integration of Generative Artificial Intelligence (GAI) into education has intensified the need to understand teachers’ perceptions of its implementation in the early stages of schooling. This study aimed to examine the barriers, ethical concerns, and perceived impact of GAI among Early Childhood and Primar...

Parasitic generative AI: how technologies feed on PR professionals' vulnerabilities

Purpose As artificial intelligence (AI), particularly Generative AI (GenAI), has been rapidly adopted in the public relations (PR) industry, it has prompted discussions about opportunities and challenges. Yet, how frontline PR professionals experience such rapid changes and how these changes affect their well-being are...

A RAG-Based Decision Support System for Occupational Exposure Assessment of VOCs: Design, Implementation, and Evaluation

Introduction: Assessing exposure to volatile organic compounds (VOCs) in workplaces requires timely access to accurate, standardized guidance on sampling and analysis. This study aimed to develop and evaluate a decision-support chatbot, based on the Retrieval-Augmented Generation (RAG) architecture, to assist occupatio...

Algorithmic Visibility and Automated Continuation: Infrastructural Mediation in Streaming Platforms

AI-mediated communication is commonly associated with conversational agents, generative systems, and emotionally responsive interfaces. This article examines Top-10 rankings and autoplay as forms of infrastructural mediation embedded in streaming-platform interfaces and discusses their relevance for AI-mediated communi...

Achievement emotions in AI-assisted learning, academic self-efficacy, and learning engagement and AI dependence among university students in statistics-related programs: a moderated mediation study

Background Generative artificial intelligence (AI) tools have become part of everyday coursework for university students, yet the emotional and motivational conditions under which these tools support or undermine learning remain poorly understood. Drawing on the control-value theory of achievement emotions, this study...

Generative AI Literacy and Research Self-Efficacy in Relation to Attitudes Toward Scientific Research Among Health Sciences Students: A Cross-Sectional Study

Generative artificial intelligence (GenAI) has rapidly entered undergraduate research training, yet its relationship with research self-efficacy and attitudes toward scientific research remains underexplored among Health Sciences students. This cross-sectional study examined how self-reported GenAI literacy and researc...

Semantic indeterminacy in agentic negotiation: agreement after the recession of the principal

Abstract Agentic AI systems increasingly do not merely respond within negotiations but participate in constituting them: they can add issues, instantiate participant agents, and modify procedural rules while an interaction is under way. Human action can be compositionally produced without thereby becoming authorless, a...

ПЕДАГОГИЧЕСКИЕ ВОЗМОЖНОСТИ ИНТЕГРАЦИИ ГЕНЕРАТИВНОГО ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В СИСТЕМУ ВЫСШЕГО ОБРАЗОВАНИЯ КАЗАХСТАНА

This article examines the opportunities and prospects for integrating artificial intelligence (AI) into the higher education system of the Republic of Kazakhstan in the context of widespread digitalization and the transformation toward an intelligent society. It provides an analysis of both domestic and international s...

Reconceptualizing outdoor geoscience learning for the generative AI era: a human-centered instructional model

Generative artificial intelligence (GenAI) creates a distinctive problem for outdoor geoscience learning: it can broaden questioning and explanation, yet it can also pre-structure what learners notice and displace their interpretation of field evidence. Existing field-learning frameworks explain how conceptual, geograp...

From traditional histopathology to virtual staining: deep learning approaches for assessing tissue lesions in farmed fish

Shaping Strategic Human Resource Management Through the Lens of Corporate Social Responsibility

Traditionally, human resource management has largely focused on maximizing organizational performance and efficiency, often emphasizing short-term gains in productivity and employee output. However, as businesses and scholars alike have become increasingly aware of the importance of sustainability, there has been a shi...