generative ai

Generative AI and Predictive Intelligence in Vehicular Networks

"Smarter but Not Wiser": A Transdisciplinary CFA-GRM Simulation Pipeline for Mapping Human–GenAI Interaction

Background The integration of Generative AI (GenAI) in higher education creates a paradox between technical efficiency and cognitive depth. Current institutional responses rely more on fragmented oversight than on ecology- and process-oriented assessment. There is a lack of diagnostic tools to map psychometric threshol...

Open Educational Resource: AI for Learning Capabilities

Resource Purpose: To support generative conversations and shared understanding about GenAI in higher education.Project Purpose: To understand how students themselves talk about working with generative AI for university study.

Generative AI use and the 2022–2025 decline in PISA performance across countries

Generative artificial intelligence (AI) has spread rapidly among students since 2022, and PISA 2025 recorded its lowest results. In a preregistered study, we related four independent country-level AI-use measures to the mathematics, reading and science PISA performance of 15-year-olds. Countries with more AI use scored...

Inclusive assessment design in the age of GenAI: Advancing pedagogy and practice

In an educational landscape rapidly transformed by Generative AI (GenAI), inclusive assessment design is essential to sustaining equity and meaningful learning in higher education. This study took place at a Russell Group university in the United Kingdom. Focus groups were conducted with undergraduate and taught postgr...

Typologies and Competencies of Prompt Literacy in Generative Artificial Intelligence

This scoping review summarizes findings on an emergent area, “prompt literacy,” in generative artificial intelligence (GenAI). It specifically maps key types identified in prompt literacy, including the competencies associated with each. Using a systematic approach to analyze recent literature on the types of prompts (...

When Nobody Knows What Is Real: Associations Between AI-Generated Manipulation, Fear of AI Fraud, Privacy Protection Behavior, and Trust in AI Governance

The rapid proliferation of generative artificial intelligence (AI) has intensified concerns regarding misinformation, identity fraud, privacy, and public trust in AI governance. This study examines the associations among perceived exposure to AI-generated manipulation, fear of AI fraud, privacy protection behavior, and...

naibaf2/gen-ai-model-collapse-social-welfare: Code for "Generative artificial intelligence can reduce social welfare through model collapse" (revised submission)

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"Can You Spot AI? A Survey Dataset on Human Identification of AI-Generated and Human-Written Content"

"This dataset presents 1,428 survey responses collected to investigate human ability to distinguish AI-generated content from human-written content. The survey captures demographic characteristics, educational background, field of study, generative artificial intelligence usage frequency, AI tools used, confidence in i...

Framing SECI model through an artificial knowledge generation perspective: a case study analysis in the GenAI era

Purpose This study aims to examine the influence of generative artificial intelligence (GenAI) on the phases of knowledge creation as delineated by Nonaka’s SECI model. Furthermore, it delineates the fundamental interactions among the components of a theoretical framework for the artificial knowledge generation through...

Диалогическая когнитивная система с внешне сохраняемым состоянием: новая архитектура совместного мышления человека и ИИ

В статье предлагается концепция диалогической когнитивной системы с внешне сохраняемым состоянием как особой архитектуры совместного мышления человека и генеративного искусственного интеллекта. Рассматривается ситуация, в которой развивающееся рассуждение сохраняется во внешнем диалоге и может продолжаться после времен...

Integrating Prompt Literacy Into Learning Management Systems for Effective Use of Generative AI in Education

Prompt literacy is a term introduced in this chapter that refers to designing, evaluating, refining, and reflecting on prompts for artificial intelligence systems. With the growing popularity of generative AI in education and K-12 settings, students may interact with generative AI systems without developing necessary c...