generative ai

Engaging HBCU Students in Active Learning for Blockchain, FinTech, and Generative AI: A Human-Centered Pedagogical Framework

A human-centered pedagogical framework to engage HBCU students in active learning about blockchain, FinTech, and generative AI is proposed and suggests that active, collaborative, and AI-supported pedagogy can increase student participation, reduce anxiety around technical topics, support inclusive learning, and streng...

Efficacy and Mechanism of Generative AI in Empowering English Writing Instruction

The results show that generative AI-assisted instruction has a moderately strong facilitative effect on learners' writing performance, achieved mainly by reducing extraneous cognitive load, enhancing writing self-efficacy, and deepening feedback engagement.

Extending the affective process and strategic engagement framework to address writer’s block in Ethiopian English as a foreign language contexts through critical artificial intelligence literacy and ethical generative artificial intelligence in low-resource settings

Abstract Writer’s block remains a serious obstacle for undergraduate English as foreign language writers, particularly in low-resource Global South settings, where writing anxiety, linguistic insecurity, and unreliable internet access intensify the challenge. Researchers have shown growing interest in generative artifi...

Mapping generative AI governance readiness in Kurdistan Region universities

It is argued that universities should move beyond plagiarism control toward transparent, multilingual, locally grounded AI governance that supports academic integrity, responsible learning, assessment fairness, data protection, and student and staff AI literacy.

Building Financial Resilience at HBCUs through Generative AI, FinTech, Blockchain, and Cybersecurity Education

Financial resilience has become an urgent educational priority as individuals face increasingly complex decisions involving budgeting, debt, credit, retirement planning, digital payments, online fraud, artificial intelligence tools, and rapidly changing financial technologies. Historically Black Colleges and Universiti...

Artificial Intelligence in Language Education: Pedagogical Applications, Representative Platforms, and Human Oversight

Artificial intelligence is reshaping language education through automated feedback, speech recognition, adaptive practice, dialogue systems, machine translation, learning analytics, and generative language models. This article critically reviews the principal pedagogical uses of these technologies and examines represen...

How does AI-generated assessment compare to expert assessment in simulation-based experiences: Analyzing AI-human interrater reliability

Abstract Background In the health professions, artificial intelligence simulation-based experiences (AI-SBEs) are increasingly used to evaluate learner performance and provide feedback. Benefits of AI-SBEs include providing instantaneous feedback, allowing more practice opportunities than feasible using traditional met...

Generative AI chatbot vs telephone counseling for youth tobacco cessation: a pragmatic pilot randomized trial

ns3-agent: Fostering Integrated Perception-Communication-Computing Research for Agentic AI Services via Cross-Platform Co-Simulations

The rapid proliferation of Generative AI (GenAI) has catalyzed the emergence of autonomous agentic AI services, spanning large language model (LLM) or vision-language model (VLM) based digital agents to vision-language-action (VLA) based embodied intelligence. Consequently, tokens and multimodal data streams have emerg...

ns3-GenAI: Integrating Large Language Models with ns3 for AI-Native Network Simulations

Existing ns3/AI bridges target numeric reinforcement learning (RL) pipelines and cannot handle the text-centric prompt/response exchange, structured output validation, and multi-node orchestration that large language models (LLMs) require. We introduce ns3-GenAI, an open framework that augments the ns3 shared-memory in...

CCDF: A Benchmark Dataset for Deepfake Detection in Real-World Surveillance Footage

CCDF is a highly realistic, small-scale, manually annotated dataset targeting evaluation of detection models, and its results further confirm that existing datasets are not well-suited to evaluating certain threats.

Mapping AI Ethics Integration in Postgraduate Health Professions Education: A Scoping Review Through the Lenses of Principlism and Transformative Learning.

This study maps how AI ethics is taught within postgraduate/CPD HPE, drawing on principlism, an ethical framework espousing the principles of autonomy, beneficence, non-maleficence and justice and transformative learning theory (TLT), which explains how critical reflection transforms professional assumptions, perspecti...