Aug 2026· Journal of International Students· 0 citations
Artificial Intelligence in Healthcare and Education
Abstract
The increasing integration of generative artificial intelligence (AI) into higher education is reshaping knowledge acquisition and academic learning processes. While existing scholarship emphasizes AI-enabled educational opportunities, limited attention has examined how sustained engagement with generative AI restructures students’ epistemic relationships with knowledge, particularly within underrepresented African higher education contexts. This study investigates the relationship between ChatGPT utilization and epistemic dependency among university students in Burundi and Sierra Leone using a sequential explanatory mixed-methods comparative design integrating survey data from 452 students and qualitative interviews. Findings indicate that increased ChatGPT utilization is associated with heightened algorithmic reliance, declining verification practices, and reduced independent inquiry behaviors. Comparative evidence further demonstrates that epistemic dependency remains institutionally contingent rather than technologically uniform. The study advances scholarship on AI-mediated learning by conceptualizing generative AI as an emerging epistemic intermediary influencing knowledge validation process within digitally transforming higher education environments.
This document outlines the conceptual, theoretical, and methodological underpinning of the AI-Augmented Pedagogy Integration Model (AAPIM), which has now been further supported by a growing evidence base of 2025–2026 meta-analyses and systematic reviews.
Ahnaf Afsin, Rumaysha Tahan Towaa, Kasif Suhail Ayate et al.· Frontiers in Computer Scienc...· 0 citations
It is suggested that AI engagement may be understood as a regulated process rather than solely a technology adoption process, and perceived usefulness was positively associated with trust and behavioral integration in the proposed model.
Generative AI tools such as ChatGPT are increasingly integrated into higher education. Empirical evidence on how they shape learning dynamics over time remains limited. Previous studies have often examined single learning outcomes, neglecting the interplay between cognitive, motivational, and metacognitive proces...
Chrysanthi Melanou, Maik Beege, M. Kimmig· Journal of Computer Assisted...· 0 citations
The present study proposes a nested instructor-student-GenAI triadic conceptual model for higher education that positions GenAI as a bounded didactic-pedagogical mediator operating within a shared didactic mediation space.
Sharmila Rani Moganadas, Freddy Marín-González, Shwu Huey Nun et al.· Frontiers in Education· 2 citations
AI has considerable potential to complement conventional pedagogical practices and contribute to more adaptive and student-centered higher education, provided that its implementation is guided by sound pedagogical principles and responsible governance frameworks.
Sugandha Sahay, Gouranga Patra· International Journal for Sc...· 0 citations
ChatGPT has rapidly gained popularity among educators and learners, demonstrating its potential to facilitate interactive learning, personalized assistance, and academic support, and the need for guidelines, digital literacy, and ethical frameworks to ensure productive and balanced use of AI in education.
Anuradha Dwivedi, Pragati Pandey, Naveen Mni· International journal of com...· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
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