Latest Issue
Vol. 4, Issue 1 (March 2026)
Generative AI in Higher Education: A Systematic Review of Pedagogical Impacts
Dr. Sarah Jenkins, Prof. Michael Chen
Abstract
This paper explores the integration of generative artificial intelligence tools in university curricula, analyzing both the pedagogical benefits and ethical challenges. Through a systematic review of 142 recent studies, we identify key trends in AI-assisted learning, assessment modification, and the evolving role of educators in an AI-augmented academic environment.
Predictive Modeling of Urban Heat Islands Using Deep Learning and Satellite Imagery
Elena Rodriguez, David Kim, et al.
Abstract
We present a novel deep learning architecture for predicting urban heat island effects with high spatial resolution, combining meteorological data with multi-spectral satellite imagery. Our model demonstrates a 15% improvement in prediction accuracy over existing methods, offering urban planners a powerful tool for developing targeted mitigation strategies.
Algorithmic Bias in Healthcare Triage Systems: A Cross-Demographic Analysis
Dr. James Wilson, Dr. Amina Patel
Abstract
An investigation into the disparate impacts of machine learning algorithms used for patient triage across different demographic groups in metropolitan hospitals. This study highlights significant variances in triage accuracy based on socioeconomic status and race, proposing a new framework for auditing and mitigating algorithmic bias in clinical settings.