multidisciplinary

Dimensionality in data measurement indicates the number of data points assessing a variable. It is crucial for evaluating the Rasch Model, which helps analyze...

This research evaluates academic leaders' attitudes toward AI in administrative processes, focusing on the instrument's validity and reliability, participant demographics, and perceptions of AI....

The Growing Challenge of AI in Preprint Publishing Preprint servers like PsyArXiv are facing increasing scrutiny over questionable AI-generated content. A recent flagged manuscript, "Self-Experimental...

The study evaluates a novel GAN-based educational system's output quality and responsiveness compared to four baseline architectures—Baseline-GAN, StyleGAN, Pix2Pix, and CycleGAN. Using Fréchet Inception...

Embracing Authenticity in Academic Writing In an era dominated by AI, how can educators assess genuine student effort? Nikita Bezrukov shares innovative solutions from his...

The Pitfalls of AI Benchmarking in Science Artificial intelligence holds great promise in scientific advancement, yet as Anshul Kundaje of Stanford University points out, “bad...

Unlocking the Future with Autonomous AI Agents As the landscape of artificial intelligence evolves, developers are pivoting towards creating autonomous agents capable of operating with...

Summary of AI-Driven Citation Concerns in Academic Publishing In recent years, the surge of artificial intelligence in academic publishing has led to an alarming increase...