Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent
studies have found a significant amount of confusion and misunderstanding surrounding AI …

We introduce MMMU: a new benchmark designed to evaluate multimodal models on
massive multi-discipline tasks demanding college-level subject knowledge and deliberate …

Artificial Intelligence (AI) and academic essay writing merge to create a transformative
intersection in education, each reciprocally refining and reforming the other. AI, through its …

This study highlights the potential of fine-tuned ChatGPT (GPT-3.5) for automatically scoring
student written constructed responses using example assessment tasks in science …

This paper presents a comprehensive examination of how multimodal artificial intelligence
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …

Large language models (LLMs) exhibit impressive capabilities across diverse tasks in
natural language processing. Nevertheless, challenges arise such as large model …

Abstract In response to Li, Reigh, He, and Miller's commentary, Can we and should we use
artificial intelligence for formative assessment in science, we argue that artificial intelligence …

This study investigates the application of large language models (LLMs), specifically GPT-
3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written …

Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …