Reset
Showing 10 of 190 academic articles

Expert Agents for Social and Emotional Learning: An Agentic Graph Retrieval Augmented Generation Approach

Eleni Fotopoulou, Anastasios Zafeiropoulos, Eleftheria Arkadopoulou, Christina-Maria Androna et al. • IEEE Access (2026)

The positive impact of Social and Emotional Learning (SEL) activities in schools is widely recognized in various sectors, including mental health, social relationships, and academic performance of students. This impact can be efficiently re...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3671870

The Effects of Large Language Models on the Generation of Multiple-choice Questions in Medical Education: A Scoping Review

Baleegh Elsir Ahmed Mohammed, Tanzeel Elsir Ahmed Mohammed, Anthony Paul Breitbach • Sudan Journal of Medical Sciences (2026)

Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...

DOAJ Open Access (DOAJ) DOI: 10.18502/sjms.v21i2.19868

Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study

Teerachate Nantakeeratipat • Frontiers in Digital Health (2026)

BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1687820

Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis

Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi, Yousef E. Alenezi et al. • Frontiers in Oral Health (2026)

IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...

DOAJ Open Access (DOAJ) DOI: 10.3389/froh.2025.1686090

A Primer on Generative Artificial Intelligence

Faisal Kalota • Education Sciences (2024)

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...

OPENALEX cc-by DOI: https://doi.org/10.3390/educsci14020172

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Silvia Margarian, Yihan Chen, Jumana Waheed, Parham Rezaeimanesh et al. • Scientific Reports (2026)

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-43430-x