Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning
Abstract
Juego de ejercicios de Fisicoquímica (Grado en Farmacia): preparación de disoluciones, propiedades coligativas, fases, cinética y transporte. Cada estudiante recibe números distintos; un motor determinista calcula la solución y diagnostica el fallo por recálculo, y lleva a un ejercicio de refuerzo. La IA es opcional y solo explica, sin dar el resultado. Idea de Montserrat Varea Morcillo. Español, inglés y portugués. Physical-chemistry exercise game (Pharmacy degree): preparing solutions, colligative properties, phases, kinetics and transport. Each student gets different numbers; a deterministic engine computes the solution, diagnoses the mistake by recalculation and sends the student to a reinforcement exercise. The AI is optional and only explains, without giving the result. Idea by Montserrat Varea Morcillo. Spanish, English and Portuguese. Aplicación web de un solo fichero (HTML/JS, sin backend); funciona íntegramente en el navegador y la API key del usuario se almacena localmente. Parte del catálogo Herramientas IA para la academia (Universidad Miguel Hernández de Elche). App: https://fborrasumh.github.io/disolvia/
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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