Generative artificial intelligence (AI) has spread rapidly among students since 2022, and PISA 2025 recorded its lowest results. In a preregistered study, we related four independent country-level AI-use measures to the mathematics, reading and science PISA performance of 15-year-olds. Countries with more AI use scored higher, but, critically, they also tended to show larger declines or smaller gains between 2022 and 2025, as predicted. This association was no longer detectable after adjusting for 2018 performance, before generative AI existed. AI use was unrelated to change from 2015 to 2018, but some measures were associated with declines from 2018 to 2022, during the pandemic, mainly in mathematics. The spread of country means, stable since 2015, narrowed by 7–9% from 2022 to 2025, as upper-middle performers lost and some low performers, which tend to use AI less, gained relative ground. These patterns suggest AI may have contributed to the recent decline.
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
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
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
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