Oct 2026· Postdigital Science and Education· 33 references
Digital Education and Society
Abstract
Abstract This paper examines upper secondary students’ writing with Generative Artificial Intelligence (GenAI) through a post-structural lens. The aim is to explore how authorship can be understood and described in the age of AI. The empirical material consists of three students’ recorded writing sessions and complementary interviews. Through rhizomatic mapping, the recordings are analyzed with Deleuze and Guattari’s notions of assemblage, affect and becoming, further extended through the concept of distributed authorship. The analyses map three dynamic assemblages in which writing and authorship are redistributed across heterogeneous relations. One assemblage foregrounds AI as the primary authorial agent; another enacts reciprocal human-AI co-writing; and a third positions AI as a threat to writing, creativity, and the climate. Writing with GenAI unfolds as a complex relational practice and authorship emerges as distributed between humans and non-humans. This study raises important questions for education to consider in writing instruction and in developing policies for writing with AI, such as questions of equity and ethics.
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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