Introduction Hate speech directed against the Mapuche people, historically perpetuated through the media's mechanisms of racialisation, has found a powerful platform for amplification on social media. This article analyses how trainee how history teachers conceptualise this phenomenon from a pedagogical perspective and what analytical and pedagogical strategies they employ to address it in the classroom. Methods A qualitative-interpretative approach was adopted, using an integrated case study design, in which each of the 22 written responses from trainee history teachers at a university in southern Chile constituted a unit of analysis. Participants were selected through purposive sampling from an intact cohort, and their consent was obtained once the coursework had been marked. The analysis combined deductive and inductive coding, carried out independently by two researchers, with discrepancies resolved through discussion and, where necessary, through the arbitration of a third party. Results The participants broadly recognise the descriptive components of hate speech – stigmatisation, generalisation, dehumanisation and the association between Mapuche demands and al violence – but make little reference to the frameworks of structural racism, coloniality and racialisation, and only marginally to Mapuche knowledge and studies; furthermore, a technical-instrumental conception of digital citizenship predominates. Two exploratory findings emerged from the inductive phase: the spontaneous the appearance of the expression `thieving Indians' in five responses, indicating that the phrase is culturally recognisable to the participants, although there is no evidence of its circulation within their social circles; and the reported use of generative artificial intelligence in six responses, which was examined without any controlled comparison and is therefore regarded as hypothesis-generating. Discussion The implications for initial teacher training are analysed, in particular the interaction between critical media literacy, a decolonial perspective and the development of professional judgement in digital environments, as well as the educational tensions associated with the use of generative AI.
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.
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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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