Sep 2026· Language Testing in Asia· Vol 16· 0 citations· 44 references
Abstract
The rapid proliferation of Generative Artificial Intelligence (GenAI) has destabilized foundational assumptions in second language writing assessment. The dominant scholarly response—concentrating on detection, psychometric validity, and pedagogical integration—has systematically overlooked the subjective, affective, and moral experience of learners themselves. This study addresses that gap by investigating the lived experience of Iranian EFL university students navigating high-stakes academic writing assessment in a context where GenAI tools are widely available yet institutionally unregulated. Employing Interpretive Phenomenological Analysis (IPA) guided by person-centered theory and Self-Determination Theory, semi-structured interviews were conducted in Persian with purposively selected undergraduate students at a public Iranian university. Findings revealed three superordinate themes: a structural double-bind wherein the assessment system simultaneously demands flawless independent writing and incentivizes the use of tools it condemns; a fractured self-experience marked by diminished authorship, the isolating weight of secrecy, and an oscillation between relief from writing anxiety and shame at felt inauthenticity; and the construction of personal moral geographies through which students navigate ethical ambiguity in the absence of institutional guidance. The findings demonstrate that current assessment arrangements generate systemic incongruence and thwart the basic psychological needs for autonomy, competence, and relatedness. Drawing on these findings, the study proposes three principles for human-centered assessment design—transparency, integration, and relationality—as a contextually grounded contribution to ongoing discussions about reconciling the demands of accountability with the imperative to support learner well-being in GenAI-mediated assessment environments.
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
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 1, 2026
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.