Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This repository provides the de-identified replication dataset, instruments, and the frozen prompt-scaffolding package for the study: "Preventing Cognitive Offloading in Generative AI: Scaffolding Complex Design Reasoning for Transfer Beyond AI Assistance" Authors:** Rui Chen, Junqing Hao, Wei Zong* - Affiliation: School of Architecture and Design, China University of Mining and Technology - Package Contents 1. De-Identified Trial Dataset:** Baseline demographics, blinded BARS scores for Task A & Task B, inter-rater reliability (ICC), and questionnaire scales (N = 64). 2. Frozen LLM Skill Package (`v1.1-frozen`): Executable prompt specifications, progression gates (0–12), and the H0–H6 help hierarchy with archived SHA-256 digests. 3. Research Instruments & Rubrics: English versions of Task A/B briefs, parallel FBS knowledge tests (Forms X & Y), and scoring rubrics. All data are de-identified for peer review, scientific auditability, and replication.
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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