Oct 2026· Digital Scholarship - UNLV (University of Nevada Reno)
Artificial Intelligence in Education
Abstract
What do well-informed students say about the use and integration of AI in their college educations? In Spring and Summer 2026 semesters, students in three sections of ENG 102 at UNR wrote AI-aware white papers with policy recommendations for the integration of genAI into higher education. To develop white paper policies, students read a variety of scholarly, public, and popular sources that show a variety of perspectives on Generative AI and LLMs, including the environmental and cognitive impacts. Then they considered the values and concerns of their audiences—peers, professors, and/or university administrators—to propose “sensible, well-informed, and well-reasoned” policies. This session will discuss their recommendations, insights, and the somewhat surprising classroom experience of teaching sustained, critical enquiry about 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.
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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