Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning Training
As Artificial Intelligence (AI) and Agentic AI become increasingly integrated across sectors such as education and healthcare, it is critical to ensure that Multi-Agent Education System (MAES) is explainable from the early stages of requirements engineering (RE) within the AI software development lifecycle. Explainability is essential to build trust, promote transparency, and enable effective human-AI collaboration. Although personas are well-established in human-computer interaction to represen
Record details
Published: 19 April 2026
Source: arXiv
Category: Research
Topics: Healthcare · Children & education · Agents & autonomy · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (19 April 2026), “Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning Training,” evidence record 5681, https://ethics.ai/record/5681 (originally published by arXiv).
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