🏷️ equity-in-ai-education
14 pages tagged with equity-in-ai-education(14 articles, 0 concepts)
📄 The care-full craft of feedback in an age of generative AI
A conceptual/position paper arguing that feedback in an age of GenAI must be understood as **"matters of care"** — ethical, relational practices rather than information transmission. It builds on a te…
📄 Feedback futures: beyond the limits of human and GenAI capacities
This editorial synthesises the seven papers of the AEHE 51(5) special issue on feedback in the age of generative AI. Its central claim: the question is **not whether GenAI feedback is useful, but how …
📄 AI-based scoring systematically underestimates conceptual understanding of linguistically weak students' explanations in physics
> **Authors:** Markus S. Feser, Paul L. Tschisgale (Leibniz Institute for Science and Mathematics Education, Kiel, Germany)…
📄 Auditing Institutional Heterogeneity for Generative AI in Patient Education: A Large-Scale Study of 102 US Transplant Handbooks
Li, Padman and Krishnan audit 102 US transplant-center patient handbooks that serve as grounding corpora for generative AI patient-education assistants. They show large institutional heterogeneity in …
📄 Why SuaCode?": Understanding African Students' Motivations for Taking a Smartphone-Based Online Coding Course
Addo, Munagah, Kumbol, Uchidiuno and Boateng study why African students enroll in SuaCode, a smartphone-based online coding course (from the team behind the Kwame AI teaching assistant) addressing the…
📄 I can't read your mind": A Study of Neurodivergent Computing Students' Experiences with Collaborative Active Learning
This study surveyed 24 neurodivergent computing students (autistic and/or ADHD) and 20 neurotypical peers, supplemented by 4 in-depth interviews, to understand how collaborative active learning struct…
📄 Understanding How International Students in the U.S. Are Using Conversational AI to Support Cross-Cultural Adaptation
> Understanding How International Students in the U.S. Are Using Conversational AI to Support Cross-Cultural Adaptation **Nourian et al. (2026)** — Multiple institutions. arXiv cs.HC.…
📄 Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs
In a large-scale quasi-experiment with 635 students (grades 5-8), hybrid human-AI tutoring produced substantial gains over AI-only tutoring: +25% time on task, +36% skill proficiency, and +61% standar…
📄 Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety
Using an expert-designed children's reading curriculum and stories generated by GPT-4o and Llama 3.3 70B as training data, the authors fine-tuned three different 8B-parameter LLMs. **The fine-tuned 8B…
📄 Preparing Students for AI-Powered Materials Discovery: A Workflow-Aligned Framework for AI Literacy, Equity, and Scientific Judgment
This paper presents a workflow-aligned framework for preparing students to use AI in materials discovery. The authors argue that in materials science, the limiting factor is no longer only algorithmic…
📄 Cost-of-Ethics Crisis: Beliefs, Decisions, and Justifications in the Job Searches of Computer Science Students in Canada and the United States
This study examines the disconnect between **ethics education** and real-world decision-making among 129 computer science students and recent graduates during their job searches. Despite receiving con…
📄 What AI in Education Needs Next: Lessons from Youth Leaders Across Five Countries
> A global perspective on AI in education readiness, framed around the insight that the real bottleneck is human and institutional capacity, not technical access. Based on a WEF (2026) synthesis of yo…
📄 Higher Education Must Bridge the AI Gap
> A Science editorial by University of Illinois Chicago Chancellor Marie Lynn Miranda (April 2026) arguing that higher education has a narrow window to shape AI's distribution equitably. Proposes a th…
📄 How State Policy Can Help Teachers Use AI Well
> A NASBE/CRPE policy analysis (May 2026) examining how US states can shape conditions for effective teacher AI adoption — setting guardrails, providing resources, and building capacity without microm…