🏷️ privacy
17 pages tagged with privacy(13 articles, 4 concepts)
📄 Knowledge-Based Design Requirements for Generative Social Robots in Higher Education
> **Synthesis:** Vonschallen, Oberle, Schmiedel, and Eyssel (2026) adopt a knowledge-based design perspective to investigate what information tutoring-oriented generative social robots (GSRs) require …
🏷️ AI Governance
> **AI governance** — the frameworks, policies, institutional structures, and norms that guide the responsible design, deployment, and use of artificial intelligence in education. Governance spans for…
📄 Hybrid intelligence feedback systems in design thinking development: Stage-specific insights on pedagogical effects and characteristics of generative AI and instructors
> **Synthesis:** This study compares the pedagogical effects on students' design thinking and students' perceptions of feedback systems by GenAI and human instructors. A within-class randomized experi…
📄 New systems of learning for distance learning institutions? A six-study review of implementing AIDA
> **Synthesis:** Rienties et al. (2026) examine how the Open University (UK) — a large-scale distance learning institution teaching 200K+ learners across 50+ countries — designed, implemented, and eva…
📄 Students' engagement with generative AI in academic learning: A self-determination theory and epistemic network analysis study
> **Synthesis:** Isaeva et al. (2026) examine undergraduate students' engagement with generative AI (GenAI) in academic learning at an English-medium university, using self-determination theory (SDT) …
2026-08-10 · generative-ai, student-experience, self-regulated-learning, ai-literacy, academic-integrity
🏷️ Ethics in AI Education
> **Ethics** — the moral principles governing the design, deployment, and use of AI in educational contexts. AI education ethics spans data privacy, algorithmic fairness, transparency, accountability,…
🏷️ Learning Analytics
> **Learning analytics** — the measurement, collection, analysis, and reporting of data about learners and their contexts for the purpose of understanding and optimizing learning. AI has transformed l…
🏷️ AI Regulation in Education
> **AI regulation** — the laws, policies, and governance frameworks that control how AI is developed and deployed in educational settings. Regulation in the wiki spans government policy, institutional…
📄 Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition
> **Synthesis:** Pilot study on privacy-aware computer vision for classroom incident detection. Introduces a hybrid benchmark combining generative CCTV-style videos with real classroom pose data. Prop…
📄 When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills
> **When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills** — Introduces AntiSkillBench with 7,500 persona-grounded dialogue traces from 50 beha…
📄 Behaviorally Adaptive Visual Diversion for Inclusive and Resilient Digital Assessment Delivery
> **Behaviorally Adaptive Visual Diversion for Inclusive and Resilient Digital Assessment Delivery** — Proposes BAVD, a theoretical framework for adaptive visual diversion in digital assessment that r…
📄 Beyond Compliance: A Proposed Framework for Ethical Governance of Student Data in Learning Analytics
> **Beyond Compliance: A Proposed Framework for Ethical Governance of Student Data in Learning Analytics** — Proposes LEAGUE framework (Lawfulness, Equity, Agency, Governance, Utility, Ethics by Desig…
📄 CSTutorBench: Benchmarking Small Language Models as Tutors for Block-Based Programming
Deploying LLM tutors in K-12 raises concerns around privacy, cost, and reliance on proprietary models, motivating small language models (SLMs) as an alternative. The authors introduce **CSTutorBench**…
📄 Child Safety in Generative AI: An Expert-Guided and Incident-Grounded Evaluation Framework
> **Haein Kong** — HEAL Workshop at CHI 2026, submitted 1 Jul 2026…
📄 The Environmental Cost of LLMs in AIED: Reporting and Practices
> **Sabrina C. Eimler, Lukas Erle, Daniel Flood, Aditi Haiman, Luca Häckert, André Helgert, Lachlan McGinness, Büsra Yapici**…
📄 Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education
> **Synthesis:** Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education…
📄 Explainable Artificial Intelligence in Education (XAI-ED)
📄 DOI: 10.1016/j.caeai.2022.100074 This paper introduces **XAI-ED**, a framework for explainable AI that is purpose-built for education. It argues that while XAI in education shares common ground wit…