🏷️ regulation

> **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…

2026-08-13 · policy, ethics, higher-ed, institutional-change, privacy

> **Synthesis:** This study analyzes AI policies across higher education institutions in 34 U.S. states, using NLP to uncover a clear divergence: university-level policies emphasize data security and …

2026-08-09 · ai-education, higher-ed, policy, institutional-change, ai-literacy

> **Academic integrity** — the ethical framework governing honest academic work in the age of AI. The wiki documents how the concept has been reframed by generative AI: from a problem of detecting dis…

2026-08-09 · assessment-validity, ai-literacy, plagiarism-detection, authentic-assessment, educational-policy-ai

> **Educational AI policy** — the formal and informal rules governing AI use in educational institutions, from national legislation to classroom guidelines. Policy research in the wiki spans instituti…

2026-08-09 · ai-governance-education, faculty-development, equity, higher-ed, k-12

> **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,…

2026-08-09 · equity, privacy, bias-mitigation, pedagogical-safety, academic-integrity

> **Pedagogical safety** — the design principle that AI education systems must protect learners from harm, including inappropriate content, unsafe advice, biased treatment, and manipulative interactio…

2026-08-09 · hallucination-risk, rag, k-12, ethics, ai-governance-education

> **Privacy** — the protection of student data, identity, and autonomy in AI-augmented learning environments. Privacy concerns intensify as AI systems collect increasingly granular behavioral data for…

2026-08-09 · learning-analytics, personalized-learning, k-12, ethics, equity

> **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…

2026-08-05 · learning-analytics, privacy, equity, ethics, higher-ed

A randomized experiment (n = 79 medical/nursing students) examining how the **initiative design** of an AI writing agent shapes reasoning, agency, and immediate independent performance. Students compl…

2026-08-03 · generative-ai, ai-literacy, writing-education, higher-ed, agentic-ai

A qualitative study of **16 undergraduates** at a Hong Kong teacher-education university who used **ChatGPT 3.5** to obtain feedback on IELTS writing tasks. Data came from unobtrusive screen-recorded …

2026-08-03 · generative-ai, feedback-loop, student-experience, higher-ed, ai-literacy

> **Authors:** Viola Deutscher, Herbert Thomann, Olga Zlatkin-Troitschanskaia, Ulrike Weyland, Stephan Abele, Amory H. Danek, Samuel Greiff, Andreas Rausch, Susan Seeber, Jürgen Seifried, Esther Winth…

2026-08-01 · professional-training, efficacy-study, intelligent-tutoring, generative-ai, adaptive-learning

> **Critical AI Tutors: Empower or Enslave?** — A position paper presented at the AIED 2025 workshop that issues a stark warning: unchecked use of AI tutors risks creating a generation of cognitively …

2026-07-29 · intelligent-tutoring, critical-thinking, over-reliance, ai-assistance-reduces-persistence, student-experience

> **SafeTutors** is a benchmark that jointly evaluates safety and pedagogy in AI tutoring systems across mathematics, physics, and chemistry. It argues that **tutoring safety is fundamentally differen…

2026-07-29 · pedagogical-safety, k-12, ai-tutoring, llm, scaffolding

This experience report introduces trio-ethnography — structured dialogue between two computing educators with differing teaching philosophies and one undergraduate CS student — as a method for surfaci…

2026-07-27 · generative-ai, stem-education, teacher-role, student-experience, higher-ed

A quasi-experimental, short-term longitudinal study with 126 first-year engineering students comparing two ways of teaching students how to learn with generative AI: an experiential, hands-on session …

2026-07-23 · generative-ai, higher-ed, efficacy-study, student-experience, scaffolding

Kamali et al. (2026) evaluate a Generative AI Literacy training intervention designed to improve intelligence analysts' ability to distinguish real photographs from AI-generated images. In a controlle…

2026-06-30 · ai-literacy, equity, generative-ai, higher-ed, professional-training

This study examines the [[student-modeling]] validity of **delayed start behavior** — when students begin assignments or practice sessions past a recommended start time — as a predictor of learning-ga…

2026-06-25 · learning-analytics, student-modeling, higher-ed, engagement-metrics, efficacy-study

As [[generative-ai]] disrupts [[higher-ed]], institutions increasingly require students to declare AI use. However, generic binary declarations (e.g., "I used GenAI") fail to capture the nuanced appli…

2026-06-12 · generative-ai, higher-ed, academic-integrity, policy-maker, ai-literacy

Bischof et al. investigate how students' awareness of [[generative-ai]] regulations relates to their perceived compliance and actual usage behavior in [[higher-ed]]. While previous research mainly exa…

2026-06-12 · generative-ai, higher-ed, student-experience, policy-maker, academic-integrity

**Ethical AI Use in Higher Education: A Coordination Game Framework** provides a formal mechanism-level account of why policy statements alone fail to change student AI-use behavior. Reframing student…

2026-05-28 · higher-ed, academic-integrity, generative-ai, policy-maker, automated-grading

This landmark study provides the **first large-scale behavioral and outcome evidence** that [[generative-ai]] has fundamentally altered how students study and what they retain. Using a ten-year panel …

2026-05-23 · generative-ai, over-reliance, stem-education, k-12, higher-ed

Theodora and Tselios (2026) provide a policy-oriented synthesis of AI's dual role in adult and [[lifelong-learning]] contexts — as both an enabler of personalized, scalable education and a source of s…

2026-05-21 · lifelong-learning, policy-maker, equity, intelligent-tutoring, ai-literacy

> Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs **Maiorano (2026)** — arXiv cs.CR/cs.AI.…

2026-05-15 · intelligent-tutoring, llm, generative-ai, hallucination-risk, student-experience

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…

2026-05-12 · ai-education, cs-education, ethics, faculty-development, teacher-ai-competency

> 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…

2026-05-09 · policy-maker, equity, k-12, teacher-role, ai-literacy

> 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…

2026-05-09 · higher-ed, equity, ai-literacy, policy-maker, equity-in-ai-education

> A large-scale survey (n=1,960) by EDUCAUSE (2026) examining how AI is reshaping work in higher education institutions — attitudes, adoption patterns, institutional strategies, risks, and opportuniti…

2026-05-09 · higher-ed, faculty-development, administrator, market-analysis, policy-maker

> A yearlong global "premortem" by the Brookings Center for Universal Education (2026) examining generative AI's risks and benefits for students. Based on 500+ interviews across 50 countries, 400+ stu…

2026-05-09 · policy-maker, k-12, student-experience, ai-literacy, llm

> 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…

2026-05-09 · teacher-role, k-12, policy-maker, faculty-development, equity-in-ai-education

> ECNUClaw is an open-source framework by Zhou, Li & Zhang (2026) for building **learner-profiled intelligent study companions** in K-12 education. The system maintains a **five-dimension learner prof…

2026-05-08 · k-12, personalized-learning, intelligent-tutoring, llm, student-experience

> **Synthesis:** Rather than replacing universities, generative AI **redefines their essential functions** — this paper proposes a four-level framework of institutional AI adoption and argues that the…

2026-05-08 · higher-ed, teacher-role, administrator, policy-maker, teacher-ai-competency

> Maier, Gunzenhäuser & Schweisthal (2026) conduct a **meta-analysis synthesizing evidence** on how generative AI tools affect both programming productivity and learning outcomes. This is a **confiden…

2026-05-06 · rct, efficacy-study, generative-ai, higher-ed, learning-gains