🏷️ equity
86 pages tagged with equity(66 articles, 20 concepts)
📄 GIFT-AI: Teaching the Game and Leveling the Field: Peer and AI Review + Reflection in a Business Writing Course
> **Synthesis:** MacArthur et al. (2025) present the GIFT-AI approach — "teaching the game and leveling the field" — applying the Peer and AI Review + Reflection (PAIRR) model specifically to an upper…
📄 Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
> **Synthesis:** Roy & Roy (2026) argue that the **infrastructure of AI** — training corpora, tokenization, benchmarks, deployment architectures — systematically disadvantages speakers of underreprese…
🏷️ Digital Divide
> **Digital divide** — the unequal distribution of access to, skills for, and benefits from digital (and increasingly AI) technologies across individuals, communities, and nations. In AI education, th…
📄 Perceptions and Acceptance of Artificial Intelligence in Science Education Programmes: Voices of Pre-Service Science Teachers
> **Synthesis:** This survey of 380 pre-service science teachers in Ghana, guided by UTAUT and the Theory of Planned Behaviour, finds generally positive perceptions of AI and strong intentions to use …
📄 Artificial Intelligence as Catalyst and Contested Terrain: Transforming Interior Design Practice, Pedagogy, and Professional Regulation in Malaysia
> **Synthesis:** This article examines how generative AI and intelligent visualization platforms are reshaping interior design practice in Malaysia, shifting designers from primary form-generators tow…
📄 Technology, Education and Critical Media Literacy: Potential, Challenges, and Opportunities
> **Synthesis:** Based on expert interviews and a survey of 141 university students in Communication and Education programs, this study finds that while technology offers real opportunities for teachi…
📄 "It is a temptation to get it to do the work…" Student Experiences of Navigating the Generative AI Landscape in UK Higher Education: A Cross-Institutional Survey with International Comparison
> **Synthesis:** The StudentXGenAI Project surveyed more than 7,000 students across 7 UK institutions (September–December 2025) on GenAI use in their studies, comparing findings with a companion Austr…
🏷️ Neurodiversity
> **Neurodiversity** — the framing that neurological differences such as autism, ADHD, dyslexia, and dyspraxia are natural variations in human cognition rather than deficits to be corrected. In educat…
2026-08-12 · special-education, accessible-learning, student-experience, inclusive-design, neurodiversity
🏷️ Universal Design for Learning
> **Universal Design for Learning (UDL)** — an educational framework that designs instruction to be accessible and effective for the widest range of learners by proactively building in flexible means …
📄 Artificial Intelligence in UK Higher Educational Policy and Institutional Decision Making
> **Synthesis:** This systematic literature review examines how AI is positioned in UK higher-education policy and its influence on institutional pedagogical decision making, finding that AI integrati…
📄 Generative AI in Higher Education: A Systematic Review of Opportunities, Challenges, and Pedagogical Innovations (2022–2025)
> **Synthesis:** This PRISMA-guided systematic review synthesizes 125 peer-reviewed studies (2022–2025) on generative AI in higher education, documenting exponential adoption (92% student usage by 202…
📄 AI literacy alone is not enough: Student AI readiness and career adaptability in business and management education
> **Synthesis:** Testa, Apuzzo, and Pittaway (2026) investigate how AI-related competencies contribute to career adaptability in business and management education. Surveying 339 university students in…
📄 Generative AI interactive textbook in electrotechnics: A four-year comparative study on student performance and inclusion
> **Synthesis:** This four-year comparative study presents results of implementing a Generative-AI Interactive Textbook built on GPT-4, integrated into an Electrical Engineering course. With a sample …
📄 LUDIA: A Design and Evidence Statement
> **Synthesis:** LUDIA is a no-cost, private, multilingual AI thought partner that connects educators with the Universal Design for Learning (UDL) framework. This statement describes the August 2026 r…
📄 The (im)possibility of AI literacy
> **Synthesis:** Pangrazio (2026) offers a critical editorial questioning whether AI literacy is a meaningful or even achievable goal. Tracing the history of literacy from its elite origins through ma…
📄 The Scaffolded AI literacy (SAIL) framework: Results of a Delphi study for equitable AI literacy framework design in education
> **Synthesis:** MacCallum, Parsons, and Mohaghegh (2026) report on a three-round Delphi study that created the Scaffolded AI Literacy (SAIL) framework — a broadly applicable, age-agnostic framework f…
📄 Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment
> **Synthesis:** In a [[rct|randomized controlled trial]] with 1,174 participants, Cruces et al. find that [[generative-ai|generative AI]] substantially narrows education-based productivity gaps, clos…
📄 School network reorganization under educational and spatial constraints using classical and quantum optimization
> **Synthesis:** This paper develops an optimization framework for school network reorganization that integrates geographic, administrative, and educational criteria into an Integer Linear Programming…
🏷️ Accessible Learning
> **Accessible Learning** — the design and delivery of educational experiences that accommodate diverse learner needs, spanning physical, cognitive, sensory, and situational differences. In AI in educ…
🏷️ Assessment Validity in AI Education
> **Assessment validity** — whether assessments measure what they claim to measure. AI in education raises fundamental validity questions: do AI-graded assessments assess student learning or AI prompt…
🏷️ Automated Grading
> **Automated grading** — AI systems that evaluate student work, from multiple-choice scoring to essay assessment and code review. Automated grading is one of the most mature and widely-deployed AI in…
🏷️ Collaborative Learning
> **Collaborative Learning** — instructional approaches where students work together to solve problems, complete tasks, or construct knowledge, supported or mediated by AI tools. In AI in education, c…
🏷️ Educational AI Policy
> **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…
🏷️ 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,…
🏷️ K-12 AI Education
> **K-12 AI education** — the use of artificial intelligence in primary and secondary education, spanning AI literacy curricula, AI tutoring, teacher support, and safety considerations unique to young…
🏷️ Language Learning
> **Language Learning** — the study of how AI supports second language (L2) acquisition, writing development, and linguistic diversity in educational settings. AI in education research in this wiki sp…
🏷️ Privacy in AI 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…
🏷️ 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…
🏷️ Special Education
> **Special Education** — the design and delivery of instruction for learners with disabilities, spanning cognitive, physical, sensory, and neurodevelopmental differences. AI in education research in …
🏷️ Student Experience with AI
> **Student experience with AI** — how learners perceive, interact with, and are affected by AI tools in educational settings. With over 85 articles in the wiki, student experience is one of the most-…
📄 Generative AI and the Productivity Divide: Human-AI Complementarities in Education
> **Synthesis:** Idan & Anand (2026) conduct an RCT showing that GenAI access significantly increases task performance on average — but the gains are highly uneven, NOT predicted by GPA or prior knowl…
📄 Artificial intelligence, cognitive offloading and implications for education
> **Synthesis:** Lodge & Loble (2026) provide a comprehensive report on the cognitive science behind AI use in education, arguing that the core risk of generative AI is not plagiarism but cognitive of…
📄 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…
📄 Access is Not Enough: Human Support Improves Engagement with AI Tutoring
> Robinson, Gormley, Ribeiro & Loeb (2026) ran two RCTs showing that AI tutoring's binding constraint is **take-up, not capability**: despite dedicated session time, nearly half of students never used…
📄 The agency gap in AI-supported writing: how reactive and proactive agent designs shape multimodal reasoning
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…
📄 Agreement Is Not Quality: Blind Expert Verification of Human and LLM Qualitative Coding When Human Consensus Is Not Ground Truth
> **Alex Liu, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He, Min Sun** — arXiv preprint (2026).…
📄 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 …
📄 Responsible Assessment in the AI Era: Key Insights from a Future-Focused Conference
> **Responsible assessment in the AI era** — assessment grounded in learners' sociocultural contexts and designed to generate valid, trustworthy, context-specific inferences from accumulated evidence,…
📄 Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative Discourse in Prompt Engineering Tasks
> **Deliang Wang, Cunling Bian** — AIED 2026 (accepted full paper).…
📄 AI Literacy: An Exercise in Power-Knowledge
Argues existing AI literacy frameworks, dominated by technical competency and responsible-use principles, enforce a consumer orientation toward AI rather than fostering genuine epistemic agency. Draws…
📄 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)…
📄 Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes
Structured scholarly dialogue among five sociolinguists examining how GenAI tools influence academic writing practices, reinforce or disrupt linguistic hierarchies, and impact the legitimacy of divers…
📄 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…
📄 Kutti AI: A Voice-First, Offline-Capable Learning Companion with Real-Time Struggle Detection for Visually-Impaired Children
Kutti AI addresses a persistent equity gap in educational technology: nearly all edtech assumes a visual interface, excluding an estimated 1.4 million blind children worldwide. The system inverts this…
2026-07-27 · adaptive-learning, intelligent-tutoring, special-education, k-12, personalized-learning
📄 Designing for What Cannot Be Seen: Supporting Embodied String Learning for Musicians with Blindness and Low-Vision
Bowed string performance depends on fine bodily coordination usually taught through visual demonstration, creating persistent barriers for musicians with blindness and low-vision (BLV). This design st…
📄 A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data
**Akriti Bagale, Nafisa Mehjabin, Ali Unlu, Aditya Johri, et al. (2026)** - George Mason University; University of Virginia. arXiv preprint. Bagale, A., Mehjabin, N., Unlu, A., Johri, A., et al. (2026…
📄 A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing Education
> **Synthesis:** A comparative content analysis of institutional GenAI policies and computing-course syllabi in U.S. research-intensive universities, revealing a gap between broadly pro-use institutio…
📄 Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Analysis
Across 15 nations, the paper examines how secondary computer-science education embeds AI literacy into general-track subjects (Digital Literacy, ICT, TIC, SNT) rather than specialized tracks, creating…
📄 Learning behavior accounts for background-related advantage in AI-assisted education
Investigates why AI-for-education shows inconsistent average effects, arguing that learning behavior explains background-related advantage: students from advantaged backgrounds engage with AI tools in…
📄 The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated History Education for Marginalized Romanian Students
A systematic API audit of four LLMs acting as history tutors evaluates 1,800 responses about the 1989 Romanian Revolution, exposing a 'paternalistic filter': models differentially refuse or soften ans…
🏷️ Bias Mitigation
> **Bias mitigation** in educational AI requires auditing models across the pipeline: [[gender-bias-transfer-llm-writing]], [[ai-scoring-language-bias-physics]], [[llm-cultural-relevance-k12]], and [[…
📄 Child Safety in Generative AI: An Expert-Guided and Incident-Grounded Evaluation Framework
> **Haein Kong** — HEAL Workshop at CHI 2026, submitted 1 Jul 2026…
📄 ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education
> **Lorenzo Stacchio, Michele Giordano, Daniele Berardini, Primo Zingaretti, Emanuele Frontoni** — submitted 17 Jun 2026…
📄 Touching and Feeling the Data: A Reusable Software Pipeline for Tactile Statistical Graphs in Accessible Education
> **Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Jessica M. Johnson, Erika Frydenlund, Vikas Ashok, Sachin Shetty, Sampath Jayarathna** — IEEE IRI 2026, submitted 1 Jul 2026…
📄 Generative AI Literacy Training Improves Intelligence Analysts’ Discrimination of Real and AI-Generated Images
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…
📄 DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
DysLexLens is a low-resource LLM framework designed to analyze how [[special-education|dyslexic learners]] experience AI tools by mining online forum discussions. The framework employs dictionary-driv…
📄 Co-Designing Community-Centered AI Education for Adults: A Midwestern Case Study
📄 [PDF](https://arxiv.org/pdf/2606.26565) This case study reports on a community-based participatory research project that co-designed an [[ai-literacy|AI literacy]] program for 54 adults (48 in-pers…
2026-06-26 · ai-literacy, lifelong-learning, student-experience, edtech-platform, faculty-development
📄 AI as a Partner in Learning about, Doing, and Engaging with Science: Vigilance as the Key to Productive Augmentation
Argues that epistemic vigilance — the human evaluation of AI output calibrated to how far a fallible source can be trusted — is the binding constraint on productive augmentation. AI's fluent, confiden…
📄 The Missing Layer: Why EdTech Needs Design-Time Generative UI, Not Just Runtime Personalization
> Argues the dominant paradigm of runtime GenUI adaptation in EdTech is insufficient. Proposes design-time card-based GenUI where educational content is encoded as modality-agnostic semantic units and…
📄 Gender Differences in AI Literacy Workshop Outcomes and Deepfake Engagement
> Examines gender differences in AI literacy, safety awareness, and STEM career aspirations among Australian secondary students (Years 7, 8, 10; N=199) from two co-educational government schools after…
📄 Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group Learning
**Ravi, Stevens, Hurt, Hanks, Lin & Anderson (2026)**. Ravi et al. investigate how the voice accent of a [[generative-ai]] conversational peer agent shapes learners' perceptions, trust, and interactio…
📄 Culturally-Aware AI for Cross-Boundary Community Learning
Reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions for cultural heritage preservation and sustainable development. The paper argues that AIED …
📄 Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
**Agentic Literacy Debt** names a critical gap in the [[ai-literacy]] landscape that has become urgent with the rise of autonomous AI agents. Existing AI literacy frameworks assume humans evaluate AI …
📄 Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills?
**Post-COVID ICT Career Aspirations** uses PISA 2018 and 2022 country-level data to investigate whether students entering the generative AI era have adequate educational foundations. Using a mixed-met…
📄 Generative AI and the marginalization of minoritized knowledges in higher education: the case of disability
This paper argues that [[generative-ai]] systems in [[higher-ed]] are not epistemically neutral — they actively marginalize non-hegemonic ways of knowing. Drawing on educational sciences, critical tec…
📄 The Illusion of Competence: Self-Perceived Digital Literacy and AI Readiness Among European Secondary Students
This multicenter study (N=243 European secondary students) systematically challenges the 'Digital Native' paradigm by demonstrating a severe confidence-competence gap in digital and AI literacy. Stude…
📄 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…
📄 How AI Is Changing Teaching Workflows
📄 [Full article](https://edtechinsiders.substack.com/p/how-ai-is-changing-teaching-workflows) AI saves teachers roughly 30% of lesson preparation time with no measurable quality loss — but whether th…
📄 Artificial Intelligence in Lifelong Learning: Opportunities and Challenges in Adult Education Policy
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…
📄 Gen-AI-tecture: using generative AI to support architectural students in design tasks
Kapsalis (2026) presents one of the first empirical studies of generative AI integration in architectural design education, using a locally executed, discipline-specific tool within a mixed-methods fo…
📄 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…
📄 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.…
📄 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…
📄 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…
📄 AI-Generated Lesson Plans in Civic Education
> An analysis of 310 AI-generated lesson plans (2,230 individual activities) produced by ChatGPT (GPT-4o), Gemini (1.5 Flash), and Copilot (GPT-4 based) for all 53 Massachusetts eighth-grade civics st…
📄 LLMs for Culturally Relevant K-12 Pedagogy
> Explores LLMs to support K-12 teachers in designing culturally relevant pedagogy. An exploratory pilot with four K-12 teachers found the CulturAIEd tool enhanced teachers' confidence in identifying …
🏷️ Culturally Relevant Pedagogy
Culturally Relevant Pedagogy (CRP), introduced by Gloria Ladson-Billings (1995), centers marginalized students' cultural references in curriculum design. Wang et al. (2025) demonstrate that **LLMs can…
🏷️ Equity in AI Education
Equity in AI Education addresses systemic disparities in access to, representation within, and benefits from AI educational tools. Three critical dimensions emerge: Wang et al. (2025) found that **78%…
🏷️ K-12 AI Education
K-12 AI Education encompasses the integration of artificial intelligence literacy, tools, and pedagogical approaches into primary and secondary education. Recent research reveals three critical pillar…
🏷️ Teacher AI Competency
Teacher AI competency encompasses the knowledge, skills, and dispositions required for effective AI integration in educational contexts. Emerging frameworks identify three competency dimensions: Zhang…
📄 Multimodal AI Tutoring in STEM
> When LLMs process STEM problems that require interpreting diagrams, graphs, or schematics alongside text, their accuracy degrades substantially. This effect is: > General-purpose LLMs achieve near-c…
📄 Robotics and Artificial Intelligence in Education: Transformations, Challenges, and Future Directions
> **Synthesis:** White & Wu (2026) critically examine the integration of AI and robotics into education, arguing that while transformative potential exists at all levels, effective integration require…