🏷️ academic-integrity

> **Synthesis:** This conceptual paper proposes adding *production* — the capability to deliver professional-standard work by directing tools and other people — as a fourth attribute of competency-bas…

2026-08-12 · assessment, assessment-validity, generative-ai, higher-ed, automated-assessment

> **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…

2026-08-12 · student-experience, higher-ed, generative-ai, equity, ethics

> **Synthesis:** This theoretical paper names a state it calls *metacognitively discordant completion* (MDC): a learner submits correct, complete work while holding a first-person awareness that under…

2026-08-12 · metacognition, self-regulated-learning, cognitive-offloading, over-reliance, student-experience

> **AI misuse and learning harm** — the causal relationship between students offloading cognitive work to generative AI and reduced durable learning, even when immediate task performance rises. The de…

2026-08-12 · over-reliance, cognitive-offloading, assessment, self-regulated-learning, motivation

> **Reducing AI misuse** — the design, pedagogical, and policy levers that prevent students from substituting generative AI for their own cognitive work and instead steer them toward ethical, producti…

2026-08-12 · ai-literacy, assessment, scaffolding, self-regulated-learning, metacognition

> **Student misconceptions about AI** — the inaccurate beliefs students hold about what AI systems are, what they do, and what using them means for learning, especially in academic contexts. Misconcep…

2026-08-12 · ai-literacy, trust-calibration, metacognition, over-reliance, cognitive-offloading

> **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…

2026-08-11 · generative-ai, higher-ed, systematic-review, assessment, personalized-learning

> **Synthesis:** This conceptual preprint develops the Prompt-Context-Harness-Loop Framework for Higher Education (PCHL-HE), a pedagogically grounded vocabulary that differentiates four increasingly c…

2026-08-11 · generative-ai, agentic-ai, prompt-engineering, higher-ed, instructional-design

> **Synthesis:** This paper addresses concerns that students use GenAI to submit texts they do not understand, adopting an assessment validity lens. It proposes Coauthorship Integrity as a new concept…

2026-08-10 · generative-ai, assessment, conversational-agents, assessment-validity, ai-education

> **Synthesis:** This qualitative case study examines undergraduate students' engagement with GenAI in academic learning using self-determination theory and epistemic network analysis. Data from 23 se…

2026-08-10 · generative-ai, assessment, higher-ed, engagement-metrics, creativity

> **Synthesis:** This experience report describes the redesign of an introductory AI course at the University of Washington Bothell in response to LLMs being able to complete most assignments. The red…

2026-08-10 · ai-literacy, higher-ed, course-redesign, assessment, generative-ai

> **Synthesis:** EchoPrompt introduces a training-free zero-shot detector for [[plagiarism-detection|LLM-generated text]] that exploits the latent prompt dependency inherent in machine-generated conte…

2026-08-09 · ai-detection, llm, generative-ai, plagiarism-detection, evaluation

> **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…

2026-08-09 · authentic-assessment, automated-grading, confidence-aware-ai-assessment, formative-assessment, rct

> **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 · regulation, ai-governance-education, faculty-development, equity, higher-ed

> **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, regulation, pedagogical-safety

> **AI in Higher Education** — the integration of artificial intelligence into university teaching, learning, assessment, and administration. Higher education is the most-studied context in the wiki, …

2026-08-09 · higher-ed, ai-education, generative-ai, faculty-development, student-experience

> **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…

2026-08-09 · educational-policy-ai, ai-governance-education, ethics, privacy, pedagogical-safety

> **AI in Writing Education** — the use of AI tools for writing instruction, assessment, and feedback. Writing education is one of the most AI-affected domains, as LLMs excel at text generation, revis…

2026-08-09 · automated-essay-scoring, ai-feedback-quality, cognitive-offloading, ai-literacy, language-learning

> **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…

2026-08-05 · assessment, accessible-learning, privacy, equity, adaptive-learning

> Generative AI has not created the need for authentic assessment — it has made weaknesses in assessment design harder to ignore. Polished products can now be generated or substantially mediated by to…

2026-08-03 · authentic-assessment, assessment, assessment-validity, ai-ed-evaluation, generative-ai

> Detection-led responses face well-documented limits: validity and fairness failures (bias against non-native writers), notable error rates, erosion of trust, and distraction from assessment design. …

2026-08-03 · authentic-assessment, ai-detection, assessment, generative-ai, higher-ed

Describes rapid development of a Thonny log visualizer using AI-assisted 'vibe coding' to make student programming processes visible to teachers. Piloted in a 160-student introductory programming cour…

2026-07-30 · stem-education, higher-ed, teacher-role, learning-analytics, edtech-platform

As students increasingly use [[llm]]s to draft written responses and program code, this study asks whether LLMs can reliably detect their own generated content across educational task types — programm…

2026-07-24 · ai-detection, llm, higher-ed, plagiarism-detection

This survey of design students at the Politecnico di Milano (2025/2026), paired with AI-use journals kept during research assignments, examines how [[generative-ai]] enters the design process. Reporte…

2026-07-22 · generative-ai, higher-ed, student-experience, ai-literacy, writing-education

> **Jennifer M. Krebsbach & Victoria L. Cross (University of California, Davis)** — *Assessment & Evaluation in Higher Education* (Taylor & Francis). Open Access, CC BY 4.0. doi:10.1080/02602938.2026.…

2026-07-19 · generative-ai, higher-ed, authentic-assessment, over-reliance, ai-literacy

As generative AI (GenAI) becomes embedded in undergraduate academic writing, *how* students rely on these tools — not merely whether they use them — has emerged as a core question for [[academic-integ…

2026-07-17 · generative-ai, higher-ed, student-experience, writing-education, over-reliance

**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…

2026-07-15 · ai-literacy, equity, policy-maker, higher-ed, ai-governance-education

Uses epistemic network analysis of multimodal YouTube metadata (transcripts, titles, thumbnails, comments) to show how different creator groups frame ChatGPT use in education, revealing divergent narr…

2026-07-10 · ai-literacy, student-experience, higher-ed, generative-ai, self-regulated-learning

> **Margaret Ellis, Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Mohammed Farghally, Jake O'Brien, Naren Ramakrishnan** — SIGCSE Virtual 2026, submitted 29 Jun 2026…

2026-07-02 · llm, higher-ed, student-experience, stem-education, llm-in-education

**Tran, Harper & Price (2026)** examine a pressing motivational paradox in contemporary computing education: the ready availability of AI tools that can complete programming assignments undermines stu…

2026-06-30 · higher-ed, llm, over-reliance, student-experience, ai-assistance-reduces-persistence

📄 [PDF](https://arxiv.org/pdf/2606.26729) This study examines the implementation of the Artificial Intelligence Assessment Scale (AIAS), a structured framework for redesigning [[assessment|university…

2026-06-26 · higher-ed, assessment, generative-ai, teacher-role, policy-maker

Computing students show inconsistencies between confidence in cybersecurity knowledge and actual safe practices; educational interventions are needed to close the gap. Confident yet Concerned: Inconsi…

2026-06-18 · higher-ed, student-experience, ai-literacy, engagement-metrics

> An interview study with 19 computing students through a functionalist perspective of shame and guilt. Findings show these emotions regulate when and how students make their AI use visible, engaging …

2026-06-16 · student-experience, higher-ed, over-reliance, hallucination-risk, learning-analytics

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, policy-maker, ai-literacy, genai-policy-prompting-rct

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, regulation

Addresses a critical tension in [[stem-education|CS education]]: the widespread adoption of generative AI makes it impossible to distinguish authentic student effort from AI code synthesis by evaluati…

2026-06-09 · edtech-platform, stem-education, higher-ed, formative-assessment, scaffolding

Generative AI challenges academic integrity not only by enabling students to delegate substantial portions of their academic work, but also by blurring the ethical boundaries by which students disting…

2026-05-29 · llm, student-experience, higher-ed, writing-education, ai-literacy

Technologies and methods for detecting AI-generated content in academic submissions, including classifier-based approaches, watermarking, and stylistic analysis. The effectiveness and reliability of t…

2026-05-29 · ai-detection, higher-ed, generative-ai, student-experience, ai-literacy

**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, generative-ai, policy-maker, regulation, automated-grading

Oral code reviews paired with a flipped classroom represent a pragmatic harm-reduction approach to generative AI in CS education. Rather than banning LLMs, Fowles et al. (2026) designed weekly formati…

2026-05-21 · generative-ai, higher-ed, cs-education, over-reliance, formative-assessment

This paper uses a clever identification strategy: measure the **seasonal drop in ChatGPT activity during non-school summer months** (2023 and 2024). Areas with larger summer dropoffs have heavier scho…

2026-05-14 · generative-ai, k-12, over-reliance, efficacy-study, k-12-ai-education

This book chapter presents a **text mining analysis** of how scholarly literature frames ChatGPT's role in programming education. Using term frequency analysis, phrase pattern extraction, and topic mo…

2026-05-13 · over-reliance, hallucination-risk, stem-education, feedback-loop, student-experience

> Three system properties enable the fallacy via two cognitive mediators: > The LLM fallacy is a **cognitive attribution error** in which users misinterpret LLM-assisted outputs as evidence of their o…

2026-05-07 · metacognition, over-reliance, llm, k-12, higher-ed

> **AI literacy** — the knowledge, skills, and critical dispositions needed to understand, evaluate, and effectively use AI technologies in educational contexts. AI literacy spans foundational underst…

2026-05-07 · ai-literacy, higher-ed, k-12, generative-ai, llm

> **Synthesis:** Sangwa, Ndahayo & Dusengumuremyi (2026) develop the EPIQ-AI Readiness Framework synthesizing data from 2020-2025 to explain how institutions can align faculty capacity, governance, an…

2026-04-02 · faculty-development, ai-literacy, higher-ed, teacher-ai-competency, institutional-change-framework-ai