AI in Education WeeklyA weekly read on AI arriving in education

Issue 2026-W34

Covers：2026-08-17 – 2026-08-23

Collected weekly from a hand-picked source list. Original headlines and official links are always kept. Chinese summaries are machine-generated and exist only to help you decide what to open.

AI in education, this week

Newest first

55 matching stories

ChatGPT for Education Newsletter · First-party · Global

Practice Before the Stakes Are Real

Source summaryHow three educators give students a safer place to rehearse medicine, conflict, and counseling before another person is counting on them.

  • Tools and products
  • Teaching practice

Khan Academy Blog · First-party · Global

Free Khan Academy Classroom Activities for Back to School

Source summaryReady, Set, Explore: Free Khan Academy Classroom Activities The first few days with a new classroom tool can ... Read more The post Free Khan Academy Classroom Activities for Back to School appeared first on Khan Academy Blog.

  • K-12
  • Teaching practice
  • Tools and products

Khan Academy Blog · First-party · Global

Smart Screens, Healthy Kids: A Framework for Edtech in Early Elementary

Source summaryBy the second week of school, you’ve probably fielded the screen time question more than once. “Why is ... Read more The post Smart Screens, Healthy Kids: A Framework for Edtech in Early Elementary appeared first on Khan Academy Blog.

  • K-12
  • Teaching practice
  • Tools and products

Google for Education — Learning & Education blog · First-party · Global

5 new ways to level up your learning with Search

Source summaryHere’s how you can use Google Search tools to study for classes and standardized tests.

  • Research

Google for Education — Learning & Education blog · First-party · Global

Back to School 2026

Source summaryHow Google tools can help students and educators this back-to-school season.

  • K-12

Google for Education — Learning & Education blog · First-party · Global

Start the semester with one year of Gemini, on us

Source summaryCollege students around the world can claim 12 months of a Google AI plan, free of charge.

  • Higher education

Microsoft Education Blog · First-party · Global

Built for the complexity of education: AI that understands your institution

Source summarySee how connected context, governance, and AI agents can help institutions support educators, students, and staff. The post Built for the complexity of education: AI that understands your institution appeared first on Microsoft Education Blog.

  • Tools and products
  • Teaching practice

Khan Academy Blog · First-party · Global

Teach AP Physics C: Mechanics with a New, Free Course

Source summaryPhysics teachers, this one has been a long time coming! Khan Academy’s free AP Physics C: Mechanics course ... Read more The post Teach AP Physics C: Mechanics with a New, Free Course appeared first on Khan Academy Blog.

  • Higher education
  • Teaching practice
  • Tools and products

arXiv — Computers and Society (cs.CY) · Research · Global

Advancing Health Equity through Multi-Level Fairness in Health Informatics

Source summaryarXiv:2608.16902v1 Announce Type: new Abstract: The increasing integration of machine learning in healthcare has highlighted critical challenges related to fairness, transparency, and health equity. Specifically, the use of multi-level fairness techniques, which combine multiple bias mitigation steps or techniques, show promise for reducing biases across different patient demographics, yet this…

  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

AI, Brain Death Detection, and Islamic Law

Source summaryarXiv:2608.16903v1 Announce Type: new Abstract: The deployment of machine learning systems capable of detecting covert consciousness in neurologically injured patients creates a profound challenge at the intersection of clinical medicine, AI ethics, and Islamic jurisprudence. We argue that the shift from binary clinical verdicts to probabilistic, temporally granular neural-state estimates should…

  • Policy
  • Research
  • Academic integrity

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Analysis of Types of Inquiries in Student-AI Interaction: A case study of two CS2 tasks

Source summaryarXiv:2608.17919v1 Announce Type: new Abstract: Background and Context: Question and inquiry are integral parts of knowledge seeking and learning. Despite their importance, students tend not to ask enough questions in the classroom. However, studies have shown that students interact extensively with generative AI systems for learning and problem solving. Objective: In this paper, we seek to…

  • Higher education
  • Tools and products
  • Teaching practice

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Experiential Learning of Runtime Monitoring Using Pachinko

Source summaryarXiv:2608.16898v1 Announce Type: cross Abstract: We present documentation of a classroom assignment that teaches runtime monitoring through a creative embedded systems build: an interactive Pachinko game. The assignment centers on a dual-core ESP32 workflow in which students write RTLola specifications for monitors, compile these monitors to C, and deploy them alongside sensor and actuator…

  • Higher education
  • Teaching practice

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

From Substitution to Scaffolding: Breaking the Self-Reinforcing Harm Cycle of AI in Education (and Beyond)

Source summaryarXiv:2608.17451v1 Announce Type: new Abstract: Artificial intelligence is being adopted in educational settings faster than its consequences are understood. We argue that the central risk is misalignment: AI that eliminates human effort erodes the very capacities education is meant to build. We organize this risk into an integrative framework of four interrelated dimensions -cognition, agency,…

  • Policy
  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Procedural Collapse: A Structural Account of Disengagement in LLM-Assisted Writing

Source summaryarXiv:2608.17326v1 Announce Type: new Abstract: When students use large language models for writing, the dominant explanation for disengagement is dispositional: they are over-reliant, and the remedy is to scaffold self-regulation. We argue that a structural explanation is needed, offering an alternative basis for design interventions to support appropriate AI-assisted writing. Current LLM…

  • Policy
  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

What If AI Carried Her Imagination? Black Girls as Creators in an AI Storytelling Weekend Program

Source summaryarXiv:2608.16896v1 Announce Type: new Abstract: This paper presents the design and outcomes of a seven-weekend AI storytelling program developed for Black girls aged 10-12. Grounded in Afrofuturism and Black feminist thought, the program adopted AI-enabled counter-storytelling, supported the development of foundational AI literacies, and fostered future-oriented imagination. Activities included…

  • K-12
  • Teaching practice
  • Tools and products

EdSurge · Media · United States

Assignments, Invoices, and the AI Fix

Source summaryOn This Week with EdSurge, searching to see where artificial intelligence quietly adds up.

  • Teaching practice
  • Tools and products
  • Academic integrity

EdSurge · Media · United States

The Case Against the Classroom Cellphone Crackdown

Source summaryInstead of banning the technology, schools have an opportunity to promote digital citizenship and student engagement.

  • Policy
  • K-12
  • Teaching practice

Google for Education — Learning & Education blog · First-party · Global

Keep your SAT prep on track with practice tests in Gemini.

Source summaryGoogle’s Gemini app offers full-length practice SAT tests at no cost. Here’s how to take these SAT practice tests as you prep.

  • Tools and products

Education Week · Media · United States

How Teachers Are Experimenting With AI (Opinion)

Source summaryFrom supporting students to saving time on tasks, educators share their thoughts on the tool.

  • Teaching practice
  • Tools and products

GOV.UK — Department for Education · First-party · United Kingdom

Guidance: DfE funding agreements and contracts: 2026 to 2027

Source summaryGrant funding agreements and contracts issued to providers, which are either extensions of the 2025 to 2026 agreements and contracts, or recently procured contracts.

  • Policy

OpenAI News · First-party · Global

Partnering with CodeAI to prepare the first AI generation

Source summaryOpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.

  • Skills and workforce

arXiv — Computers and Society (cs.CY) · Research · Global

An AI-Based Adaptive Learning Platform for Multilingual and Low-Resource Educational Contexts: A Case Study on Nigeria

Source summaryarXiv:2608.15738v1 Announce Type: new Abstract: Educational platforms in under-resourced and multilingual contexts, such as Nigeria, often struggle with limited personalisation, inadequate language support, and weak curriculum internationalisation, leading to reduced learner engagement and inclusivity. This paper presents an AI-based adaptive learning platform designed for multilingual and…

  • Tools and products
  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Artly: Exploring Digital Artists' Perceptions of AI-Generated Feedback

Source summaryarXiv:2608.16189v1 Announce Type: new Abstract: Recent developments in generative AI have lowered barriers to image generation, but existing tools mostly optimize for efficiency, producing generic results and offering little support for artistic growth. We present Artly, an AI system that combines personalizable AI feedback with human-authored learning resources. In a between-subjects study with…

  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Automating Learner Assessment: Benchmarking Machine Learning and Deep Learning Models for EEG-Based Familiarity Prediction

Source summaryarXiv:2608.16541v1 Announce Type: cross Abstract: Objective assessment of learning remains a fundamental challenge in education. Electroencephalography (EEG) provides a direct, non-invasive window into the neural correlates of knowledge acquisition, including cognitive familiarity. This study benchmarks fifteen machine learning (ML) and deep learning (DL) models for EEG-based familiarity…

  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

Benchmark-Based Comparative Assessment of Publicly Benchmarked Indian Foundation Models: A Capability and Evaluation-Maturity Framework

Source summaryarXiv:2608.11891v2 Announce Type: replace Abstract: Purpose: Governments increasingly fund indigenous foundation models to strengthen national AI capability, digital sovereignty, and multilingual computing. This paper assesses India's foundation-model ecosystem and examines whether apparent capability gaps in public benchmark evidence may also reflect gaps in evaluation maturity. Approach: The…

  • Policy
  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics

Source summaryarXiv:2606.01375v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly entering students' learning practices, but their educational value may depend on whether they are used to support reasoning or to complete tasks without engaging in the underlying reasoning. This study examines guided LLM use in an undergraduate Probability and Statistics course, focusing on the…

  • Higher education
  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

Bye-bye, Bluebook? Automating Legal Drudgery With AI-Augmented Rule Following

Source summaryarXiv:2505.02763v2 Announce Type: replace-cross Abstract: One of the central promises of legal AI is to automate drudgery -- the formal, repetitive tasks of lawyers' work that consume time without calling for much discretion. Yet it remains an open question how well AI models actually perform on such tasks. This article presents the first empirical examination of AI performance on perhaps the…

  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews

Source summaryarXiv:2509.15035v2 Announce Type: replace-cross Abstract: This study investigates the use of generative AI to support formative assessment through machine generated reviews of peer reviews in graduate online courses in a public university in the United States. Drawing on Systemic Functional Linguistics and Appraisal Theory, we analyzed 120 metareviews to explore how generative AI feedback…

  • Higher education
  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

Culturally-Aware AI for Cross-Boundary Community Learning: Undergraduate Innovation at the Intersection of Computation and Design

Source summaryarXiv:2606.09041v2 Announce Type: replace Abstract: Research on artificial intelligence in education (AIED) is rapidly expanding, yet technical progress often lacks human-centered grounding and adequate attention to cultural context. Community-Based Learning, a pedagogy rooted in social work, remains underrepresented in AIED research, particularly within Asia-Pacific contexts. This paper reports…

  • Higher education
  • Teaching practice
  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Dynamic Evidence Collection Ecosystem for Assessment Integrity and Authentic Competence

Source summaryarXiv:2608.16016v1 Announce Type: new Abstract: Generative Artificial Intelligence (GenAI) can produce high-quality essays, code, and design artefacts, challenging the validity of conventional assessments that rely on single-point submissions and product-only grading. This paper proposes a design framework called "Dynamic Evidence Collection Ecosystem" that shifts assessment toward continuous,…

  • Policy
  • Tools and products
  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Evaluating Beyond the Screen: Collective Assessment of AI-Generated Business Plans with Resource-Constrained Entrepreneurs

Source summaryarXiv:2608.16886v1 Announce Type: new Abstract: Entrepreneurs increasingly use end-user generative AI technologies such as ChatGPT for high-stakes documents like loan applications and business plans, where AI-generated errors---a wrong price, a fabricated product---can affect loan or funding outcomes. Current approaches to supporting evaluation of AI-generated text assume a single user assessing…

  • Tools and products
  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Game-Master LLMs for Task-Based Role-Play: Supporting the Acquisition of Idiomatic Language in L2 Learning

Source summaryarXiv:2511.15504v3 Announce Type: replace Abstract: Natural and idiomatic expressions are essential for fluent, everyday communication, yet many second-language learners struggle to acquire and spontaneously use casual slang despite strong formal proficiency. To address this gap, we designed and evaluated an LLM-powered, task-based role-playing game in which a GPT-4o-based Game Master guides…

  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Generating Synthetic Behavioral Populations from XR Motion

Source summaryarXiv:2608.14867v1 Announce Type: new Abstract: Large-scale behavioral datasets are becoming increasingly important for machine learning, personalization, and behavioral modeling in extended reality (XR). However, collecting XR motion data from hundreds or thousands of participants remains expensive, time-consuming, and difficult to reproduce across research groups. As a result, many XR studies…

  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

Local AI pre-screening for human triple-blind peer review in health sciences

Source summaryarXiv:2608.14625v1 Announce Type: new Abstract: Academic peer review is under mounting strain: NeurIPS 2025 received 21,575 submissions, ICLR 2025 received 11,603, and ICML 2025 received 12,107. This volume has outpaced the supply of qualified reviewers, and large language models (LLMs) are already filling the gap, largely undisclosed. An independent analysis of ICLR 2026 found roughly 21% of its…

  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

Love in the Age of AI: An Integrative Process Model of Romantic Human-Chatbot Relationships

Source summaryarXiv:2608.16633v1 Announce Type: new Abstract: The increasing ability of social chatbots to form deep and even romantic Human-Chatbot Re lationships (HCRs) has drawn growing academic attention. Yet, existing research remains fragmented, often examining individual stages such as initiation or dissolution in isolation, without tracing the full relational trajectory. Such fragmentation, however,…

  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

Mitigating AI Risks in Computing Education via LLM-Driven Lecture Video Curation

Source summaryarXiv:2608.16131v1 Announce Type: new Abstract: This study evaluates the effectiveness of utilising large language models (LLMs) to retrieve targeted segments from delivered video recordings to answer student questions in introductory programming environments. By restricting AI to identifying existing, educator-verified media rather than generating open-ended text, this approach aims to mitigate…

  • Research

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

PolyDebate: A Game-Orchestrated Multimodal System for Debate Skills Practice and Evaluation

Source summaryarXiv:2608.16276v1 Announce Type: new Abstract: Debate is a structured form of persuasive communication that trains argument construction, rebuttal, oral delivery, and audience awareness. These skills are valued in education, language learning, and professional communication. Recent AI debate systems and LLM-based judges have advanced argument generation and debate evaluation, but most remain…

  • Research
  • Skills and workforce

arXiv — Computers and Society (cs.CY) · Research · Global

Psychological Determinants of Academic Integrity in the Use of Generative AI in Higher Education

Source summaryarXiv:2608.14605v1 Announce Type: new Abstract: This paper examines the psychological determinants that shape academically honest and dishonest uses of generative artificial intelligence (GenAI) in higher education. Rather than treating academic misconduct as a purely technological problem, the study conceptualizes academic integrity as a psychologically mediated decision process influenced by…

  • Higher education
  • Research
  • Academic integrity

arXiv — Human-Computer Interaction (cs.HC) · Research · Global

SocialCoach: Personalized Social Skill Learning with Agentic Tutoring and Practice

Source summaryarXiv:2606.04155v2 Announce Type: replace Abstract: Social skills such as negotiation and leadership are crucial for personal and professional success in today's interconnected world. However, scalable and effective training remains a significant challenge due to the scarcity of expert coaching. In this work, we introduce SocialCoach, an LLM-powered agentic tutoring system for personalized social…

  • Teaching practice
  • Research
  • Skills and workforce

arXiv — Computers and Society (cs.CY) · Research · Global

The Benchmark Trap: Structures of Power and Injustice in AI Evaluations

Source summaryarXiv:2608.15326v1 Announce Type: cross Abstract: Artificial intelligence (AI) benchmarks are not neutral tools of evaluation but socio-technical artefacts that shape competition, power, and research priorities within AI. Benchmarks standardise the assessment of systems and facilitate the creation of leaderboards that reward state-of-the-art performance with prestige, citations, trust, and…

  • Research

arXiv — Computers and Society (cs.CY) · Research · Global

VirnyFlow: Optimizing ML Pipelines for Accuracy, Fairness, and Stability at Scale

Source summaryarXiv:2506.01584v2 Announce Type: replace-cross Abstract: Developing machine learning (ML) systems for real-world deployment requires navigating context-dependent trade-offs among accuracy, fairness, stability, and other objectives. Existing AutoML frameworks optimize pipelines efficiently, but they fix the optimization objective up front, leave it outside the developer's control during search,…

  • Research

Khan Academy Blog · First-party · Global

Ready for the Hardest SAT Questions? Try the New Challenge Unit

Source summaryThe SAT Reading and Writing Challenge unit gives students free, focused practice with some of the most difficult ... Read more The post Ready for the Hardest SAT Questions? Try the New Challenge Unit appeared first on Khan Academy Blog.

  • Higher education
  • Teaching practice
  • Tools and products

Inside Higher Ed · Media · United States

CUNY’s Computer Science Growing Pains

Source summaryCUNY’s Computer Science Growing Pains Joshua.Bay Mon, 08/17/2026 - 03:00 AM After a decade-long enrollment boom, CUNY faces faculty shortages and pressure to prepare students in the field for an AI-driven job market. Byline(s) Joshua Bay

  • Higher education