Children & education

arXiv:2607.24757v1 Announce Type: cross Abstract: This paper reports on the rapid development and classroom deployment of a Thonny log visualizer built using AI-assisted ``vibe coding'' to make students' programming processes easily visible to teachers. We developed a web application that analyzes log files generated by Thonny (an IDE for Python) and produces interpretable views of students' programming processes. Teachers can upload a log, a ZIP archive, or a folder containing logs for a group

arXiv:2607.24775v1 Announce Type: cross Abstract: Artificial intelligence (AI) chatbots are increasingly deployed in domains where empathy is essential, including healthcare, education, and customer service. However, their capacity to sustain authentic human moments remains structurally limited. This paper introduces two interlinked conceptual models to explain and address this limitation. First, the Human-Moment Gap Framework (HMGF) identifies three structural empathy deficits in AI-mediated in

arXiv:2607.25750v1 Announce Type: cross Abstract: Low-rank adaptation (LoRA) fine-tuning has made it cheap and easy to customize open-weight image generation models for specific tasks, including the production of child sexual abuse material (CSAM). Existing moderation relies on metadata or generated outputs, but metadata can be deceptive and generating outputs may itself be unacceptable or illegal. We show that a safer signal lives in the weights. The top-left singular vectors of a LoRA's update

arXiv:2607.25974v1 Announce Type: cross Abstract: Observed standardized test scores are the result of an endogenous process: students strategically allocate effort across multiple retake attempts to improve their outcomes. Because students differ in their ability to make these investments, the interaction between applicant strategy and institutional scoring rules---such as the widely used Single-Sitting and Superscoring policies---can disparately distort observed scores. We develop a strategic f

arXiv:2606.30860v2 Announce Type: replace Abstract: As large language models (LLMs) become common in computing courses, we need to understand how the social setting shapes how students use them. This paper reports findings from a semester-long study of 96 undergraduate students who completed six assignments, alternating between individual homework and team project milestones. We tracked LLM usage, prompting habits, and how students verified AI-generated output across all six assignments. LLM usa

arXiv:2607.21534v2 Announce Type: replace Abstract: The spread of generative AI (GenAI) in higher education has raised concerns that students offload cognitive effort to AI, earning high grades without learning. If this "GenAI substitution hypothesis" is true, grades should rise disproportionately in GenAI-susceptible courses--those relying more on assessments like take-home problem sets and essays rather than in-class exams. Substitution could also affect student satisfaction, measured here as

Coding agents (e.g., Cursor) improve developer productivity by optimizing task completion, but shifting users from writing code to prompting and reviewing may harm their understanding, impeding oversight, learning, and communication. To probe this, we have 54 students create a website with one of two AI systems: an agent that edits user code; or a chatbot where users write code alone or adapt generic code snippets. We test understanding via comprehension questions and a task where users extend t

Automated platforms can translate messages in seconds, but as a school principal, I've learned that true belonging requires a human connection ...

Two educators grapple with the same question from opposite perspectives.

Artificial Intelligence (AI) is transforming higher education, but its benefits can vary depending on where, how, and how often it supports learning. While prior research emphasizes cognitive and academic outcomes, this study examines how AI chatbots support the psychological needs and motivational states of engineering students. A survey of college engineering students (n = 206) examined perceived effects of AI chatbots on autonomy, relatedness, and relief from competence frustration. Structura

NEW YORK (AP) — A school district in a rural corner of upstate New York is hitting pause on plans to deploy an AI-powered, humanoid robot in the classroom after state education officials, teachers and local residents raised concerns, including the maker's ties to a company that produces hyper realistic sex bots. The Salamanca City...

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HHS has removed Minor as the agency’s CIO online. The ex-Palantir executive began at the agency in February 2025. The post Clark Minor out as Health and Human Services’ IT chief appeared first on FedScoop .

On-policy distillation (OPD), which aligns a student with the teacher's token-level distribution on the student's own rollouts, is an effective paradigm for transferring capabilities across LLMs. Prevailing approaches assume a teacher at least as capable as the student: they either distill a larger model into a smaller one, which fails at the frontier where no larger teacher exists, or consolidate multiple domain experts trained from a shared base, which requires costly training at the student's

Back-to-school shopping usually means backpacks, notebooks and dorm-room basics. But for many families, a phone plan — or a first phone — has become just as essential. Boost Mobile is leaning into that rite of passage with a slate of back-to-school tech deals aimed at parents looking to get their kids connected without committing to a traditional […]

When the leaders of a new elementary school applied for a four-digit public school code from the Colorado Department of Education last summer, they didn’t mention a key detail: The school would be religious. Instead, they said Riverstone Academy would offer traditional academics and trade-themed electives. But education department officials soon learned that the 30-student […]

The proposed legislation will authorize $10 million annually to address cyber threats in K-12 schools.

On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix failure: once the student commits to a wrong reasoning direction, all subsequent generation builds on this deviation, producing misdirected continuations that elicit unreliable supervision and waste compute. We identify a teacher-student continuation asymmetry on failed prefixes, where the teacher tends to redirect while the student continues along the original direction, and con

Self-play in simulation produces robust driving policies at scale. Demonstrations of such behavior have been made using privileged vectorized observations such as exact poses and velocities, even for occluded agents. This assumes that perception is solved and introduces a representation gap with the partial observation of a deployed agent driving from the perspective view of egocentric cameras. A common fix, distilling the privileged policy into a camera-input student, leaves the student imitati

Observed standardized test scores are the result of an endogenous process: students strategically allocate effort across multiple retake attempts to improve their outcomes. Because students differ in their ability to make these investments, the interaction between applicant strategy and institutional scoring rules---such as the widely used Single-Sitting and Superscoring policies---can disparately distort observed scores. We develop a strategic framework where students allocate effort in respons

EEG-based community sensing programs are emerging globally as a tool to leverage aggregated brain data to gain insights into attentiveness of students and employees. But these programs raise privacy concerns because EEG signals contain sensitive personal information. Differential Privacy (DP) can protect individuals while preserving aggregate statistics yet applying DP to EEG data is challenging as it requires user-level noise generation, which increases power and latency. Besides, most commerci

As New Hampshire public schools grapple with funding challenges, declining enrollments, and increasing fiscal scrutiny from voters, some metrics suggest that the schools continue to perform well nationally. On Monday, Gov. Kelly Ayotte touted the latest analysis; a study by WalletHub that used a mix of proficiency scores, graduation rates, advanced placement course takeup, attendance, […]

Chronic absenteeism is playing a major role in students failing to reach pre-pandemic academic levels, a new report from NWEA shows. The report, issued last week, shows that the academic progress of students in districts with the highest rates of chronic absenteeism are more likely to lag behind districts that haven’t experienced drastic rises in […]

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There’s a long-held misconception that students’ opportunities are constrained by the size of their town. In many people’s minds, rural career and technical education and career-connected learning are synonymous with agriculture and manufacturing, while college prep is limited to a path from the graduation stage to the nearest state school. Unfortunately, this mentality can be […]

What GAO Found The unique needs of mothers and young children during disasters include appropriate sheltering, feeding and care supplies, medical and mental health support, and other services, according to relevant literature and disaster service providers from selected local, state, and nonprofit organizations. For example, large shelters may not be the best option for families with infants. Mothers also often need diapers, baby food, and infant formula. Service providers from 12 local, state,

Nearly 6 million children in California would be eligible for a scholarship under the new federal tax credit for education, more than in any other state, new data shows. But unlike other states with millions of eligible students, like Texas, Florida and New York, California hasn’t opted into the new Treasury Department program, and so […]

The post This MAGA Influencer Runs a Charity to Teach Kids Civics. Much of the Money Goes to Him Instead. appeared first on ProPublica .

Hugging Face is being used to make nonconsensual deepfakes, and the popular open-source AI model repository is doing very little to prevent it. That's according to a new report published by the European nonprofit AI Forensics, which found that seven out of the top nine image editing models hosted by Hugging Face readily complied with […]

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The Disappearing Student Safety Net Joshua.Bay Tue, 07/28/2026 - 03:00 AM New analysis from the Hope Center found that even though more colleges are offering aid for emergencies, awareness gaps and limited funding mean fewer students are receiving support. Byline(s) Joshua Bay

DOJ Sues Colorado Over In-State Tuition for Undocumented Students Johanna Alonso Tue, 07/28/2026 - 03:00 AM Byline(s) Johanna Alonso

Compton College Plans to Tie Basic Needs to Academic Milestones. Will It Work? Sara Weissman Tue, 07/28/2026 - 03:00 AM Starting in fall 2027, students need to meet a set of academic requirements to get free meals and other supports. College leaders say the move will increase completion rates. But basic needs experts are worried. Byline(s) Sara Weissman

How Will New Student Visa Rules Impact Athletics? Johanna Alonso Tue, 07/28/2026 - 03:00 AM NCAA policy allows athletes to compete for five seasons, but new federal rules limit international students to just four years in the U.S., cutting off collegiate play for some. Byline(s) Johanna Alonso

Stop Telling Students Computer Science Is Dying Elizabeth Redden Tue, 07/28/2026 - 03:00 AM The data says otherwise. Byline(s) Christine Julien

The 12-month programme combines classroom and workplace training to equip youth with telecoms infrastructure skills.

On-device speech emotion recognition (SER) is critical for real-time applications, yet large self-supervised models that excel at SER are too costly for edge devices. Multi-teacher knowledge distillation can compress them into a lightweight student, but two challenges remain: teacher reliability varies across batches, and logit-level distillation ignores inter-sample relational structure. We propose Adaptive Multi-teacher Relational Distillation (AMRD) to address both. A one-class SVM on each te

arXiv:2607.22606v1 Announce Type: new Abstract: Health systems are rapidly deploying generative AI assistants that answer patient questions from institution-authored education materials, on the premise that grounding in local content yields consistent guidance. Whether it does depends on a question not previously measured at scale: do the underlying documents themselves agree? We use a structured-output large language model judge to audit 5,730,465 pairwise comparisons across 102 patient-educati

arXiv:2607.23993v1 Announce Type: new Abstract: Misinformation is deeply embedded in online discourse, with nearly one in five posts during global events generated by bots that amplify false content. In recent years, the use of Generative AI has further lowered the barrier to producing convincing misinformation, yet most digital literacy education still relies on static checklists and single-player inoculation games built for an earlier media landscape. This paper describes how we addressed this

arXiv:2607.22940v1 Announce Type: cross Abstract: Computer programming MOOCs are instrumental in providing students with high-quality instruction in areas where there is limited access. They are especially beneficial to post-secondary African students as less than 1% of them leave secondary school with fundamental coding skills. One strategy for increasing their efficacy for African students is to understand students' motivation for enrolling. These insights can inform the design of MOOC content