Named after the hundred-eyed watchman of Greek myth, Argus watches the education landscape: spotting new opportunities, pressure-testing the ventures we're building, and tracing every read back to the real-world signals behind it.
The evidence library: the raw signals the pipeline is watching across the education ecosystem. Every idea is built from these.
arXiv:2606.28241v1 Announce Type: new Abstract: Background: Conversational AI chatbots designed for mental health may offer an accessible, scalable avenue for supporting psychological well-being, yet prior evaluations have largely focused on clinical symptom reduction rather than broader indicators of day-to-day functioning, and have rarely monitored for potential harms such as inflated self-perception. Objective: We examined within-person change in psychological functioning indicators among real-world users of Ash, a purpose-built conversational AI for mental health support, over the first four weeks of use, and whether these changes were associated with engagement metrics. Methods: In this single-arm observational cohort study, new users (n = 1,284) completed in-app single-item measures of psychological functioning (life satisfaction, relationship satisfaction, sleep quality, behavioral activation), working alliance, and grandiosity (inflated self-perception), at baseline and Week 4.
arXiv:2606.28090v1 Announce Type: new Abstract: As Large Language Models (LLMs) become increasingly integrated into daily routines, understanding how users interact with these systems is crucial for effective human-AI collaboration. This work investigates keystroke dynamics as a behavioral measure of user mental effort and perceived output usefulness in human-LLM interaction. We conducted a user study (N = 36) to examine how task difficulty (easy vs. hard) and device type (desktop vs. mobile) influence typing behavior and workload (NASA-TLX) during interactions. Our results indicate that hard tasks led to significantly more keystrokes, slower typing, increased pauses, and higher self-reported workload. Device type had weaker effects, with mobile use slightly reducing input length and typing speed. While keystrokes captured differences in cognitive effort, they did not predict perceived LLM output usefulness. These findings highlight the potential of keystroke dynamics as real-time indi
arXiv:2606.28081v1 Announce Type: new Abstract: Spatialized document layouts are widely used for exploratory analysis of text corpora, but interpreting the spatial organization of documents and the relationships between regions remains challenging. Existing approaches primarily summarize document content or explain how layouts are generated, providing limited support for understanding spatial relationships within the layout itself. We present CAPE, a context-aware explanation framework that generates natural-language explanations grounded in both document semantics and layout-derived spatial context. CAPE identifies salient spatial patterns (e.g., clusters, subgroups, outliers, and bridging documents) and constructs multi-level contextual representations to guide LLM-based explanation generation. It supports both AI-guided overview and user-driven exploration, with explanations available at multiple levels of detail. We demonstrate CAPE on news and scholarly document layouts and evalua
arXiv:2606.27738v1 Announce Type: new Abstract: Text-to-3D generation lowers the barrier to 3D content creation, but text alone is a weak interface for specifying spatial intent: where parts should be placed, how they relate, and how an object should be organized in 3D. We present HandMade, a workflow that combines VR 3D sketching and language for open-domain 3D asset generation. HandMade treats coarse, part-labeled 3D sketches not as incomplete geometry to reconstruct directly, but as spatial prompts for existing generative models. It converts segmented VR strokes into multi-view part guidance and structured prompts, allowing users to specify object layout and part relationships through 3D sketching while using language for identity, material, style, and local details. A technical evaluation shows that HandMade better preserves user-authored spatial scaffolds than text-only and sketch-based baselines on 20 varied examples. A user study with eight participants characterizes how users m
arXiv:2606.18142v3 Announce Type: replace-cross Abstract: AI agents are moving from advisors to actors, booking travel, planning menus, and running procurement on behalf of users. Existing benchmarks for AI and animal welfare evaluate model text responses to question-answer prompts, leaving open whether the welfare reasoning surfaced in those responses transfers to agentic deployment where the model must take actions with tools. We introduce TAC (Travel Agent Compassion), the first agentic benchmark measuring whether AI agents avoid options involving animal exploitation when acting on behalf of users. TAC presents an AI agent with twelve hand-authored travel booking scenarios across six categories of animal exploitation, augmented to forty-eight samples to control for price, rating, and position confounds. We evaluate seven frontier models from four labs. Every model scores below the chance level of sixty-four percent, with the best performer (Claude Opus 4.7) at fifty-three percent. A
arXiv:2604.18193v3 Announce Type: replace-cross Abstract: With the increasing deployment of robots in public spaces, encounters between robots and incidentally copresent persons (InCoPs) are becoming more frequent. However, InCoPs remain largely underexplored in the literature, particularly from a cross-cultural perspective. Therefore, the present study investigates differences in InCoPs' existence acceptance (EA) of autonomous cleaning robots in public spaces among Japanese and German participants. Online survey results revealed that Germans showed significantly higher EA. Social Norms and Trust were the strongest positive EA predictors across cultures. More specifically, for Germans, EA was directly influenced by Usefulness, Interest and Anger, showing a functional-affective pattern where functional perceptions boost EA and anger suppresses it. For Japanese participants, Trust, Surprise and Fear were the direct associational factors, forming a trust-emotion pattern. These findings su
arXiv:2601.22201v2 Announce Type: replace-cross Abstract: Social media platforms face increasing scrutiny over the rapid spread of misinformation. In response, many have adopted community-based content moderation systems, including Community Notes (formerly Birdwatch) on X (formerly Twitter), Community Notes on Meta, and Footnotes on TikTok. However, research shows that the current design of these systems can allow political biases to influence both the development of notes and the rating processes, reducing their overall effectiveness. We hypothesise that enabling users to collaborate on writing notes, rather than relying solely on individually authored notes, can enhance the overall quality of their notes. To test this idea, we conducted an online experiment in which participants jointly authored notes on politically misleading posts. We find that collaboration improves the helpfulness of notes, although the average effect depends on the interactional context. In particular, the bene
arXiv:2511.03217v2 Announce Type: replace-cross Abstract: Large language models (LLMs) excel in generating fluent utterances but can lack reliable grounding in verified information. At the same time, knowledge-graph-based fact-checkers deliver precise and interpretable evidence, yet suffer from limited coverage or latency. By integrating LLMs with knowledge graphs and real-time search agents, we introduce a hybrid fact-checking approach that leverages the individual strengths of each component. Our system comprises three autonomous steps: 1) a Knowledge Graph (KG) Retrieval for rapid one-hop lookups in DBpedia, 2) an LM-based classification guided by a task-specific labeling prompt, producing outputs with internal rule-based logic, and 3) a Web Search Agent invoked only when KG coverage is insufficient. Our pipeline achieves an F1 score of 0.93 on the FEVER benchmark on the Supported/Refuted split without task-specific fine-tuning. To address Not enough information cases, we conduct a
arXiv:2508.11059v2 Announce Type: replace-cross Abstract: This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social inequality. While digital technologies offer broad access to narratives and data, they also contribute to misinformation and the oversimplification of interconnected issues. IDNs enable learners to navigate nonlinear, interactive stories, fostering deeper understanding and engagement. We introduce Systemic Learning IDNs: interactive narrative experiences explicitly designed to help learners explore and reflect on complex systems and interdependencies. To guide their creation and use, we propose the CLASS framework, a structured model that integrates systems thinking, design thinking, and storytelling. This transdisciplinary approach supports learners in developing curiosity, critical thinking
arXiv:2606.22689v2 Announce Type: replace Abstract: As AI-generated content (e.g., "slop") becomes more prevalent online, people are developing strategies to attempt to identify it (or, conversely, to gain confidence that something is not AI-generated). What strategies are people using, and how are they changing over time as generative AI models themselves change? In this work, we catalog and analyze 2 years and 8 months of the AI detection strategies discussed by users of two popular Reddit communities (r/isthisAI and r/RealOrAI) that use the wisdom of crowds to identify AI-generated media. Through a mixed-method analysis of 13,098 posts and 222,060 comments within these communities, we catalog and analyze the prevalence of 12 AI-detection strategies, including examining fine-grained physical details, recognizing trends in AI-created content, and the assumptions people make about what models are capable of producing. Furthermore, we find that these strategies and mental models shift o
arXiv:2604.24155v3 Announce Type: replace Abstract: The project of aligning machine behavior with human values raises a basic problem: whose moral expectations should guide AI decision-making? Much alignment research assumes that the appropriate benchmark is how humans themselves would act in a given situation. Studies of agent-type value forks challenge this assumption by showing that people do not always judge humans and AI systems identically.This paper extends that challenge by examining two further possibilities: first, that evaluations of AI behavior change when its human origins are made visible; and second, that people judge the humans who program AI systems differently from either the machines or the human actors they are compared against. An experiment with 1,002 U.S. adults measured moral judgments in a runaway mine train scenario, varying the subject of evaluation across four conditions: a repairman, a repair robot, a repair robot programmed by company engineers, and compan
arXiv:2601.14264v2 Announce Type: replace Abstract: Large language models (LLMs) act as digital twins for human respondents, yet their psychometric comparability remains uncertain. We propose a construct validity framework spanning construct representation and the nomothetic span, benchmarking models against human gold standards. Across studies, digital twins achieved high aggregate-level accuracy and profile correlations, but showed attenuated item-level correlations. In word association tests, LLM networks exhibited humanlike small-world structure and theory-consistent communities, yet diverged lexically and in local structure. In decision-making and contextualized tasks, they under-reproduced heuristic biases, demonstrating normative rationality, compressed variance, and limited temporal sensitivity. Feature-rich and trait relevant conditioning improved Big Five personality prediction and nomothetic-span alignment, but network invariance remained limited, with partial configural sol
arXiv:2606.28277v1 Announce Type: cross Abstract: Artificial intelligence is driving a revolution in scientific discovery, accelerating everything from hypothesis generation to mathematical theorem proving. However, this rapid acceleration is creating a systemic challenge: traditional human peer review cannot scale to match the influx of AI-assisted science. Ultimately, to resolve this tension, we must also deploy AI to accelerate the verification and review process itself. To frame the discussion around this transition, we propose a taxonomy consisting of four progressive levels of AI-human collaboration in scientific evaluation, and discuss various trade-offs involved with each. As a step toward this future, we introduce the Paper Assistant Tool (PAT), an agentic AI framework built for deep scientific review and verification. PAT ingests full scientific manuscripts and produces a comprehensive evaluation, checking theoretical results, validating experiments, suggesting improvements,
arXiv:2606.28186v1 Announce Type: cross Abstract: Predicting human item difficulty is central to educational assessment, where reliable estimates support fairness and effective test construction. Existing methods often depend on costly human calibration or item-level textual representations, providing limited evidence about the cognitive processes that make items difficult. We argue that difficulty should be viewed not only as a property of item text, but also as an observable consequence of the problem-solving burden an item induces. Large Reasoning Models (LRMs) offer scalable process evidence through reasoning traces, but such evidence must be structured to support interpretable modeling. To this end, we introduce Epi2Diff (Episode to Difficulty), a framework that maps LRM reasoning traces into cognitively grounded episode sequences. These episodes group trace segments into functional problem-solving states, enabling difficulty to be modeled through reasoning scale, effort allocatio
arXiv:2606.27951v1 Announce Type: new Abstract: AI agents are promising tools that can act as flexible behavioral nudges to enhance human cooperation in addressing large-scale societal problems. However, evidence on whether AI agents can effectively boost cooperation remains mixed. We recruited 1,283 participants to play iterated Collective Risk Games in small groups, testing whether AI assistants could nudge participants toward cooperation. By using persuasive framing personalized to each player's Social Value Orientation profile, the AI interventions significantly increased contributions and group success rates. These cooperative effects were short-lived, however, fading after the first few rounds. Strikingly, when the AI treatments were reconfigured to promote selfish behavior through exculpatory framing, the negative effects on contributions and group success were larger and substantially more persistent, particularly for personalized interventions. This asymmetry between prosocial
arXiv:2606.27689v1 Announce Type: new Abstract: AI-driven deception mechanisms are increasingly prevalent in digital games, yet the direction and magnitude of their effects on player experience remain contested. Existing research has not sufficiently disentangled designer-intended deception intensity from players' actual perception of deception, and most prior work relies on low-ecological-validity experiments or cross-sectional surveys. The present study aims to independently examine the causal effects of design deception intensity (DDI) and player deception awareness (PDA) on player ratings within a naturalistic gaming environment, and to investigate the moderating role of player experience. Leveraging the 54 version updates of Baldur's Gate 3 between 2019 and 2025 as a quasi-natural experiment, it collected all English-language Steam reviews posted within 1 to 28 days following each update, and constructed a player-version two-way fixed effects panel dataset. DDI was coded by human
Article URL: https://getmeadow.com/education/how-is-marijuana-medicine Comments URL: https://news.ycombinator.com/item?id=9957232 Points: 63 # Comments: 29
Educator and author Carl Hooker says AI interest from educators has passed peak levels.
These lessons and activities, from exploring key documents of freedom to moments of the Revolution, can help students understand the American story.
Article URL: https://www.reuters.com/legal/googles-ai-previews-erode-internet-edtech-company-says-lawsuit-2025-02-24/ Comments URL: https://news.ycombinator.com/item?id=43165803 Points: 5 # Comments: 1
I've been working on an edtech project that uses LLMs, curious how others are approaching compliance w/ FERPA, COPPA, etc. I've been using Lakera but as I get closer to some sales meetings I wanted to know if anyone has run into challenges with audit logs, consent tracking, or explaining AI behaviour to school districts/legal teams. Did you need to build anything custom? Any compliance docs? Curious whats overkill and whats needed. Comments URL: https://news.ycombinator.com/item?id=44351618 Points: 2 # Comments: 0
Article URL: https://www.theregister.com/offbeat/2026/06/22/small-island-nation-tries-bold-tech-education-strategy/5258986 Comments URL: https://news.ycombinator.com/item?id=48631644 Points: 6 # Comments: 0
The success of today’s modern classrooms relies on a combination of resources, technologies and policies to maximize learning for students. From the funding that brings technology to schools to the rules and regulations that govern how it is used, these factors work cohesively to ensure an optimal experience for teachers and students alike. At this year’s ISTELive conference, held June 28 to July 1 in Orlando, Fla., expert speakers will present on a range of topics that address the future of modern classrooms. K–12 instructional staff, technology leaders, superintendents and librarians…
Engaging in professional development is never simple for educators, who must juggle classroom learning, curriculum planning, grading assignments and administrative responsibilities. Too often, PD takes a backseat to everything else. With artificial intelligence–related classroom training, it’s even more difficult to accommodate the necessary instruction. “The pace of change with AI is so rapid, it can be daunting for educators to keep pace,” says Jennie Magiera, global head of education impact at Google. “And it’s a second-order change to incorporate AI into classrooms, creating novel ways of…
Scale requires conditions that go beyond individual tools to include broader system readiness.
zSpace is a VR and AR teaching tool that brings class to another world.
Cyber resilience in education starts at the data layer. That is because the data layer is where schools' most important information lives and where recovery begins when something goes wrong. The post For schools, cyber resilience starts at the data layer appeared first on eCampus News .
Article URL: https://www.statnews.com/2024/07/16/philanthropists-step-up-support-nursing-schools/ Comments URL: https://news.ycombinator.com/item?id=41039262 Points: 1 # Comments: 1
Practical advice for district leaders implementing AI in their district.
Edcafe AI is an eduction specific tool designed to help along the entire teaching cycle.
A well-run event space should not depend on every speaker plugging in, pairing, restarting, authenticating, and hoping for the best.
How one school principal uses AI to save time on administrative tasks that can be better spent with students and staff
If you work in higher education, you already know about the audience problem. Donors. Alumni. Prospective students. Current students. Faculty, staff, elected officials, local employers, community members, journalists, and more. The post Stop defending and start showing: How colleges can win back trust by looking past the campus walls appeared first on eCampus News .
Article URL: https://www.reuters.com/world/americas/chegg-lay-off-22-workforce-ai-tools-shake-up-edtech-industry-2025-05-12/ Comments URL: https://news.ycombinator.com/item?id=43965564 Points: 12 # Comments: 5
Google’s Gemini can provide free, vetted SAT practice tests with real-time feedback. It’s one of the latest AI tutoring features unveiled by the tech giant.
ClassPoint is here to make slide-based teaching easily interactive for greater engagement.
AI plagiarism is becoming more and more common in and outside of the classroom.
Higher education is rapidly developing AI governance frameworks through the creation/modification of policies, establishing compliance structures, conducting procurement reviews, and developing acceptable use guidelines. The post Beyond compliance: Governing higher education in the age of intelligent systems appeared first on eCampus News .
As artificial intelligence’s capabilities continue to make themselves evident in the classroom, the technology is quickly moving from a novelty to a necessity. To that end, at the ISTELive 2026 conference in Orlando, Fla., the organization unveiled its expanded Profile of an AI-Ready Graduate. Joseph South, chief innovation officer for ISTE+ASCD, said that in identifying trends and themes involving AI in teaching and learning, his team noticed a gap. While early frameworks focused on AI literacy, teaching students the fundamentals of AI and how to interact with it, guidance didn’t go much…
Technical debt is the accumulation of future costs that come with every IT product in your portfolio. For many IT managers, managing technical debt is a careful balancing act to ensure expenditures are predictable and problems are avoided. Security debt is a variation on technical debt — and a bigger problem in higher education. Click the banner below to read the recent CDW Cybersecurity Research Report.
With a major new film adaptation on the way, the leading modern Odyssey translator shares her tips for teaching Homer’s beloved epic.
PlayKids Learning offers a broad range of learning in one digital space.
Higher education continues to treat AI as just another technology to be deployed, managed, and governed. That assumption is increasingly inadequate. While AI bears some similarities to previous technologies, such as enabling automation and enhancing efficiency of processes, it is different in that it creates a continuously available capability for reasoning, synthesis, recommendation, interaction, and even collaboration. The post Beyond governance: Purpose, ethics, visibility, assurance, and compliance in the age of AI appeared first on eCampus News .
Article URL: https://medium.com/@Medicustech/benefits-of-3d-animation-in-medical-education-d87d37c5701 Comments URL: https://news.ycombinator.com/item?id=16306651 Points: 2 # Comments: 0
ClickView is a video learning platform designed for classroom use.
Strong instruction in an AI-rich classroom depends on strong content knowledge
Health sciences professor Humberto López Castillo urges students to use AI to help with science research, but never to lose sight of the human element.
New edtech products that have caught our attention this month
Article URL: https://www.governance.fyi/p/why-singapore-and-estonias-edtech Comments URL: https://news.ycombinator.com/item?id=46825033 Points: 6 # Comments: 3
Article URL: https://github.com/nyr-github/ai-3d-learning Comments URL: https://news.ycombinator.com/item?id=48330451 Points: 2 # Comments: 0