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.
New research shows that for every 10 boys identified with autism, only about two girls in a comparable situation were identified.
Young people don’t all contribute in the same way, and understanding the broader picture is the starting point for adults who want to support them.
The Smith College investigation marks the first time the Trump administration is considering whether trans students should gain admission to certain schools.
Homeschooling trends are on the rise, bucking the narrative that most of its growth was caused by the pandemic.
New research suggests that bullying prevention work should address the broader classroom environment, not just students’ individual characteristics and behaviors.
BackgroundMultiple-choice questions (MCQs) are widely used in medical education, but are criticized for cueing and guessing. Very short answer questions (VSAQs), which require students to generate responses independently, may better assess knowledge. While VSAQs demonstrate higher item discrimination within individual exams, their effectiveness in distinguishing academic performance across multiple assessments remains unclear - representing a key gap in the validation of VSAQs under Messicks framework, specifically the category of "relations to other variables". This study examines whether VSAQs or MCQs more effectively distinguish students of varying performance levels across multiple summative examinations. MethodsWe analyzed retrospective data from six mixed-format examinations with VSAQs and MCQs of three cohorts of first- and second-year medical students. Academic performance was measured using grade point average (GPA) across assessments. Linear regression assessed the relationsh
Congress passed a law in 1990 mandating the return of all Native American items that federally funded institutions took without consent. Progress since then has been slow.
Most states have some sort of requirement for a minimum number of lockdown drills a year, but there is no set federal guidance.
While these Southern states made some gains in reading, they weren’t evenly felt across different student populations.
BackgroundSurgical phase recognition is a critical prerequisite for context-aware operating rooms and automated skill assessment. While artificial intelligence (AI) benchmarking has progressed for simpler procedures, applying surgical phase recognition to complex, anatomically demanding operations like transabdominal preperitoneal (TAPP) laparoscopic inguinal hernia repair (LIHR) remains uncharted, limiting the scalability of AI-driven analysis in this globally frequent surgery. MethodsWe introduced a workflow analysis framework for TAPP utilizing SurgFormer, a vision transformer architecture. The model was evaluated on an institutional dataset annotated via the Theator platform, with ethical approval from the Research Ethics Board (REB) of the McGill University Health Centre (MUHC). To mitigate data scarcity, we employed a three-stage sequential transfer learning strategy, leveraging weights from Kinetics-400 and Cholec80 before domain adaptation to visual complexities of LIHR. Result
Standardized patients (SPs) are central to clinical communication training but are constrained by cost, scalability, and reliance on trained actors. We present AI standardized patients (AI-SPs), large language model-driven simulators governed by a three-layer information architecture that modulates disclosure according to learner skill. We validate this approach across three phases. In Phase 1, blinded expert evaluation of 350 simulated consultations from five frontier LLMs showed that learner skill level, rather than model choice, drove performance variation (2 = 0.31 vs 0.06), indicating that pedagogical quality emerges from architec-tural design rather than model scaling. In Phase 1b, 155 live student consultations revealed systematic failures in eliciting safety-critical information, generating automated curriculum diagnostics without expert observation. In a three-arm pilot randomized controlled trial (Phase 2, n = 58), AI-SP training achieved skill gains non-inferior to human SP
BackgroundOnline professional learning offers a scalable alternative to traditional face-to-face learning, but there are doubts regarding how well it works and when it works best. This review assessed the effectiveness of online professional learning interventions on healthcare professionals knowledge and skill acquisition. MethodsWe conducted a systematic review and meta-analysis of randomised controlled trials that compared online professional learning against static controls or face-to-face controls. We searched MEDLINE Complete, Scopus, Embase, CENTRAL, and PsycINFO from inception to January 31, 2025. Eligible studies included practising healthcare professionals in any clinical setting that measured knowledge or skill acquisition related to patient care. Data was extracted in duplicate, with disagreements resolved through discussion or by a third reviewer. We used multilevel meta-analyses to estimate the overall effect size and conducted moderation analyses for pre-specified factor
ObjectivesAcademic medical institutions are the gatekeepers of the physician workforce and shape the future of medicine by regulating medical school admissions as well as residency training. Although broadly the field of medicine is seeing more representation from traditionally underrepresented groups, the critical decision-making platform of academic medicine continues to be uncharacteristically homogeneous, represented mainly by white males. This is even more pronounced in surgical subspecialties, such as academic neurosurgery. This study aims to quantify this phenomenon, uncover its driving factors, and define opportunities for improvement. MethodsUsing a mixed research methodology, academic neurosurgical faculty in the U.S were identified, and their demographic data was collected. An internet search using Google Scholar and Scopus was conducted to determine scholarly activity using number of publications and h-index. ResultsWe found a significant increase in female faculty in acade
BackgroundIncreasing relevance of genetics and molecular biology in medicine necessitates greater genetic literacy among current and future healthcare workers. To assess the literacy level, a validated genetic literacy questionnaire is needed. Therefore, a standardised Indonesian-language genetic literacy questionnaire is essential. AimsWe aimed to translate and validate three genetic literacy questionnaires (PUGGS, iGLAS, and UNC-GKS) for use among Indonesian medical students. We then evaluated genetic literacy levels using one of the validated questionnaires. MethodsThe PUGGS, iGLAS, and UNC-GKS questionnaires were translated into Indonesian and then reviewed by an expert panel for translational accuracy and conceptual appropriateness. Back-translation was performed to confirm validity. Initial Indonesian versions of the questionnaires underwent cognitive pre-testing with 12 undergraduate medical students. After refinements, the questionnaires were validated among 34 first-to third-y
BackgroundManual video-based evaluation of surgical skills can be time-consuming and delays trainee feedback. Artificial intelligence (AI) offers opportunities to automate aspects of assessment while maintaining clinician oversight. We developed an interpretable spatiotemporal model that classifies surgical expertise directly from endoscopic video in standardized training tasks and generates saliency-based "highlights reels" showing the most influential frames. MethodsAn RGB pipeline combining InceptionV3 for spatial feature extraction and a gated recurrent unit (GRU) for temporal modeling was trained on the JIGSAWS dataset. The model outputs novice, intermediate, or expert labels. A rolling-window, low-latency evaluation at 30 fps with a stride of 10 frames was used. A motion-augmented variant fused RGB with optical-flow features. Spatial and temporal saliency maps highlighted key decision-making regions. ResultsThe RGB model achieved 95% accuracy (F1: 92% expert, 86% intermediate, 99
Improving diversity in U.S. Alzheimers disease (AD) research is a pressing need. By 2050, Hispanic and Latino Americans will comprise 30% of the population. Hispanics are 1.5 times more likely and Blacks are twice as likely to develop AD compared to Whites, yet both remain vastly underrepresented in clinical trials research. Aging and AD research mentorship of underrepresented STEM undergraduates is designed to promote entry into related professions by students committed to decreasing disparities in AD research participation and clinical care. The NIA-funded MADURA program recruited 93 students from backgrounds historically underrepresented in STEM majors and/or from NIH-defined disadvantaged backgrounds. Trainees were placed in aging/AD research labs and received weekly training and mentorship from faculty research PIs and other types of supervisors (postdoctoral researchers, graduate students, research assistant staff...) Our study examined student ratings of the program and mentor b
Objective Structured Clinical Examinations (OSCEs) are widely used to assess medical students clinical skills, including non-technical abilities such as communication and empathy. However, the potential influence of individual psychological traits--such as personality dimensions, empathy, and stress-related mindset--on OSCE performance remains understudied. This study investigated associations between personality traits, empathy levels, stress mindsets, and performance in OSCEs among medical students. An online questionnaire (including the Big Five Personality Traits Inventory 2, the Jefferson Scale of Physician Empathy (Medical Student version), the Growth Mindset Scale, the Stress Mindset Measure) was provided to all fifth-year medical students enrolled at the Universite Paris Cite for six weeks before undertaking graduation summative OSCEs. Their scores were correlated with OSCE performance using Spearmans correlation and linear regression analyses. A total of 99 questionnaires were
BackgroundPeriodontal disease (PD) and diabetes mellitus (DM) have a well-established bidirectional relationship, affecting glycaemic control and chronic disease outcomes. However, the extent to which medical training supports physician awareness of this association remains unclear especially in resource-limited settings. ObjectiveTo assess exposure to oral health education and to identify predictors of awareness of PD-DM association among physicians. MethodsA cross-sectional study was conducted among 146 physicians managing diabetic patients at a tertiary teaching hospital in Ghana. A structured questionnaire assessed exposure to oral health education, periodontal disease knowledge (score range 0-5), and awareness using a 5-item Likert scale (score range 5-25). Multivariable linear regression identified predictors of awareness. ResultsAlthough 62.1% reported exposure to oral health content during undergraduate training, 59.2% rated its quality as poor. Mean awareness score was 20.6 (S
BackgroundHigh workload among healthcare workers has increasingly been correlated with poor patient outcomes, inefficient operational and financial outcomes, and burnout. Despite growing literature exploring causes of attending physician workload, there is limited understanding of trainee-specific measures. ObjectiveWe aimed to characterize elements contributing to trainee workload and perceived challenges and satisfiers to the trainee workday as a foundation for better understanding and measuring trainee work experience. MethodsInternal Medicine and Medicine-Pediatrics residents at an academic medical center were invited to participate in focus groups discussing contributors to inpatient workload and work experience between March and April 2024. A qualitative content analysis identified key metrics of trainee workload and work experience, which were then consolidated into overarching domains. A structured, multi-round rating process ranked the perceived relevance of each metric. Resul
We do not allow requests for this scam competition. Going forward if you post something asking for votes your post will be removed (which we’ve been doing) and you will be banned. Please continue to report future posts made by people who can’t read directions. submitted by /u/pile_o_puppies [link] [comments]
IntroductionEvaluate large language models (LLMs) for scoring medical student essays, and compare various prompting techniques and models. MethodsOpenAI GPT scored 51 medical student reflection essays (15 real, 36 fabricated) using a previously-reported 6-point rubric (April-May 2025). We compared 29 prompt-model conditions by systematically varying the LLM prompts (including the persona, scoring rubric, few-shot learning [exemplars], chain-of-thought reasoning, and temperature), fine-tuning, and model (including GPT-4.1, GPT-4.1-mini, GPT-o4-mini, and GPT-4-Turbo). Outcomes were accuracy (compared with human raters, measured using single-score intraclass correlation coefficient [ICC] and mean absolute difference [MAD; zero indicates perfect agreement]), within-condition reproducibility, and cost. ResultsAcross all conditions, it took mean (SD) 3.73 (3.12) seconds to score 1 essay. The cost to score 100 essays was USD $0.04 for GPT-4.1-mini, $0.21 for GPT-4.1, $0.57 for GPT-4.1 with 3
In recent years, progress in medical informatics and machine learning has been accelerated by the availability of openly accessible benchmark datasets. However, patient-level electronic medical record (EMR) data are rarely available for teaching or methodological development due to privacy, governance, and re-identification risks. This has limited reproducibility, transparency, and hands-on training in cardiovascular risk modelling. Here we introduce PRIME-CVD, a parametrically rendered informatics medical environment designed explicitly for medical education. PRIME-CVD comprises two openly accessible synthetic data assets representing a cohort of 50,000 adults undergoing primary prevention for cardiovascular disease. The datasets are generated entirely from a user-specified causal directed acyclic graph parameterised using publicly available Australian population statistics and published epidemiologic effect estimates, rather than from patient-level EMR data or trained generative mode
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Welcome! Here you'll find links to good resources for the subreddit's most common questions. This helps to keep our sub tidy and useful for all! You'll notice many links go to a Google Drive - this is to preserve content as some users delete their comments or account over time. You may be able to find the original post if you search! If you're new to our sub, please review our rules . If you're new to Reddit, you can learn the Reddit basics. Please remember: don't dox yourself . We strongly encourage you to skim the sub and use the search before posting - the information you're looking for is likely already out there! Posts that are duplications of information found in this post may be removed. Sometimes when people ask for advice, they get upset when people tell them something different than what they wanted to hear. Sending harassing DMs or Modmails is not acceptable and that behavior can result in your Reddit account being suspended. Looking for friends in nursing school, help with
Good evening, r/nursing . We know this is a challenging time for all due to the outrageous events that occurred on a Minnesota street yesterday. As your modteam, we would like to take a moment to address some questions we've gotten regarding our moderator actions in the last 48 hours and to make our position on the death of Alex Pretti, and our future moderation actions regarding this topic, completely clear. Six years ago at the beginning of the pandemic, we witnessed an incredible swell of activity from users not typically seen as participants within our community. Misinformation was plentiful and rife. As many of you recall, accusations of nurses harming or outright killing patients to create a 'plandemic' were unfortunately a dime a dozen. We were inundated with vaccine deniers, mask haters, and social distancing detractors. For every voice of reason from a flaired and long-standing contributor in our forum, there was at least one outside interloper here simply to argue. At that ju
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Please review our rules about conduct and submission guidelines before participating. 1. Treat others with respect A post or comment is deemed disrespectful if it includes discrimination, bigotry, prejudice, or harassment towards an individual or group of people. Remember and practice Rediquette 2. Posts are on-topic and relevant Posts must be: on topic and relevant; have clear and concise titles; contain accurate information from valid and reliable sources. Posts should not contain only an image or meme. 3. Links include a submission statement If you're sharing a link in a post, you must include a submission statement that explains the link's relevancy and purpose. 4. No spam Spam includes: a post containing a link or reference to an external source that does not include a submission statement; non-transparent product, publication, or personal blog promotion; Donors Choose and other fundraiser requests. The Reddit Education Network There is an incredible network of education and t
The paid subscription is soooo useful
Ten years strong Quizlet has never let me down. They remain accessible for students with minimal resources and never fail to provide much needed help. Absolute best network for students to help each other. Thank you Quizlet! Couldn’t do it without you! I’ll always love you. 🫶
My literal go to study app every time.
See Title
I have see assignments every day but it’s okay it works well unfortunately
I’m a student and it helps me a lot, but a bunch of times my work doesn’t send through or I don’t get the comments teachers said they sent and it won’t let me open an assignment anyways it isn’t the worst but if u can u should use a diff app to help w/ school
No
All bad reviews are edgy 12yrs who hate school
I’ve been using Google Classroom ever since I was in maybe 2 second grade I’ve really had no major problems with it although their are a couple of issues now and again now that I’m going into 9th grade I’ve found that through my 8th grade year that the calendar was very helpful. I do suggest one thing tho as a student I find it very annoying that old classes still pop up and I’d like the ability for students to got rid of old classes because at the moment only teachers are able to and half the time they don’t listen just an idea to think ab tho.
Worst platform ever
This is the best app in case your school computer dies in your phone is not dead And it’s good for trips so you can do your schoolwork on your phone
Meh
Could not be worse
Suck my dih this app is trash
Generally, this app does the job. But the bugs are very annoying. For example, I finished module six in my class and this prerequisite opened up module seven on my iPad. But on my iPhone, module seven is still locked up. The PDF viewer on the app does not allow zooming in and so does not work very well on iPhones because the text is too small. Finally, logging into this program is very annoying, because NNU has so many different sites to login. Is it canvas? Is it instructure? Is it NNU?
The amount of times the widget only shows me assignments that are no longer able to be accessed is insane. And when I physically go in to mark those assignments done, it doesn’t show me what’s coming up next. It only shows assignments that are past due. And half the time, it won’t let you mark assignments as completed.
Nice to have school things on my personal device so I don’t need to use my school laptop and it sends me notifications 4 important stuff, email teachers, yeah it’s pretty great. If you have this website at school I suggest also downloading the app, helpful.
Please fix the notifications. I receive notifications that an assignment has been graded, but when I tap the notification banner, the app opens and just keeps loading. The grade never appears, so I have to find it manually. This has been happening consistently and is very frustrating.
Google classroom was better
I hate doing math you can not learn anything
Look for yourself!!!
It helps a lot of students