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.
BackgroundEarly clinical exposure and student participation in research are important components of medical training. They may support learning motivation, evidence literacy, and self-directed learning. In many programmes, however, clinical training and research training remain separated. Few studies have explained, within a real teaching team, how learners turn clinical phenomena into researchable questions and how research participation can reshape their clinical understanding. Early Clinical and Research Training (ECART) is a clinical-research integration approach developed by an orthopaedic team at the Second Hospital of Shandong University. MethodsWe conducted a theory-informed, interpretivist qualitative single-case study. The case was an orthopaedic clinical-research team at the Second Hospital of Shandong University. Participants included medical undergraduates, academic degree graduate students, professional degree graduate students, clinical teachers, and research platform le
Birth preparedness is a critical strategy aimed at promoting safe childbirth by encouraging pregnant women and their families to create thoughtful birth plans and prepare for potential complications. This approach ensures timely access to skilled maternity and health care services, which are essential for reducing maternal mortality. This study assessed the factors influencing birth preparedness among pregnant women attending Antenatal Care Clinics at the Regional Referral Hospital in Makeni City, Sierra Leone. A probability sampling method was used to select 112 pregnant women, and data were collected during 2023 with a structured questionnaire, using the Matturie Birth Preparedness Scale, as uniquely designed and prepared for this study. The collected data were analyzed using STATA software (version 14.0). Our findings revealed significant gaps in birth preparedness: 83.0% of respondents were unaware of their expected delivery date, 79.5 % did not register for antenatal care in their
In accordance with the Paperwork Reduction Act (PRA) of 1995, the Department is proposing an extension without change of a currently approved information collection request (ICR).
In coordination with the Bureau of Educational and Cultural Affairs at the U.S. Department of State (State), the U.S. Department of Education (ED) is soliciting applications in support of the administration of the Fiscal Year (FY) 2026 Centers Aligned with Areas of National Need program, Assistance Listing Number 84.015C.
ObjectivesValue-Based Health Care (VBHC) increasingly guides health system redesign internationally. Despite the increasing availability of VBHC education, gaps remain between health professionals conceptual understanding of VBHC and their confidence to implement it in practice. This study assessed perceived learning needs and preferences of healthcare professionals across foundational topics essential to VBHC implementation. DesignCross-sectional online survey study Setting and participantsThe survey was distributed to the global VBHC community and yielded 518 responses. Most respondents were based in the UK and Ireland (51%) and 65% had more than 10 years of experience in the health sector. Participants represented a variety of professional backgrounds, including clinicians (34%), operational or executive managers and leaders (22%), and life sciences or procurement professionals (13%). Primary and secondary outcome measuresPrimary outcome measures included self-reported interest and
IntroductionIn-hospital cardiac arrest carries high mortality despite standardized ACLS training. Educators face increasing time constraints in developing assessment tools for ACLS training. Two possible solutions to this problem are using pre-medical students or using artificial intelligence to generate test questions. This study compared the quality of pre-medical student-generated ACLS test questions vs. AI-generated ACLS test questions, testing the hypothesis that AI-generated questions are non-inferior to student-generated questions. MethodsTen pre-medical students created ACLS questions following predefined criteria, while an AI model (Northwells Artificial Intelligence Hub) generated comparable questions. A blinded ACLS-certified physician evaluated questions on the qualities of Alignment, Clarity, Cognitive Level, and Question Design using a standardized rubric (Likert scale: 1 = poor quality, 5 = excellent). Students T-test and Chi-square analysis were used to compare the qual
As the National Science Foundation starts giving out fewer grants, people worldwide will potentially lose out from potential research findings that could help improve their lives.
In accordance with the Paperwork Reduction Act (PRA) of 1995, the Department is proposing a reinstatement without change of a previously approved information collection request (ICR).
In accordance with the Paperwork Reduction Act (PRA) of 1995, the Department is proposing a revision of a currently approved information collection request (ICR).
This notice sets forth the agenda, time, and instructions to access or participate in the July 22 & 23, 2026, meeting of NACIQI, and provides information to members of the public regarding the meeting, including requesting to make written or oral comments. Committee members will meet in-person. Agency representatives have the option to meet in-person or virtually, and public attendees will participate virtually. The notice of this meeting is required under 5 U.S.C. Chapter 10 (commonly known as the Federal Advisory Committee Act) and Section 114(d)(1)(B) of the Higher Education Act (HEA) of 1965, as amended.
The Secretary announces the annual updates to the ICR plan formula for 2026 to give notice to borrowers and the public regarding how monthly ICR payment amounts will be calculated for the 2026-2027 year under the William D. Ford Federal Direct Loan (Direct Loan) Program, Assistance Listing Number 84.063.
Democrats tend to give less than Republicans when it comes to earmarked funding for universities – but they give more to minority-serving institutions.
In accordance with the Paperwork Reduction Act (PRA) of 1995, the Department is proposing an extension without change of a currently approved information collection request (ICR).
Nearly one-third of Philadelphia schools closed in 2013 still sit vacant while cyber charters banked millions in revenue.
Some states are trying to challenge a long-held precedent that undocumented children are allowed to attend public school free of charge.
BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems worldwide and medical schools worldwide have begun integrating AI into their curricula. The healthcare system in Iraq is currently undergoing development and AI has not yet been adopted in clinical practice in Erbil; in addition, no formal AI instruction has been incorporated into the medical education curriculum. The aim of this study was to assess knowledge levels, attitudes, and perceptions regarding AI among medical students and healthcare professionals in Erbil, Kurdistan Region of Iraq. MethodsA mixed-methods survey was distributed to medical students and residents in Erbil, Kurdistan Region of Iraq. The survey was adapted from Teng et al, and modified to reflect the local context. The survey was translated into Kurdish and Arabic. Convenience sampling was used. Statistical analysis was conducted using IBM SPSS (Statistical Package for Social Sciences), Version 26.0. Chi-square and Fishers e
BackgroundPostgraduate medical residents frequently face difficulty in selecting appropriate statistical tests and preparing statistical analysis plans (SAPs) for thesis work. Existing resources often identify statistical tests without guiding implementation, reporting or software execution. AimsTo describe the development, features and content validation of ChooseMyStat, a free, open-source, web-based interactive tool for statistical test selection and SAP text generation in clinical research. MethodsChooseMyStat was developed as a React-based web application using an iterative, AI-assisted development process under direct faculty supervision. The tool uses a branching decision algorithm covering 18 inferential statistical tests, two diagnostic accuracy measures, four agreement/reliability statistics, and four descriptive statistics scenarios. For each recommendation, it generates a SAP template paragraph, a results reporting example, step-by-step JASP instructions, and R code. Conten
Many Black teachers were pushed out of classrooms from the 1950s through ‘70s. Despite new recruitment programs, the teacher workforce remains mostly white.
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A series of racist costume parties at Bowdoin shows the contradiction colleges have to navigate – encouraging open, reasoned debate, while creating a safe campus for all students.
After my niece died by suicide, I began researching how Chinese immigrant families feel about their children’s mental health and why they often avoid care.
Title IX’s language is clear that the 1972 law does not cover the admissions decisions private colleges and universities make.
Systematic Review (SR) is a prosperous study type in modern medicine and beyond. Many SR authors complement their primary database searches by supplementary techniques. Among these, citation-based techniques known as citation searching (CS) are widespread. Unranked Direct CS (UDCS) to identify directly cited and citing literature of seed references is currently most prevalent. Ranked (In)direct CS (RICS) additionally collects co-cited and co-citing literature combined with a ranking and cut-off procedure. However, RICS workflows remain non-standardized and tedious, and associated benefits unclear. This work aims to create a framework for the prospective international comparison of supplementary UDCS and RICS. To prime RICS research, we developed the open-source Co*Citation Network application and assessed parallel supplementary UDCS and RICS retrospectively in three completed SRs and prospectively in one case study. Automated RICS collected and ranked cited, citing, co-cited, and co-ci
Participatory qualitative methods such as Photovoice are increasingly used to link research with social action. Recent advances in artificial intelligence (AI) may enhance data analysis, inference, and action planning within such participatory approaches. This study explored medical students perceptions of social justice using conventional Photovoice analysis and assessed the potential contribution of generative AI (genAI). Nine students joined a six-week seminar, "Exploring the Concept of Social Justice Using Photovoice." An initial two-hour session covered ethics, the Photovoice framework, and photography techniques. Participants then captured images reflecting their views on social justice, wrote narratives, and engaged in guided group discussions. Human researchers and students conducted a three-stage Photovoice analysis: 1) selecting photographs, 2) contextualizing them with participant narratives, and 3) inductively coding themes. To explore how AI might support data analysis, th
ObjectivesElectronic Health Records (EHRs) impose a significant time burden on physicians, often requiring work to be completed outside of scheduled hours. While this burden is well-documented, how it evolves throughout emergency medicine (EM) residency remains poorly understood. This study aimed to quantify EHR usage patterns, analyze the composition of after-shift work, and characterize the development of EHR efficiency across EM training. MethodsWe conducted a retrospective cohort study of EM residents (postgraduate year [PGY] 1-4) using 5.5 years of EHR audit log data (2020-2025) at a single academic institution. We analyzed EHR time per new patient encounter, stratified by postgraduate year, and categorized activities into domains such as documentation, chart review, and orders. EHR work was measured both during and after scheduled shifts. ResultsThe analysis included 144 unique residents and 167,010 new patient encounters across 15,386 shifts. Encounter-attributed EHR time per en
IntroductionEarly exposure to otolaryngology (ENT) procedural skills in undergraduate medical education is limited by patient safety concerns, restricted clinical opportunities, and the cost of commercial simulators. As a result, essential ENT skills are often underrepresented in structured, hands-on curricula for medical students. MethodsWe developed a low-cost, multistation ENT simulation curriculum consisting of five reproducible task trainers: ear examination and otologic procedures, mirror laryngoscopy, rigid and flexible endoscopic navigation, introductory mastoid drilling, and emergency cricothyrotomy. The curriculum was delivered as a 2-hour, faculty-led workshop during a third-year medical student otolaryngology rotation. Learners rotated through stations in small groups. Pre- and post-workshop surveys assessed self-reported anatomical familiarity, procedural confidence, and educational value using a 5-point Likert scale, with additional qualitative feedback collected. Results
It’s no longer uncommon for scheduled university commencement speakers to have their invitations rescinded following backlash over their politics.
A new memo blocks graduate students from writing theses or dissertations on certain topics, raising questions about academic freedom and the purpose of higher education.
OBJECTIVESTo examine whether psychological safety and power distance are associated with medical researchers well-being, and whether these associations operate through team inclusiveness and conflict. DESIGNCross-sectional survey study. SETTINGA biomedical research institute at a major UK university. PARTICIPANTS133 medical researchers from 17 teams, including 20 principal investigators and 113 team members. MAIN OUTCOME MEASURESJob satisfaction, life satisfaction, intrinsic motivation, and psychological detachment. Mediators were dimensions of team inclusiveness and team conflict. RESULTSPsychological safety had no significant direct associations with job satisfaction, life satisfaction, intrinsic motivation, or psychological detachment, but showed several indirect associations through researchers team experiences. It was indirectly associated with higher job satisfaction, life satisfaction, and intrinsic motivation primarily through greater integration of differences, inclusion in de
Exaggerating phrases and talking in a sing-song way can actually help, not make it harder, for young children to master speaking a language.
BackgroundMedical residents and physicians face high rates of burnout, psychological distress, and impaired professional functioning. Big Five personality traits are stable characteristics that may explain variation in vulnerability and coping, but evidence in this population remains inconsistent. We aimed to synthesise associations between Big Five traits and stress-related outcomes, coping, and performance in medical residents and physicians. MethodsSystematic review and meta-analysis (PROSPERO CRD42023483408). PubMed, Embase, MEDLINE (Ovid), Cochrane Library, Scopus, and Web of Science were searched from inception to November 15, 2023, updated through January 2026. Eligible studies were primary research in English involving medical residents and/or practising physicians, assessing at least one Big Five trait and a validated measure of stress, coping, or performance. Two reviewers independently screened records; data were extracted by one reviewer and checked by a second. Risk of bia
Accurate and objective evaluation of surgical skill and performance is critical for advancing training and improving patient outcomes. Current assessment methods increasingly rely on video analytics and depend on labor-intensive, frame-by-frame manual annotation by experts. In this work we developed a surgical video annotation platform (AnnotX) that used a Python backend running a pretrained promptable video segmentation foundation model, i.e., Segment Anything 3 (SAM 3) for per frame segmentation and temporal segment propagation. With a few interactions per class, the model generated a high-quality mask on a key frame and propagated it through the sequence. The platform automatically exported per-class binary masks and color overlays for every frame, together with deterministic metadata and a standardized study folder structure to support auditability and downstream analysis. On deidentified laparoscopic surgery videos, the system processed typical clips in minutes and reduced expert
M.D.-Ph.D. programs in the United States have traditionally followed a "2-n-2" curricular model, with the graduate phase occurring between the pre-clerkship and clerkship portions of medical training. While well established, this format can limit trainee autonomy in shaping their physician-scientist training trajectories. In response, some programs have introduced a "3-n-1" model, allowing students to complete clerkships before beginning Ph.D. training. Our institution implemented multiple flexible curricula in 2017. Understanding why trainees choose one pathway is important as programs consider implementing more adaptable training structures. To investigate these factors, we surveyed M.D.-Ph.D. students at our institution, which offers multiple flexible curricular alternatives, about contributions to their curricular decisions. Responses supported that trainees weigh considerations across medical education, scientific development, and integrated physician-scientist training domains. A
Most American adults will say that they most valued teachers who really knew them, cared about them and made learning relevant to their lives.
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