Results 171 to 180 of about 1,603 (207)

Optimizing Large‐Scale Mathematical Assessments: Leveraging Hierarchical Attribute Structures and Diagnostic Classification Models for Enhanced Student Diagnostics

Educational Measurement: Issues and Practice, Volume 45, Issue 2, Summer 2026.
Abstract Diagnostic classification models (DCMs) assess students’ mastery of cognitive attributes to provide personalized ability profiles. Retrofitting DCMs to large‐scale mathematics assessments usually relies on inferred Q‐matrices, which can reduce accuracy and diagnostic value.
Farshad Effatpanah, Olga Kunina‐Habenicht, Steve Bernard, Caroline Hornung, Philipp Sonnleitner   +4 more
wiley   +1 more source

Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus Autofluorescence. [PDF]

Ophthalmol Sci
Salvi A, Cluceru J, Gao SS, Rabe C, Schiffman C, Yang Q, Lee AY, Keane PA, Sadda SR, Holz FG, Ferrara D, Anegondi N.   +11 more
europepmc   +1 more source

Using Confidence Modeling to Optimize Overall Score Quality in Hybrid Scoring Systems

Educational Measurement: Issues and Practice, Volume 45, Issue 2, Summer 2026.
Abstract In large‐scale assessments, constructed response items are often scored using hybrid scoring systems, which combine human and automated scores. In this study, we augment automated scoring with confidence modeling to strategically route difficult‐to‐score responses for human review.
Alexander Kwako, Susan Lottridge, Christopher Ormerod   +2 more
wiley   +1 more source

One threat, two paths: A social identity model of age discrimination's asymmetric impact on older workers' knowledge seeking and sharing

Journal of Occupational and Organizational Psychology, Volume 99, Issue 2, June 2026.
Abstract Organizations risk losing invaluable expertise as the workforce ages, a problem exacerbated when age discrimination discourages older workers from sharing and seeking knowledge. Drawing on the workplace inclusion framework and work design theory, this study investigates a moderated mediation model where perceived age discrimination hinders ...
Fangfang Zhang, Lucinda Iles, Daniela Andrei, Leah Zoszak, Sharon K. Parker   +4 more
wiley   +1 more source

BOP2-TE: Bayesian optimal phase 2 design for jointly monitoring efficacy and toxicity with application to dose optimization. [PDF]

J Biopharm Stat
Chen K, Zhou H, Lee JJ, Yuan Y.
europepmc   +1 more source

Fast, Sure, and Right? Response Time and Confidence as Predictors of Accuracy Across Filler Selection Strategies and Culprit–Innocent Suspect Similarity

Applied Cognitive Psychology, Volume 40, Issue 3, May/June 2026.
ABSTRACT Increasing filler similarity to a suspect—beyond description matching—can improve lineup discriminability. We investigated the effects of suspect‐filler similarity on reflector variable‐accuracy calibrations across different levels of innocent suspect resemblance to the culprit. Match‐to‐description‐only lineups and description‐matched lineups
Dilhan Töredi, Steven D. Penrod
wiley   +1 more source

Survival and safety after neoadjuvant chemotherapy or upfront surgery for locally advanced colon cancer: meta-analysis. [PDF]

Br J Surg
Aliseda D, Arredondo J, Sánchez-Justicia C, Alvarellos A, Rodríguez J, Matos I, Rotellar F, Baixauli J, Pastor C.   +8 more
europepmc   +1 more source

Experimental Methods for Research into Trading of Greenhouse Gas Emissions [PDF]

R. Andrew Muller
core  

Plasma Proteomics Identifies Thousand‐and‐One–Amino Acid Kinase 3 as a Potential Biomarker of Rheumatoid Arthritis Activity and a Novel Therapeutic Target

Arthritis &Rheumatology, Volume 78, Issue 5, Page 1045-1061, May 2026.
Objective Bone destruction associated with active rheumatoid arthritis (RA) remains a major therapeutic challenge, with a lack of reliable molecular markers reflecting bone injury. This study aims to identify novel biomarkers linked to bone destruction in active RA through proteomic analysis, providing new strategies for precise monitoring and targeted
Pengfei Xin, Wenzhen Li, Xinyu A, Jun Shen, Xiaohui Meng, Yanqin Bian, Haihui Han, Zheng Xiang, Lei Ran, Songtao Sun, Jun Xie, Tao Yue, Qi Zhu, Xiaoming Zhang, Lu Xie, Lianbo Xiao   +15 more
wiley   +1 more source

Integrating Computational Thinking Into Immersive Construction Education: A Framework for VR‐Based Learning

Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.
ABSTRACT The rise of automation and robotics in construction demands educational shifts to develop core cognitive skills like computational thinking (CT). However, current learning environments often lack hands‐on, iterative problem‐solving opportunities due to safety, cost, and logistical constraints.
Rahat Hussain, Sharjeel Anjum, Yewande Abraham, Karen Rambo‐Hernandez, Abiola Akanmu, Chukwuma Nnaji   +5 more
wiley   +1 more source