AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
This article investigates the impact on learning of generic feedback provided automatically after online selected response questions, such as multiple-choice or extended matching questions.
Dermo, John, Carpenter, Liz
core
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Use of the Team-Based Learning Readiness Assessment Test as a Low-Stakes Weekly Summative Assessment to Promote Spaced and Retrieval-Based Learning. [PDF]
Bauler TJ, Sheakley ML, Ho A.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Effects of formative-summative assessment weight configurations on evaluation validity and discriminatory power in landscape architecture planning and design courses. [PDF]
Dong D, Chen M, Zhang S, Chen Y, Ji F.
europepmc +1 more source
The Use of Multiple Choice Tests for Formative and Summative
This paper describes the use of multiple-choice tests as an essential part of the assessment for a third-year undergraduate course in computer science. Multiplechoice tests are yesterday's news -- they have been used for student assessment for many ...
Assessment Tim Roberts
core
Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song +8 more
wiley +1 more source
Evaluation of modified essay questions (MEQs) as an assessment tool in third-year medical students' modular summative assessment. [PDF]
Elsamanoudy A +3 more
europepmc +1 more source
Summative Assessment across three countries
This article builds upon the themes discussed during the panel held at the conference, which focused on summative assessment. During the panel, three researchers—Drijvers, Lemmo and Weigand—presented information on three countries (Italy, the Netherlands,
Hans-Georg Weigand +3 more
core

