Effect of Self-Directed Learning Module and Assessment on Learning of National Health Programme by Medical Undergraduates - A Mixed Methods Evaluation. [PDF]
Rajalakshmi M, Ganapathy K.
europepmc +1 more source
Towards a model for evaluating student learning via e-assessment
The need for practical tools to assess student learning at the course level is becoming a more pressing goal for all academic institutions. This is because learning assessment tools which monitor both student performance and conceptual change events that
Hench, Thomas, Whitelock, Denise
core
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
If we assess, will they learn? Students' perspectives on the complexities of assessment-for-learning. [PDF]
Dory V +4 more
europepmc +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Editorial: Cognitive Diagnostic Assessment for Learning. [PDF]
Zhan P, Li F, Jiao H.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Assessment of Learning Outcomes
Gary E, Loyd, Heidi M, Koenig
openaire +2 more sources
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Teacher-led versus student-led seminar blended with portfolio for "assessment of learning": An interventional study. [PDF]
Jagzape A, Jagzape TB.
europepmc +1 more source

