Goal-oriented student motivation in learning analytics: How can a requirements-driven approach help? [PDF]
Talbi O, Ouared A.
europepmc +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
Exploring the Transformative Potential of Learning Analytics in Medical Education: A Systematic Review. [PDF]
Toofaninejad E +3 more
europepmc +1 more source
Image interpretation: Learning analytics-informed education opportunities. [PDF]
Thau E +5 more
europepmc +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Efficacy of Risankizumab across distinct PsA phenotypes identified with machine learning analytics using data from biologic DMARD-Naïve patients in two phase 3 clinical trials. [PDF]
Gossec L +11 more
europepmc +1 more source
Empowering Health Care Education Through Learning Analytics: In-depth Scoping Review.
Bojic I +7 more
europepmc +1 more source
Learning analytics for lifelong career development: a framework to support sustainable formative assessment and self-reflection in programs developing career self-efficacy. [PDF]
Brass T +5 more
europepmc +1 more source
A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials
This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline +2 more
wiley +1 more source
Learning analytics and the future of postgraduate medical training. [PDF]
Shorten G.
europepmc +1 more source

