Results 181 to 190 of about 402,431 (257)

Health professions students' acceptance and readiness for learning analytics: lessons for educators. [PDF]

BMC Med Educ
Hussan F, Er HM, Nadarajah VD.
europepmc   +1 more source

Goal-oriented student motivation in learning analytics: How can a requirements-driven approach help? [PDF]

Educ Inf Technol (Dordr), 2022
Talbi O, Ouared A.
europepmc   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Exploring the Transformative Potential of Learning Analytics in Medical Education: A Systematic Review. [PDF]

J Adv Med Educ Prof
Toofaninejad E, Dawson S, Sohrabi S, Kalantarion M.   +3 more
europepmc   +1 more source

Empowering Health Care Education Through Learning Analytics: In-depth Scoping Review.

J Med Internet Res, 2023
Bojic I, Mammadova M, Ang CS, Teo WL, Diordieva C, Pienkowska A, Gašević D, Car J.   +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]

Front Artif Intell, 2023
Brass T, Kennedy J, Gabriel F, Neill B, Devis D, Leonard SN.   +5 more
europepmc   +1 more source

An Adaptive Human Pilot Model With Reaction Time Delay for Enhanced Adaptive Control in Piloted Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
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]

Arthritis Res Ther
Gossec L, Balanescu A, D'Agostino MA, Ogdie A, Sewerin P, Deng Y, Shi L, Sugimoto Y, Zhong S, Xing Y, Lippe R, Kishimoto M.   +11 more
europepmc   +1 more source

Image interpretation: Learning analytics-informed education opportunities. [PDF]

AEM Educ Train, 2021
Thau E, Perez M, Pusic MV, Pecaric M, Rizzuti D, Boutis K.   +5 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source