Economic inequality and academic perseverance: Evidence from 73 countries
British Journal of Educational Psychology, EarlyView.Abstract Background Academic perseverance is important for educational success, yet research has focused mainly on individual and proximal environmental factors, with limited attention to broader socioeconomic contexts. Aims This study examined whether national economic inequality was associated with students' academic perseverance and whether this ...
Yifan Wang, Yanru Liu, Dennis Alonzo
wiley +1 more source
Hidden Markov model analysis of fluorescence blinking in fluorescently labeled DNA. [PDF]
Sci RepFuruta T +7 more
europepmc +1 more source
British Journal of Educational Technology, EarlyView.Abstract While generative AI (GenAI) tools are emerging as educational resources, general‐purpose applications like ChatGPT are not explicitly designed to support the metacognitive and socio‐emotional dimensions of learning, often failing to address students' emotional states or promote independent thinking. In response, this study introduces a CVT‐SRL
Elena‐Alexandra Diordiev +2 more
wiley +1 more source
Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement
Geophysical Monograph Series, Page 27-82., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm +2 more
wiley +1 more source
Correction: Predicting nodal metastasis progression of oral tongue cancer using a hidden Markov model in MRI. [PDF]
Front OncolGang Q, Feng J, Kauczor HU, Zhang K.
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Modeling Peak Expiratory Flow in Patients With Asthma and Quantifying Treatment Effects Using a Mixed-Effects Hidden Markov Model. [PDF]
CPT Pharmacometrics Syst PharmacolJakobsson L +4 more
europepmc +1 more source
Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source
Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions. [PDF]
Front PsycholFeng Z, Huang K.
europepmc +1 more source
Quantitative analysis of peroxisome tracks using a Hidden Markov Model. [PDF]
Sci Rep, 2023 Svensson CM +5 more
europepmc +1 more source