Results 161 to 170 of about 8,467,026 (293)

Emotional and motivational experiences in teacher–student relationships and psychological need satisfaction during adolescence: A latent profile and latent transition analysis

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background Emotional and motivational aspects of teacher–student relationships are central to adolescents' psychological need satisfaction and academic development. However, few longitudinal studies examine how these relational experiences evolve during adolescence or co‐occur with emotional‐motivational functioning.
Fabian Schimmelpfennig, Diana Raufelder
wiley   +1 more source

Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement

open access: yesGeophysical 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

Prompt‐based emotional scaffolding in generative AI: Effects on self‐regulated learning and socio‐emotional outcomes

open access: yesBritish 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

Infinite hidden Markov models can dissect the complexities of learning. [PDF]

open access: yesNat Neurosci
Bruijns SA   +12 more
europepmc   +1 more source

Non-identifiability of the two state Markovian Arrival process [PDF]

open access: yes
In this paper we consider the problem of identifiability of the two-state Markovian Arrival process (MAP2). In particular, we show that the MAP2 is not identifiable and conditions are given under which two different sets of parameters, induce identical ...
Michael P. Wiper   +2 more
core  

A tutorial on Bayesian model averaging for exponential random graph models

open access: yesBritish 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

HMM in dynamic HAC models [PDF]

open access: yes
Understanding the dynamics of high dimensional non-normal dependency structure is a challenging task. This research aims at attacking this problem by building up a hidden Markov model (HMM) for Hierarchical Archimedean Copulae (HAC), where the HAC ...
Wolfgang Karl Härdle   +2 more
core  

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

open access: yesBritish 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 inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

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