Toward Psychometric Learning Analytics: Augmenting the Urnings Algorithm with Response Times
Abstract Adaptive learning systems (ALS) aim to tailor the educational material to match the student's needs, ultimately improving the learning outcomes. An ALS dynamically adjust the level of practice based on the student's ability; therefore, obtaining accurate ability estimates is crucial.
Bence Gergely, Maria Bolsinova
wiley +1 more source
Metastability and teleconnection of atmospheric circulation via hidden Markov models and network modularity. [PDF]
Mukhin D, Samoilov R, Hannachi A.
europepmc +1 more source
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes
ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
wiley +1 more source
Coordination effect and dynamic response of outdoor sports tourism network attention and tourism economic connection in China's Yangtze River Delta. [PDF]
Wang Y, Di J, Du J.
europepmc +1 more source
ABSTRACT Food fortification can deliver essential micronutrients to populations at a large scale, thereby reducing nutritional anemia. This study aimed to review and meta‐analyze the literature on the impact of wheat flour, maize flour, rice, and oil (singly or combined) fortification on women's (10–49 years) hemoglobin and anemia.
Andrea D. Dorbu +7 more
wiley +1 more source
The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation. [PDF]
Vrugt JA, Diks CGH.
europepmc +1 more source
Entropy rigidity for cusped Hitchin representations
Abstract We establish an entropy rigidity theorem for Hitchin representations of geometrically finite Fuchsian groups which generalizes a theorem of Potrie and Sambarino for Hitchin representations of closed surface groups. In the process, we introduce the class of (1,1,2)‐hypertransverse groups and show for such a group that the Hausdorff dimension of
Richard Canary +2 more
wiley +1 more source
Measurement of the development level of tea tourism integration, spatiotemporal evolution and obstacle factors in China. [PDF]
Yang Z, Wang X, Xiao J.
europepmc +1 more source
Generative Deep Learning for Advanced Battery Materials
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source

