Conscientiousness facets and health behaviors: A latent variable modeling approach

2007 ◽  
Vol 43 (5) ◽  
pp. 1235-1245 ◽  
Author(s):  
Gareth E. Hagger-Johnson ◽  
Martha C. Whiteman
Keyword(s):  
Health Behaviors ◽  
Latent Variable ◽  
Latent Variable Modeling ◽  
Modeling Approach

scholarly journals Flow With an Intelligent Tutor: A Latent Variable Modeling Approach to Tracking Flow During Artificial Tutoring

2021 ◽  
Author(s):  
Hyeon-Ah Kang ◽  
Adam Sales ◽  
Tiffany A. Whittaker
Keyword(s):  
Latent Variable ◽  
Latent Class ◽  
Intelligent Tutoring System ◽  
Latent Class Model ◽  
Model Fitting ◽  
Latent Variable Modeling ◽  
Flow State ◽  
Modeling Framework ◽  
Modeling Approach ◽  
Comprehensive Survey

Increasing use of intelligent tutoring system (ITS) in education calls for analytic methods that can unravel students' learning behaviors. In this study we suggest a latent variable modeling approach to tracking flow during artificial tutoring. Flow is a mental state a student achieves when immersed in deep learning. Modeling latent flow helps identify when and how students flow during tutoring. The result of the model can also inform the functioning of ITS and provide instrumental information for designing interventions. Three latent variable models are considered to draw discrete inference on the flow state: the (i) latent class model, (ii) latent transition model, and (iii) hidden Markov model. For each of the models, we suggest practical model-fitting strategies, addressing the assumptions and estimation constraints. Using example data from Cognitive Tutor Algebra I, we show that each model provides unique and meaningful information about student's learning process. Through comprehensive survey of the models, we evaluate merits and drawbacks of each modeling framework and illuminate areas that need future development.

scholarly journals Independent contributions of neural and “higher-order” deficits to symptoms in Alzheimer's disease: A latent variable modeling approach

2006 ◽  
Vol 2 (4) ◽  
pp. 303-313 ◽  
Author(s):  
Rochelle E. Tractenberg ◽  
Paul S. Aisen ◽  
Myron F. Weiner ◽  
Jeffrey L. Cummings ◽  
Gregory R. Hancock
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Latent Variable ◽  
Higher Order ◽  
Latent Variable Modeling ◽  
Modeling Approach
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