The Importance of Straight Data: Simplicity and Desirability for Good Model-Building Practice

2011 ◽  
pp. 45-54
Keyword(s):  
Model Building ◽  
Building Practice

scholarly journals Building a practice-oriented model of pre-service teacher education

2020 ◽  
Vol 87 ◽  
pp. 00094
Author(s):  
Oksana Pavlova ◽  
Natalia Chirkova ◽  
Irina Burlakova
Keyword(s):  
Creative Thinking ◽  
Model Building ◽  
Professional Community ◽  
Educational Practice ◽  
Visual Image ◽  
University Graduates ◽  
The University ◽  
Building Practice ◽  
Real Practice ◽  
Pre Service Teacher

The article analyses modern trends in the university graduates’ training based on a practice-oriented approach, which is interpreted as training focused on the specifics of solving pedagogical problems that arise in real practice. The world experience of practice-oriented educational practice aimed at the formation of a creative, thinking teacher is analysed. The author’s three-segment practice-oriented model of teacher training has been developed. The structural components of the model and the links between them are described: principles of model building (practice-oriented orientation, principles of flexibility, validity, compliance and integrativity); system-forming subjects (professional community, university and school); blocks (target, factorial, theoretical-methodological, content-technological, effective). The peculiarity of the visual image of the constructed model (fractal) is that each separate segment of the system retains the properties of the entire system, which means that at each level, target guidelines are preserved and the basic requirements for the preparation process are consistent with each other.

The sense of presence in virtual environments:

2003 ◽  
Vol 15 (2) ◽  
pp. 69-71 ◽  
Author(s):  
Thomas W. Schubert
Keyword(s):  
Virtual Environments ◽  
Coding Theory ◽  
Model Building ◽  
Self Report ◽  
Survey Study ◽  
Spatial Presence ◽  
Component Structure ◽  
Sense Of Presence ◽  
Being There ◽  
Measure Sense

Abstract. The sense of presence is the feeling of being there in a virtual environment. A three-component self report scale to measure sense of presence is described, the components being sense of spatial presence, involvement, and realness. This three-component structure was developed in a survey study with players of 3D games (N = 246) and replicated in a second survey study (N = 296); studies using the scale for measuring the effects of interaction on presence provide evidence for validity. The findings are explained by the Potential Action Coding Theory of presence, which assumes that presence develops from mental model building and suppression of the real environment.

Theoretical, methodological and practical issues of choice models

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta
Keyword(s):  
Discrete Choice ◽  
Model Building ◽  
Estimation Method ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Decision Makers ◽  
Model Formulation ◽  
Random Utility Maximization ◽  
The Relationship ◽  
Method Model

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation

Unconventional Play Fracture Characterization Through Orthorhombic Depth Model Building

2018 ◽  
Author(s):  
Guy Hilburn ◽  
Amit Pendharkar ◽  
William Keller ◽  
René Mott ◽  
Jorge Peinado ◽  
...  
Keyword(s):  
Model Building ◽  
Fracture Characterization

Using Wireline Formation Tester Pressure Survey to Validate and Fine-tune Model Building: A Case Study for a Multi-layered Mature Reservoir

2014 ◽  
Author(s):  
S. I. Badusha ◽  
A. M. Qamber ◽  
S. Al-Rashdan ◽  
A. Safar ◽  
A. Mahato ◽  
...  
Keyword(s):  
Model Building ◽  
Fine Tune

Machine Learning for Acute Toxicity Prediction Using High-Throughput Enzyme-Reaction Chip

2019 ◽  
Author(s):  
Qiannan Duan ◽  
Jianchao Lee ◽  
Jinhong Gao ◽  
Jiayuan Chen ◽  
Yachao Lian ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Toxicity ◽  
Model Building ◽  
Low Cost ◽  
Enzyme Reaction ◽  
Chemical Effect ◽  
Technological Innovations ◽  
Acute Toxicity Test ◽  
Toxicity Prediction ◽  
Traditional Understanding

<p>Machine learning (ML) has brought significant technological innovations in many fields, but it has not been widely embraced by most researchers of natural sciences to date. Traditional understanding and promotion of chemical analysis cannot meet the definition and requirement of big data for running of ML. Over the years, we focused on building a more versatile and low-cost approach to the acquisition of copious amounts of data containing in a chemical reaction. The generated data meet exclusively the thirst of ML when swimming in the vast space of chemical effect. As proof in this study, we carried out a case for acute toxicity test throughout the whole routine, from model building, chip preparation, data collection, and ML training. Such a strategy will probably play an important role in connecting ML with much research in natural science in the future.</p>

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