Quality Evaluation Models

2014 ◽  
pp. 91-120
Author(s):  
Pedro Isaias ◽  
Tomayess Issa
Keyword(s):  
Quality Evaluation ◽  
Evaluation Models

Technological Evaluation and Optimization of E-Learning Systems Components

2011 ◽  
pp. 150-173 ◽  
Author(s):  
Eugenijus Kurilovas ◽  
Valentina Dagiene
Keyword(s):  
Quality Evaluation ◽  
Evaluation Criteria ◽  
Learning Objects ◽  
Learning Systems ◽  
Main Research ◽  
Evaluation Models ◽  
E Learning ◽  
Multiple Criteria Evaluation ◽  
Technological Evaluation ◽  
Learning Software

The main research objective of the chapter is to provide an analysis of the technological quality evaluation models and make a proposal for a method suitable for the multiple criteria evaluation (decision making) and optimization of the components of e-learning systems (i.e. learning software), including Learning Objects, Learning Object Repositories, and Virtual Learning Environments. Both the learning software ‘internal quality’ and ‘quality in use’ technological evaluation criteria are analyzed in the chapter and are incorporated into comprehensive quality evaluation models. The learning software quality evaluation criteria are further investigated in terms of their optimal parameters, and an additive utility function based on experts’ judgements, including multicriteria evaluation, numerical ratings, and weights, is applied to optimize the learning software according to particular learners’ needs.

An Execution Framework for Domain-Oriented QoS Evaluation of Manufacturing Cloud Services

2014 ◽  
Vol 596 ◽  
pp. 127-130
Author(s):  
Hong Jin ◽  
Xi Fan Yao ◽  
Jie Zhang
Keyword(s):  
Quality Evaluation ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
User Needs ◽  
Evaluation Models ◽  
Virtualization Technology ◽  
Function Modules ◽  
Service Quality Evaluation ◽  
Manufacturing Resources ◽  
Qos Evaluation

Cloud manufacturing is emerging as a new intelligent and collaborative manufacturing model. With the development of virtualization technology, the manufacturing resources can be encapsulated as manufacturing cloud services (MCSs). The accuracy of service quality evaluation is the key to selecting a MCS from many available ones with similar functions but different QoS, but existing QoS evaluation models only focuses on common service attributes, which cannot meet user needs. Hence, this paper presents an execution framework for domain-oriented QoS evaluation for MCSs. Four function modules for domain-oriented QoS evaluation of MCSs were analyzed, and the involving key technologies were discussed as well.

scholarly journals Service Quality Evaluation Models Determined by Online Consumer Perception and Satisfaction

2014 ◽  
Vol 109 ◽  
pp. 1303-1308 ◽  
Author(s):  
Maria-Cristiana Munthiu ◽  
Bogdan Călin Velicu ◽  
Mihaela Tuţă ◽  
Adina Iulia Zara
Keyword(s):  
Service Quality ◽  
Quality Evaluation ◽  
Consumer Perception ◽  
Evaluation Models ◽  
Service Quality Evaluation ◽  
Online Consumer

scholarly journals Quality evaluation of educational multimedia systems

1998 ◽  
Vol 14 (2) ◽  
Author(s):  
Binh Pham
Keyword(s):  
Quality Evaluation ◽  
Multimedia Systems ◽  
Effective Learning ◽  
Educational Multimedia ◽  
Insufficient Attention ◽  
Evaluation Models ◽  
Technical Issues

<span>Much effort has been spent on developing and producing multimedia systems, with insufficient attention to ensure their quality This paper discusses different aspects of quality evaluation of multimedia systems, covering both cognitive and technical issues. The evaluation is viewed from three main perspectives: the product itself, how the product is used and the impacts of the product. Some relevant evaluation models for effective learning - in particular, objective-based, decision-based, value-based and naturalistic approaches - are examined and adapted for the purpose.</span>

Quality-evaluation models and measurements

IEEE Software ◽  
2004 ◽  
Vol 21 (3) ◽  
pp. 84-91 ◽  
Author(s):  
J. Tian
Keyword(s):  
Quality Evaluation ◽  
Evaluation Models

Study on the Evaluation Model of Image Definition

2010 ◽  
Vol 20-23 ◽  
pp. 636-640 ◽  
Author(s):  
Guo Jin Chen ◽  
Miao Fen Zhu ◽  
Wan Qiang Wang ◽  
Yong Ning Li
Keyword(s):  
Image Quality ◽  
Real Time ◽  
Autocorrelation Function ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Change Rate ◽  
Image Quality Evaluation ◽  
Factors Affecting ◽  
Evaluation Models ◽  
Image Definition

At present, the usual image definition evaluation methods are poor in focusing precision and have a lot of calculations. In view of these problems, the paper analyzed the factors affecting an image quality evaluation, and proposed two evaluation models based on an image contrast change rate and an autocorrelation function. These methods avoided efficiently the phenomenon of partial peaks of focusing-function curves for noise disturbing. The stimulant test proves that the focusing curve of the evaluation model in the paper has many advantages, such as good focusing performance, strong antijamming ability, good real time and so on.

Software Quality Evaluation for Vehicle Based on Set Pair Theory

2015 ◽  
Vol 738-739 ◽  
pp. 1332-1337 ◽  
Author(s):  
Xiao Ying Liu ◽  
Jian Zhang
Keyword(s):  
Software Quality ◽  
Index System ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Practical Application ◽  
Connection Number ◽  
Software Quality Evaluation ◽  
Evaluation Models

A software quality evaluation method for vehicle based on set pair theory was proposed. The evaluating index system of software quality evaluation for vehicle was constructed. The software quality evaluation models were constructed by using four-element connection number of set pair theory. Then the computer-implemented method was given, and was verified by an example. Finally, the practical application showed that the evaluation method was simple, effective and had good practicality.

Evaluation model of classroom teaching quality based on improved RVM algorithm and knowledge recommendation

2020 ◽  
pp. 1-11
Author(s):  
Sun Qianna
Keyword(s):  
Quality Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Good Reliability ◽  
Experimental Teaching ◽  
Evaluation Models ◽  
Specific Factors ◽  
Quality Evaluation Model

The intelligent evaluation of classroom teaching quality is one of the development directions of modern education. At present, some teaching quality evaluation models have accuracy problems, and the evaluation process is affected by a variety of interference factors, which leads to inaccurate model results, and it is impossible to find out the specific factors that affect teaching. In order to improve the accuracy of classroom teaching quality evaluation, this study improves RVM based on the method of feature extraction and empirical modal decomposition of ACLLMD method, and establishes classroom theoretical teaching quality evaluation model and experimental teaching quality evaluation model based on RVM algorithm. Moreover, this study uses test data to analyze the accuracy and reliability of the evaluation results to verify the feasibility and reliability of the new method. In addition, this study verifies the reliability of this algorithm by comparing with the manual scoring results. The research results show that RVM can be used to construct classroom theory teaching quality evaluation models and experimental teaching quality evaluation models with high accuracy and good reliability.

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