Evaluation Models

10.1002/ev.1 ◽  
2001 ◽  
Vol 2001 (89) ◽  
pp. i ◽  
Keyword(s):  
Evaluation Models

scholarly journals Online Professional Learning in Response to COVID-19—Towards Robust Evaluation

2021 ◽  
Vol 13 (3) ◽  
pp. 56
Author(s):  
Alireza Ahadi ◽  
Matt Bower ◽  
Abhay Singh ◽  
Michael Garrett
Keyword(s):  
Professional Development ◽  
Teacher Perceptions ◽  
Teacher Professional Development ◽  
Professional Learning ◽  
Background Information ◽  
Evaluation Approach ◽  
Online Mode ◽  
Evaluation Models ◽  
Teacher Professional ◽  
Workshop Evaluation

As COVID-19 continues to impact upon education worldwide, systems and organizations are rapidly transiting their professional learning to online mode. This raises concerns, not simply about whether online professional learning can result in equivalent outcomes to face-to-face learning, but more importantly about how to best evaluate online professional learning so we can iteratively improve our approaches. This case study analyses the evaluation of an online teacher professional development workshop for the purpose of critically reflecting upon the efficacy of workshop evaluation techniques. The evaluation approach was theoretically based in a synthesis of six seminal workshop evaluation models, and structured around eight critical dimensions of educational technology evaluation. The approach involving collection of pre-workshop participant background information, pre-/post-teacher perceptions data, and post-workshop focus group perceptions, enabled the changes in teacher knowledge, skills, and beliefs to be objectively evaluated, at the same time as providing qualitative information to effectively improve future iterations of the workshops along a broad range of dimensions. The evaluation approach demonstrated that the professional learning that was shifted into online mode in response to COVID-19 could unequivocally result in significant improvements to professional learning outcomes. More importantly, the evaluation approach is critically contrasted with previous evaluation models, and a series of recommendations for the evaluation of technology-enhanced teacher professional development workshops are proposed.

scholarly journals Discrepancy evaluation models in physics project based learning of student entrepreneurship character

2021 ◽  
Vol 1918 (2) ◽  
pp. 022042
Author(s):  
S Jumini ◽  
A Rusilowati ◽  
S Sutikno ◽  
E Cahyono ◽  
P Parmin ◽  
...  
Keyword(s):  
Project Based Learning ◽  
Student Entrepreneurship ◽  
Evaluation Models

Shadow Prices in Public Program Evaluation Models

1974 ◽  
Vol 88 (1) ◽  
pp. 158
Author(s):  
Corry F. Azzi ◽  
James C. Cox
Keyword(s):  
Program Evaluation ◽  
Shadow Prices ◽  
Public Program ◽  
Evaluation Models

Research and Application on the Research Innovation Ability of the Graduate Student Based on the Fuzzy Neural Network

2014 ◽  
Vol 687-691 ◽  
pp. 2909-2912 ◽  
Author(s):  
Liang Hu ◽  
Gan Lan Yan ◽  
Long Li
Keyword(s):  
Innovation System ◽  
Scientific Research ◽  
Indicator System ◽  
High Tech ◽  
Design Work ◽  
Independent Innovation ◽  
System A ◽  
Evaluation Models ◽  
Fuzzy Neural ◽  
Innovation Ability

During the course of building an innovative country and enhancing the independent innovation capability, universities are the main force and the important source of high-tech innovation. The evaluation on the university's innovation ability, not only may improve university's efficiency and level of scientific research, but also make a significant sense to perfect the china' scientific research innovation system. Based on Referring to the recent research achievements at home and abroad, research and design work was carried out in the following area. Firstly, the multi-university research innovation ability evaluating indicator system is designed in this paper. By the principle of science and justice, through questionnaires, expert opinion and reference to relevant research results. The paper designed the multi-university's research innovation ability evaluating indicator system. A variety of typical evaluation models and methods are studied. Then two evaluation models between PCA-BP and PCA-FNN are taken into comparison. And the results show that the research and application of PCA-FNN is proved to be a new method and made a significant attempt for the university’s evaluation of research innovation ability.

Application of Combination Evaluation for Academic Title Evaluation

2011 ◽  
Vol 50-51 ◽  
pp. 756-760
Author(s):  
Bao Feng Li ◽  
Jing Guo Qu ◽  
Pu Yu Hao
Keyword(s):  
Associate Professor ◽  
Topsis Method ◽  
Entropy Weight ◽  
Base Points ◽  
Subjective Weight ◽  
Evaluation Models ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Double Base

In this paper, using the relevant data of 34 teaching staffs who participate in the academic title evaluation of associate professor in 2010, firstly it introduces the entropy weight method, Topsis method with subjective weight, Topsis method with objective weight and double base points method with subjective weight to evaluate and sort the performance of 34 teaching staffs. Secondly, two combination evaluation models are constructed to do the same work and the conclusions are more science and rational.

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