Predicting Network Behavior Model of E-Learning Partner Program in PLS-SEM
نویسندگان
چکیده
منابع مشابه
The effect of Shad Network e-learning program on teachers' efficiency and students' learning Improvement
The aim of this study was to investigate the effect of using a SHAD virtual education program on teachers chr('39')efficiency and studentschr('39') learning Improvement. The research is applied in terms of purpose and the research method is quasi-experimental with a control and experimental group. The statistical population includes the fifth grade elementary school female students of Gomishan ...
متن کاملThe effect of Shad Network e-learning program on teachers' efficiency and students' learning Improvement
The aim of this study was to investigate the effect of using a SHAD virtual education program on teachers chr('39')efficiency and studentschr('39') learning Improvement. The research is applied in terms of purpose and the research method is quasi-experimental with a control and experimental group. The statistical population includes the fifth grade elementary school female students of Gomishan ...
متن کاملLearning a Bayesian network model for predicting wildfire behavior
A Bayesian network (BN) model for predicting wildfire spreading was developed. From the available indicator variables related to weather, topography and land cover, the most informative were selected with the help of automatic structure learning algorithms. A final BN model was then constructed from these indicators using phenomenological reasoning. Automatic structure learning of the complete ...
متن کاملOrganizational Citizenship Behavior and Job Involvement of Indian Private Sector Employees Using Visual Pls–sem Model*
The organizational citizenship behavior (OCB), which is explained as a discretionary behavior of employees, is inevitable in the global competitive scenario, because organizations are highly competitive and their differentiation is primarily related to people. The organizational citizenship is considered as a “contextual performance”, which is related to the specific non-task aspects. Such a “s...
متن کاملSingle missing data imputation in PLS-SEM
An important source of bias in structural equation modeling (SEM) employing the partial least squares method (PLS) is missing data. Deletion methods, such as listwise and pairwise deletion, have traditionally been used to deal with missing data. These methods are perceived as leading to selective loss of data and significant related biases. Missing data imputation methods, on the other hand, do...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2020
ISSN: 2076-3417
DOI: 10.3390/app10134656