The Case for Games and Iconography in Multicultural Technology Training

2015 ◽  
pp. 173-182
Author(s):  
Vincent Ferravanti
Keyword(s):  
Technology Training

Faktor-faktor yang mempengaruhi good governance di Kelurahan Depok Sleman Yogyakarta

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Kurnia Ningsih
Keyword(s):  
Good Governance ◽  
Linear Regression Analysis ◽  
Technology Training ◽  
Simple Linear Regression ◽  
Business World ◽  
Managerial Values ◽  
Financial Governance ◽  
The Government ◽  
Quantitative And Qualitative Methods ◽  
Positive Effect

One important principles of good governance in public services is public participation. since good governance is a conception of a clean, democratic, and effective governmental administration, it regulate a synergistic and constructive relationship between the government, private business world and society. This research combines both quantitative and qualitative methods as mixed methods. Based on simple linear regression analysis results, it is found that technological training, participation in law and government, financial governance and assets and development of managerial values have a significant positive effect on implementation of good governance. The advice in this research is the application of technology training should be done effectively, with technological training to the employees themselves, especially in the use of computerization and internet in order to achieve tujuan that want to be achieved by trade and industry service.Keywords:good governance, technology training, participation in law and government

IAFECT™: a management tool to ensure effective technology training in the drinking water industry

2003 ◽  
Vol 3 (1-2) ◽  
pp. 449-454
Author(s):  
M.C. Steynberg ◽  
A. Vermeulen
Keyword(s):  
Return On Investment ◽  
Multidisciplinary Approach ◽  
Systematic Approach ◽  
Technology Training ◽  
Management Tool ◽  
Technical Competence ◽  
Water Industry ◽  
Training Environment ◽  
High Return ◽  
Effective Technology

For years training was evaluated with measures such as numbers of participants, number of programs, length of programs, cost of programs and content of programs. These input focused measures have to be replaced by output focused measures. The output focused measures include learning profile and whole brain approach for the learner, competency requirements for the job, management’s role before, during and after training as well as the competency of the trainer and the effectiveness of the training environment. However, to ensure that the highest possible scores for these measures can be achieved, a multidisciplinary approach is of paramount importance. The purpose of this article is to demonstrate the IAFECT™ management tool designed to ensure effective technology training. IAFECT™ is a systematic approach that involves all stakeholders. It focuses on technical competence and a high Return-On-Investment.

scholarly journals Older Adults’ Adaptations to the Call for Social Distancing and Use of Technology: Insights From Socioemotional Selectivity Theory and Lived Experiences

2021 ◽  
pp. 073346482199686
Author(s):  
Shoshana H. Bardach ◽  
Elizabeth K. Rhodus ◽  
Kelly Parsons ◽  
Allison K. Gibson
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Technology Training ◽  
Well Being ◽  
Socioemotional Selectivity Theory ◽  
Structured Interviews ◽  
Socioemotional Selectivity ◽  
Social Distancing ◽  
Use Of Technology ◽  
Comparison Approach

Social distancing guidelines during COVID can be isolating, especially for older adults, with potential for poor health outcomes. Technology offers opportunities for remote connection, yet, older adults’ use of and perspectives on technology during this time remain largely unknown. The purpose of this study was to gain insight into older adults’ technology use and preferences to inform the development of a technology training intervention to support older adult well-being. Semi-structured interviews were conducted with 30 older adults. Interviews were analyzed using an iterative, constant comparison approach. Findings were consistent with Socioemotional Selectivity Theory; respondents were primarily interested in technology to support emotionally meaningful goals. Participants indicated limited interest in technology training, referencing diminished future time perspectives to explain disinterest. Findings suggest that efforts to encourage older adults’ expanded technology adoption should highlight how use supports emotionally meaningful goals and provide low-effort, timely training, tied to specific and clear applications.

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