Word Software Training

1986 ◽  
Keyword(s):  
Software Training

PENINGKATAN KEMAMPUAN BERSAING DI DUNIA KERJA DENGAN PELATIHAN SOFTWARE ZAHIR ACCOUNTING

Abdimisi ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 63
Author(s):  
Setianingsih Setianingsih ◽  
Napisah Napisah ◽  
Anisa Anisa ◽  
Endah Finatariani ◽  
Ita Darsita
Keyword(s):  
Community Service ◽  
General Purpose ◽  
Quality Of Education ◽  
Service Program ◽  
Software Training ◽  
Accounting Software ◽  
Accounting Major

Institution Awareness to the citizens in order to increase the quality of education is a part of Tri Dharma Perguruan Tinggi. To apply the program, it needs a plan. Community service program. The general purpose of this community service program is to increase the competency of citizens of RW 003 Babakan Village, Kelapa Dua, Setu, South Tangerang using Zahir Accounting Software training. The activity of this community service program entitled Computerized Accounting. The trainers and the source speakers are from the lecturers of Accounting Major of Pamulang University (Universitas Pamulang). The result conducted on November, 1,2,3 2019 was increasing their ability to use computer and computerized accounting with Zahir Accounting Software. The trainees was enthusiastic with the material they had from the lecturers of Accounting Major of Pamulang University (Universitas Pamulang). The trainees directly used the software.Zahir Accounting Software becomes an attention for the entrepreneurs who need accounting software to support financial noting in their business easily, fast and accurately, so by practicing Zahir Accounting Software will increase the citizens' competence to look for a job Keywords: Software Zahir Accounting ; Computerized Accounting

Online Behavior Modeling

2013 ◽  
pp. 210-225
Author(s):  
Charlie C. Chen ◽  
Terry Ryan ◽  
Lorne Olfman
Keyword(s):  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavior Modeling ◽  
Training Method ◽  
Perceived Ease Of Use ◽  
Online Behavior ◽  
Software Training ◽  
Near Transfer ◽  
Face To Face ◽  
Sufficient Power

Organizations need effective and affordable software training. In face-to-face settings, behavior modeling is an effective, but expensive, training method. Can behavior modeling be employed effectively, and more affordably, for software training in the online environment? An experiment was conducted to compare the effectiveness of online behavior modeling with that of face-to-face behavior modeling for software training. Results indicate that online behavior modeling and face-to-face behavior modeling provide essentially the same outcomes in terms of knowledge near transfer, immediate knowledge for transfer, delayed knowledge for transfer, perceived ease of use, perceived usefulness, and satisfaction. Observed differences were not significant, nor were their patterns consistent, despite sufficient power in the experimental design to detect meaningful differences, if any were present. These results suggest that organizations should consider online behavior modeling as a primary method of software training.

Online Behavior Modeling

2008 ◽  
pp. 1922-1937
Author(s):  
Charlie C. Chen ◽  
Terry Ryan
Keyword(s):  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavior Modeling ◽  
Perceived Ease Of Use ◽  
Online Behavior ◽  
Far Transfer ◽  
Software Training ◽  
Near Transfer ◽  
Face To Face ◽  
Sufficient Power

Organizations need effective and affordable software training. In face-to-face settings, behavior modeling (BM) is an effective, but expensive, training method. Can BM be employed effectively, and more affordably, for software training in the online environment? An experiment was conducted to compare the effectiveness of online BM with that of face-to-face (F2F) BM for software training. Results indicate that online BM and F2F BM provide essentially the same outcomes in terms of knowledge near transfer, immediate knowledge far transfer, delayed knowledge far transfer, perceived ease of use, perceived usefulness and satisfaction. Observed differences were not significant, nor were their patterns consistent, despite sufficient power in the experimental design to detect meaningful differences. These results suggest that organizations should consider online BM as a primary method of software training.

scholarly journals Automated Wormscan

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 192 ◽  
Author(s):  
Timothy Puckering ◽  
Jake Thompson ◽  
Sushruth Sathyamurthy ◽  
Sinduja Sukumar ◽  
Tirosh Shapira ◽  
...  
Keyword(s):  
Large Scale ◽  
Moving Objects ◽  
Low Cost ◽  
Automated System ◽  
Software Training ◽  
Robust Identification ◽  
Labour Costs ◽  
Difference Images ◽  
Rapid Data Acquisition

There has been a recent surge of interest in computer-aided rapid data acquisition to increase the potential throughput and reduce the labour costs of large scale Caenorhabditis elegans studies. We present Automated WormScan, a low-cost, high-throughput automated system using commercial photo scanners, which is extremely easy to implement and use, capable of scoring tens of thousands of organisms per hour with minimal operator input, and is scalable. The method does not rely on software training for image recognition, but uses the generation of difference images from sequential scans to identify moving objects. This approach results in robust identification of worms with little computational demand. We demonstrate the utility of the system by conducting toxicity, growth and fecundity assays, which demonstrate the consistency of our automated system, the quality of the data relative to manual scoring methods and congruity with previously published results.

The end of software training ?

2008 ◽  
Vol 16 (4) ◽  
pp. 366-375 ◽  
Author(s):  
J.J.G. Van Merrienboer
Keyword(s):  
Software Training

Building Information Modeling (BIM) in Higher Education Based on Pedagogical Concepts and Standardised Methods

2017 ◽  
Vol 6 (1) ◽  
pp. 35-50 ◽  
Author(s):  
Eilif Hjelseth
Keyword(s):  
Higher Education ◽  
Integrated Design ◽  
Relevant Information ◽  
Information Modeling ◽  
Support Design ◽  
Software Training ◽  
Pedagogical Content ◽  
Building Information Model ◽  
Building Information ◽  
Pedagogical Frameworks

The implementation of BIM in higher education (HE) curricula for architecture and engineering is limited and does not meet the demand for competency in the industry. BIM education is mostly initiated by enthusiasts offering software training in isolated courses. The transfer of educational experiences is limited and partial. This conceptual paper explores the use of pedagogical frameworks to enable the systematic implementation of BIM in higher education. The following pedagogical frameworks are explored: (a) Integrated Design and Delivery Solutions (IDDS), (b) Technological Pedagogical Content Knowledge (TPACK), and (c) Trinity of BIM as building information model/ -modelling/ -management (BIM3P). BIM-related methods are connected to the pedagogical framework to illustrate applicable implementation. This enable BIM to be integrated into most architecture and engineering subjects without separate training in software. Focus is given to understanding relevant information to support design and fact-based decisions. The approach is learning BIM for learning architecture and engineering.

Prediction of Top-Coal Caving and Drawing Characteristics Using Artificial Neural Networks in Extremely Thick Coal Seam

2015 ◽  
Vol 743 ◽  
pp. 612-616 ◽  
Author(s):  
J.H. Yu ◽  
De Bing Mao
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Coal Seam ◽  
Network Model ◽  
Mining Area ◽  
Software Training ◽  
Thick Coal Seam ◽  
Mining Depth ◽  
Training Samples ◽  
Artificial Neural

Based on the feature of large thickness and poor drawing characteristics in extremely thick coal seam top-coal caving method, combined with numerous practical examples analyses, the primarily six factors influence the drawing characteristics were found out which are mining depth, coal seam strength, joint crack development, parting thickness in top-coal, caving ratios, immediate roof filling coefficient. According to 45 typical top-coal caving in extremely thick coal seam samples, the prediction of top-coal caving and drawing characteristics based on artificial neural networks was established and training samples and testing samples was determined. Use SPSS statistical software training the network model. Then select No. 9 coal seam first mining area of Tiaohu mine as the application case. The drawing property was forecast according to the established network model. Application results show that the use of artificial neural networks for top-coal caving and drawing characteristic prediction is effective and feasible.

scholarly journals Process is King: Evaluating the Performance of Technology-mediated Learning in Vocational Software Training

2018 ◽  
Vol 33 (3) ◽  
pp. 233-253 ◽  
Author(s):  
Matthias Söllner ◽  
Philipp Bitzer ◽  
Andreas Janson ◽  
Jan Marco Leimeister
Keyword(s):  
Quantitative Methods ◽  
The Body ◽  
Mediated Learning ◽  
Research Model ◽  
Holistic Model ◽  
Software Training ◽  
Qualitative And Quantitative Methods ◽  
Prior Literature ◽  
Major Trend ◽  
Process Perspective

Technology-mediated learning (TML) is a major trend in education, since it allows to integrate the strengths of traditional- and IT-based learning activities. However, TML providers still struggle in identifying areas for improvement in their TML offerings. One reason for their struggles is inconsistencies in the literature regarding drivers of TML performance. Prior research suggests that these inconsistencies in TML literature might stem from neglecting the importance of considering the process perspective in addition to the input and outcome perspectives. This gap needs to be addressed to better understand the different drivers of the performance of TML scenarios. Filling this gap would further support TML providers with more precise guidance on how to (re-)design their offerings toward their customers’ needs. To achieve our goal, we combine qualitative and quantitative methods to develop and evaluate a holistic model for assessing TML performance. In particular, we consolidate the body of literature, followed by a focus group workshop and a Q-sorting exercise with TML practitioners, and an empirical pre-study to develop and initially test our research model. Afterward, we collect data from 161 participants of TML vocational software trainings and evaluate our holistic model for assessing TML performance. The results provide empirical evidence for the importance of the TML process quality dimension as suggested in prior literature and highlighted by our TML practitioners. Our main theoretical as well as practical contribution is a holistic model that provides comprehensive insights into which constructs and facets shape the performance of TML in vocational software trainings.

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