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Investigating and Analysing Instructional Design and Workplace Learning Models and Selection of Adaptive Model to Optimize Organizational Training in Petrochemical Industry
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Hamid Rahimian   1, Abbas abspour , Mortaza Taheri , Ali Najafi |
| 1- , hamrahimian@yahoo.com |
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Abstract: (3989 Views) |
The present research aimed to analyze instructional design,workplace learning, and selecting the optimum model of learning for human resources training in petrochemical industry.The previous roles have become faint and new opportunities have appeared in petrochemical industry by starting the process of privatization and changing the nature of the company from holding to a governance and development organization. So, the main questions in this study were: what is the similarity among the world popular models about instructional design and workplace learning models? What is the most adaptive model about training and workplace learning in petrochemical industry? Therefore, a qualitative meta-synthesis approach has been used to reply these questions. This process was conducted in two steps. Its first step was conducted by Sandelowski and Barroso method in 2007. The second step was conducted by analysis of documents, observation, and experts' views using Maxqda software. Finally, the related adaptive model to the characteristics of petrochemical industry was offered including five dimentions of: performance analysis, performance design, performance development, performance implementation, and performance monitoring which were adopted from 70:20:10, Mager and human performance technology models. Regarding the dominant systematic approach in instructional design and workplace learning model, and considering of performance conception in all designing processes, it seems that the present study,as the first study in this field, can have an effective role in organizational training.t
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| Keywords: instructional design - workplace learning - Meta-synthesis- 70:20:10 Guide- Mager Model- human performance technology model |
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Full-Text [PDF 598 kb]
(1149 Downloads)
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Type of Study: Research |
Subject:
Management
Received: 2017/10/3 | Accepted: 2018/09/2 | Published: 2018/10/10
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