The Effective Factors on the Formation of Scrap Learning in In-Service Training: A qualitative study

Barshan, Adibeh and Safai Movahed, Saeid and Farzad, Vali Allah and Kiamanesh, Alireza and Moghadam Zadeh, Ali (2019) The Effective Factors on the Formation of Scrap Learning in In-Service Training: A qualitative study. Journal of Qualitative Research in Health Sciences, 7 (4). pp. 418-427. ISSN 2645-6109

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Abstract

Introduction: In training courses, all the materials learned will not always be transmitted to the workplace because of some effective factors. The aim of this study was to determine the effective factors on the formation of scrap learning in in-service training. Method: This descriptive qualitative study was conducted using conventional content analysis. Data were collected using semi-structured interviews. The participants were all employees and workers of the copper industry in Kerman province. According to the data saturation level, 16 of them were selected using purposive sampling. Data were analyzed using qualitative content analysis. The validity of the research findings was confirmed using assessment methods by members and multi-stratified data sources. Results: The effective factors on the formation of scrap learning were classified into three categories: individual factors (attitude, learner readiness, professional ethics, and motivation), organizational factors (organizational support and working environment conditions), and educational factors (need assessment and evaluation, training strategies, and content of the course). Conclusion: Regardless of the attitude, motivation, and professional ethics of the participants, the lack of attention to their readiness for learning, lack of necessary support, lack of facilities and equipment, lack of attention to the employees' needs, and the results of evaluations are the most important factors that prohibit the application of the materials learned in the workplace. Keywords: Scrap learning, In-service training courses, Employees, Kerman copper industry, Qualitative research

Item Type: Article
Subjects: A General Works > AI Indexes (General)
Depositing User: amiri
Date Deposited: 27 May 2019 09:36
Last Modified: 27 May 2019 09:47
URI: http://eprints.kmu.ac.ir/id/eprint/31080

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