Reverse learning innovation: a new approach in in-service training in intelligence-security organizations

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and purpose

In the educational policies of the intelligence-security organizations of the country in recent years, learner-oriented educational environments have been considered valuable. The purpose of the current research is to explain and analyze one of these types of learning environments that are designed based on the characteristics of active technological learning. This new approach, known as reverse learning, has been increasingly popular among education professionals; but until now, at the international level, no qualitative research has been presented in this regard in intelligence-security organizations; Therefore, knowing the processes, achievements and challenges in this innovation will help the trainers and beneficiaries of in-service training in these organizations to apply it properly.

Methodology

This research in the form of three research questions and using the phenomenological research plan and inductive content analysis of 59 Q1 and Q2 English articles indexed in the Web of Science scientific database between 2012 and 2021, to study, categorize and interpret learning environments designed based on The innovation of reverse learning has paid off.

Findings and conclusions

The results show that the reverse classroom processes have positive results for employees, instructors, curriculum and in general for educational centers and can promote and improve learning skills and 21st century competencies of employees as well as the development of learning technologies. And their information literacy is effective. At the same time, the existence of technological and non-technological challenges in these learning environments can make these classes ineffective. Meanwhile, the results of this research highlight the need to do more in-depth research to solve the problems of employees, trainers and training centers of intelligence organizations when applying reverse learning; Based on this, research suggestions for future researches have also been presented.

Language:
Persian
Published:
Journal of Police Protectoral and Security Studies, Volume:17 Issue: 2, 2022
Pages:
97 to 133
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