Research on Reinforcing POLICE English Proficiency based on IoT convergence Learning Contents
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Purpose; This study focuses on the establishment of an IoT convergence-based police communication skills improvement system for improving police English proficiency. As the number of foreign visitors to Korea increases, the police work environment in Korea also needs to change accordingly. To this end, this study examines the English proficiency that police officers need in the course of their work, and suggests an appropriate English proficiency improvement system and English education improvement plan to improve English proficiency, which is essential for police officers in their working environment. Police officer candidates invest a lot of time and effort to improve their English proficiency to pass the police recruitment test. After the appointment, there are many cases where the working environment cannot be handled without the support of foreign affairs due to the failure to use proper English. Although English tests are being conducted to evaluate candidates' English proficiency in the recruitment process of Korean police officers, the type of test currently being conducted is solely focused on the calculation of successful candidates through discrimination of English scores. However, high scores on the police English test do not verify the English proficiency required in a real work environment. As a result, the effectiveness of English proficiency has been questioned in the police officer's performance. Unlike in the past, the number of foreigners visiting Korea for a short time or long-term stays steadily is increasing and the situation where frontline police officers, such as foreigner-related complaints and incidents have to be carried out by the police work directly against foreigners, is also increasing. In order to solve such complex problems, a system for improving and evaluating English proficiency of front-line police officers is needed. To this end, this study suggests IoT-based convergence police English proficiency improvement contents.
Abstract
Purpose; This study focuses on the establishment of an IoT convergence-based police communication skills improvement system for improving police English proficiency. As the number of foreign visitors to Korea increases, the police work environment in Korea also needs to change accordingly. To this end, this study examines the English proficiency that police officers need in the course of their work, and suggests an appropriate English proficiency improvement system and English education improvement plan to improve English proficiency, which is essential for police officers in their working environment. Police officer candidates invest a lot of time and effort to improve their English proficiency to pass the police recruitment test. After the appointment, there are many cases where the working environment cannot be handled without the support of foreign affairs due to the failure to use proper English. Although English tests are being conducted to evaluate candidates' English proficiency in the recruitment process of Korean police officers, the type of test currently being conducted is solely focused on the calculation of successful candidates through discrimination of English scores. However, high scores on the police English test do not verify the English proficiency required in a real work environment. As a result, the effectiveness of English proficiency has been questioned in the police officer's performance. Unlike in the past, the number of foreigners visiting Korea for a short time or long-term stays steadily is increasing and the situation where frontline police officers, such as foreigner-related complaints and incidents have to be carried out by the police work directly against foreigners, is also increasing. In order to solve such complex problems, a system for improving and evaluating English proficiency of front-line police officers is needed. To this end, this study suggests IoT-based convergence police English proficiency improvement contents.
참고문헌 (12)
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