• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.290-304
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• 2018

The study proposes a discussion model for long-term care workers as a thought experiment, that strengthens speciality and presents an alternative education & training scheme for long-term care workers. First, the study unpacks the sociodemographic characteristics of license acquisitors and the employed as long-term care workers. In sequence, the study tries to present an alternative education & training scheme of the professional long-term care workers, that is comprised of a new education & training course with NCS in junior colleges for young peoples, intensification of speciality in education & training course through extension of times and deepening contents, introduction of legal refresher training, granting of roles of the NHIC as insurer in legal refresher training, introduction and legal employment of the professional tong-term care workers with career experience and speciality. At last, the study suggests a series of policy projects for realization of that alternative education & training scheme.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.122-129
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• 2024

Though programming education has been stressed recently, the elementary, middle, and high school students are having trouble in programming education. Most programming environments for them are based on block coding, which hinders them from moving to text coding. The traditional PC environment has also troubles such as maintenance problems. In this situation, mobile applications can be considered as alternative programming environments. This paper addresses the design and implementation of coding applications for mobile devices. As a prototype, a Scheme interpreter mobile app is proposed, where Scheme is used for programming courses at MIT since it supports multi-paradigm programming. The implementation has the advantage of not consuming the network bandwidth since it is designed as a standalone application. According to the benchmark result, the execution time on Android devices, relative to that on a desktop, was 131% for the Derivative and 157% for the Tak. Further, the maximum execution times for the benchmark programs on the Android device were 19.8ms for the Derivative and 131.15ms for the Tak benchmark. This confirms that when selecting an Android device for programming education purposes, there are no significant constraints for training.