The objective of this study is to develop education programs for cultivating smart aquaculture experts through a education demand survey of industries, high school students, university (graduate) students and field workers. The industry demand analysis was conducted as an in-depth interview on representives from seven companies. Education demand surveys were conducted on 96 students and field workers in the Jeonnam region. Results on the demand survey were analyzed using frequency analysis and cross-analysis. The company representatives responded that they want to participated in internship and retraining programs to proactively secure manpowers with convergence capabilities about smart aquaculture. Seven companies preferred manpowers with basic competencies on ICT (Information and Communications Technologies) or aquaculture. The most respondents in the demand survey want to participate in the education program for experience on advanced technology, self-development and enhancement of work capability. On the other hand, some respondents said that the education is time-consuming and that the education program does not fit their level. Thus, the education program should be developed in a way to minimize the spatial and temporal limitations of education targets and to improve understanding of non-majors by reflecting the demands of human resources in the industrial field.

Purpose: This is a group pretest-posttest design study that aim to examine the effect of smart problem-based learning (PBL) teaching method using flipped learning to meta-cognition, academic self-efficacy, and satisfaction level of nursing students. Method: The subjects were 76 students who took basic nursing practice, which is a major subject, from August 29 to December 13, 2018. A questionnaire was used to measure meta-cognition in web-based self-directed learning. The self-efficacy measurement used a scale consisting of self-regulating efficacy, task difficulty preference, and confidence. The measurement of practical satisfaction is a 5-point Likert scale that employs a questionnaire. Flipped learning uploaded a 10-minute lecture video, and the subjects learned through PC or smartphone. PBL teaching was developed in two modules: gavage and indwelling urinary tract. Results: Result showed a significant improvement of meta-cognition after education than before education (t=3.21, p=.043). Academic self-efficacy was not significantly changed before and after education. Practice satisfaction was significantly improved after training than before training (t=-2.19, p=.032). Conclusion: The smart PBL teaching method using flipped learning is an effective teaching and learning strategy for nursing majors. Nursing students with high meta-cognition will be able to perform well in their learning outcomes; therefore, this positive performance experience will enhance self-efficacy.

사회복지관은 2004년 6대사업에서 5대 사업으로, 2013년 5대사업에서 3대 기능사업으로 변경하면서 기능정립 활성화를 위해 노력하는 시점에서 지역기반의 공공복지전달 체계 개편까지 진행되면서 기능정립에 강한 도전을 받고 있다. 특히 사회복지서비스의 접근성이 취약한 농촌 및 기반시설이 열악한 지역의 경우는 건물보다 찾아가는 현장 중심의 서비스 제공인 스마트워크 방식의 도입이 필요하다는 문제의식을 가지게 되었다. 이러한 문제 해소를 위한 연구대상 및 방법으로 실질적 스마트워크 방식 복지관을 운영하고 있는 파주문산종합사회복지관 ‘스마트복지센터’, 제주스마트복지관, 영종공감복지센터 등을 통한 실태조사를 실시하였으며, 연구결과로 ‘현지완결형 업무수행’, ‘주민조 직화 중심’, ‘지역거점 중심’으로 복지관의 기능이 정립되었을 때 3대 기능이 통합적으로 적용될 수 있음이 나타났다. 이러한 결과는 결국 사회복지관의 기능이 주민과 지역중심이 더 강화되어야 하며 일의 방식이 현지완결형의 스마트워크 방식으로 변화 되어야함을 시사한다고 볼 수 있다.

In order to provide priorities of the factors affecting the introduction of Smart Factory, This study reconstructed the factors and calculated the priorities through AHP (Analytic Hierarchy Process). The first layer of the hierarchy have 4 factors; productivity increase, brand image improve, marketing improve, cost reduction. The second layer of the hierarchy have 3 factors belong to the first layer, so the total number of second layer is 12. We divided the characteristics of enterprises into type of manager and age. The C.R. (consistency ratio) values of the respondents were found to be less than 0.1 and were judged to be a 'reasonable test'. As a result, the weights of the higher layer and the lower layer were obtained respectively, and then the weights of the higher layer and the weights of the lower layer were multiplied to obtain the total weights. Unlike previous studies that only surveyed factors that companies consider when introducing smart factory, (1) weighing and prioritizing factors were achieved. There are differences in priorities, (2) smart factory can be studied with the type of manager and firm age. When establishing policies, it is a practical implication (3) to assess its strategy not only for government officials but also for executives.

This paper is a follow up to the previous study which reveals that smartphone users are divided into three subcategories according to their usage characteristics. In this paper, these groups are called as ‘general’, ‘entertainment’, and ‘work-assistant’, taking into account their respective characteristics. The ‘general’ is a group whose smartphone usage characteristics are not focused on a specific purpose, the ‘entertainment’ is focused on music, internet, SNS, picture, and e-banking, and the ‘work-assistant’ is on work, GPS, diary. Inter-relation between the importance and satisfaction for the purchase determinants to the groups is investigated. In addition, Kano analysis of quality attributes is also performed, which includes quality type, satisfaction/dissatisfaction index, and PCSI (Potential Customer Satisfaction Improvement) index. The analysis result are as follows. Firstly, inter-relation between importance and satisfaction differs by user group. ‘Internet’, ‘Ease of use’, and ‘Performance’ purchase determinants are evaluated as competitive determinants in ‘work-assistant’ user group. Secondly Kano quality types of quality characteristics also differs by user group. ‘Application’ was classified as an attractive (A) types to ‘entertainment’ group and so on. ‘Internet’ ‘Failure/Bug’, ‘Touch response rate’ and ‘Charging’ are located in ‘Nice’ Region of S-PCSI Diagram and have to be considered as strategic quality characteristics. The results of this study is expected to give some helps in establishing a customer tailored quality strategy.