• 대한공업교육학회지
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• v.37 no.1
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• pp.145-164
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• 2012

The purpose of this study is to develope the teaching materials of career education for the 'Information and Communication Technology and Our Life' unit in the technology education. As preparation phase, in order to choose the suitable contents for career education, we analyzed the technology education curriculum and 'Information and Communication Technology and our Life' unit of technology and home economics. And then we compared and analyzed the existing related researches. After content analysis of the teaching materials for career education, we mapped the contents into career education area. In the 'Design' step of teaching, we extracted the unit design components after analyzing 'Development in Information and Communication Technology' unit of eleven text books used in 2007 revised curriculum In the 'Introduction', 'Activity', 'Arrangement' steps of teaching, by applying the SHIP model, one of career education program model, we develop the teaching materials. Then, we get expert evaluation using questionnaire and improve the suitability of the teaching materials. The results are as followings: First, our teaching materials reflect the development history of information and communication technology well, show the features of career education, and are suitable to middle school students as the teaching materials. Second, our teaching materials can help students to face various jobs related with the development of Information and communication technology, to have more interests and exploring opportunities about 'Information and Communication Technology' subject. Third, our teaching materials can help teachers to use it for the career education of 'Information and Communication Technology and our Life' unit of 2007 revised curriculum in the class time. Our teaching materials can also be used in the extra activity related to career education and the Creative Experience Activities. Furthermore, since 2009 revised curriculum includes the career education unit in the 'Information and Communication Technology' subject, our teaching materials can be used partially as the teaching materials in the future.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.1
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• pp.35-44
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• 2021

Recent advances in the 4th Industrial Revolution have accelerated the change of the working environment, such that the paradigm of education has been shifted in accordance with career education including the free semester system and the high school credit system. While the purpose of those systems is students' self-motivated career exploration, educational limitations for teachers and students exist due to the rapid change of the information on education. Also, education technology research to tackle these limitations is relatively insufficient. To this end, this study first defines three requirements that education technologies for the career education system should consider. Then, through data-driven artificial intelligence technology, this study proposes a data system and an artificial intelligence recommendation model that incorporates the topics for career exploration, courses, and majors in one scheme. Finally, this study demonstrates that the set-based artificial intelligence model shows satisfactory performances on recommending career education contents such as courses and majors, and further confirms that the actual application of this system in the educational field is acceptable.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.10
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• pp.2331-2336
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• 2010

As basic data about students' career education in high school are being managed only in forms of NEIS, which is supported by Ministry of Education, Science and Technology, and the information for career education that homeroom teachers have operated by off-line system, it is hard to use them as practical decision support system for students' career education. In this study, we intend to design and embody web-based Student Management Total System by constructing DB of students' e-portfolios, school records and counselling data etc. As a result, teachers can carry out vocational education that is considered students' talents and aptitude, and we have a goal for promoting the growth of the students as the national human resources who have sound occupational consciousness through this education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.397-400
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• 2010

As basic data about students' career education in high school are being managed only in forms of NEIS, which is supported by Ministry of Education, Science and Technology, and the information for career education that homeroom teachers have operated by off-line system, it is hard to use them as practical decision support system for students' career education. In this study, we intend to design and embody web-based Student Management Total System by constructing DB of students' e-portfolios, school records and counselling data etc. And our ultimate goal with this system is helping teachers to carry out more effective career education geared to each individual student's talent and aptitude by integrating and sharing information about their career on the web site systematically.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1055-1060
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• 2018

In the wake of the 4th Industrial Revolution, the problem of career education in schools has become a big issue. While various studies are being conducted on services or technologies to effectively handle artificial intelligence and big data, in the field of education, data on students is simply processed. Therefore, in this paper, we are going to design and present career prediction programs for students using artificial intelligence and big data. Using observational data from students at the institute, the decision tree is constructed with the C4.5 algorithm known to be most intelligent and effective in the decision tree and is used to predict students' path of hope. As a result, the coefficient of kappa exceeded 0.7 and showed a fairly low average error of 0.1 degrees. As shown in this study, a number of studies and data will be deployed to help guide students in their consultation and to provide them with classroom attitudes and directions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.3
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• pp.221-228
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• 2018

This study aimed to analyze the impact of the motives of college students for choosing majors on career decision-making with self-efficacy used as a mediation effect, and to utilize the results as data for career counseling for college students. To do so, a research survey was conducted from November 1, 2017 to November 30, 2017, and based on the non-random convenience sampling technique, questionnaires were distributed to 1,300 students (2nd, 3rd, and 4th-year students) of five 4-year universities located in G Province. For frequency analysis and hypothesis testing, a multiple regression analysis and 3-step mediation effect analysis were used and the results of the analyses were as follows. The results of the analysis of the mediation effect of career self-efficacy on the impact of intrinsic motive on planning style showed that goal selection had a complete mediation effect. Given these results, it is necessary that educational institutions and society provide students, even during middle and high school years, with opportunities to discover their aptitudes and interests, and an educational system should be established to pave the way for students to be well prepared for and make decisions about the work they will do.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.332-335
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• 2018

In recent years, artificial intelligence using big data has become a big issue in IT. Various studies are being conducted on services or technologies to effectively handle big data. The educational field, there is big data about students, but it is only a simple process to collect, lookup and store such data. In the future, it makes extensive use of artificial intelligence, machine learning, and statistical analysis to find meaningful rules, patterns, and relationships in the big data of the educational field, and to produce intelligent and useful data for the actual students. Accordingly, this study aims to design a program to predict the career of students using a decision tree algorithm based on the data from the student's classroom observations. Through a career prediction program, it is believed to be helpful to present application paths to students ' counseling and to also provide classroom behavior and direction based on the desired courses.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.11
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• pp.2026-2031
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• 2006

Various kinds of studies for building up U-Korea are now underway. Especially, many results of educational application field such as U-Learning and U-Campus applying a USN technique have been founding. There are not, however, enough researches for the student management related to elementary, middle and high school. Therefore, this paper will suggest effective application system of student management which is one of the application systems for a user - centered environment using RFID and NEIS system in Ubiquitous. This system is enable to make it efficiently managed and transmitted students' data about their location and the details of their counsel(career, health and so on).

• Journal of the Korea Computer Industry Society
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• v.2 no.12
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• pp.1563-1572
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• 2001

Information wave of 21th century industrial society being undergone a change to knowledge post-industrial society new sense of values and life require. Also, computer is interacting, and adapts spontaneously in current enemy these age by important means on information-oriented society that change rapidly and computer-aided education is essential to improve country competitive power. Grasp computer education actual conditions of vocational high school for positivity that is industrial technology that IT base knowledge information-oriented society requires in this research hereupon, and though students' profession preference wishes to supply pabulum in course education presenting improvement direction of more efficient computer-aided education through investigation, there is the purpose. In present school curriculum, satisfaction about computer connection education responded that have interest much very appeared in general high. Also, computer connection profession preference was expose that research results keep in step and prefers most Information Communication Technology (ICT) field and multi media field that is embossed newly in post-industrial society.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.195-206
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• 2019

Accelerated technological advances and the convergence of information and communication technologies have led to changes of career concepts from one of lifetime employment to that of lifetime career. Given the importance of continuous career development for workers these days, systematic supports for workers' career development at the national level is necessary. Accordingly, a conceptual model of career competency mobility map (CCMM) has been proposed to support the development of workers' career competencies. The purpose of this study is to identify key issues that we should consider for real implementation by applying to each stage of the CCMM conceptual model as a case study. Based on the procedure presented in the conceptual model, the research process which includes collecting user information, conducting self-diagnosis of NCS-based job competencies, deriving necessary training competency, offering the guidance of training programs and job information were conducted. The results of the case study showed our participants' scores of competencies required further development and ranged from 1.83 to 4.52. Sequentially, a personalized information profile was offered for competency development, including training, certificates, and job information. Participants stated that the diagnosis results and profiles were meaningful and helped to explore further career development. Based on the results, implications are suggested.