NCS 의사소통능력 하위 요소의 교육 우선순위에 대한 AHP 분석

Abstract

This study is proposed to analyze an priority of educational needs of NCS communicative competence using AHP analysis. For this purpose, it conducted a questionnaire survey of 88 vocational teachers. Among the subjects, it analyzed the responses with a consistency ratio of 0.1 or less. First, ‘writing ability’ was derived as the most important ability among sub-abilities. Second, the result of priorities for each educational element of sub-abilities are as follow: ‘Confirmation and acquisition of document information’, ‘Confirmation and organization of written document information’, ‘Listening to voice information and media information’, ‘Organization information suited to purpose and situation’ were the most important educational contents elements of sub-abilities respectively. The results of this study can be used as basic data for constituting vocational education contents in the future.Since then, it has been necessary to establish a foundation for creating an educational environment that can improve students' ability to adapt to a changing career world through a wide range of research on subjects in various vocational education fields and levels.
 Methods To this end, a problem-oriented learning (PBL)-based artificial intelligence teaching and learning model was designed through consideration of previous studies, and a total of 16 problem-oriented learning (PBL)-based elementary machine learning education programs were developed. Software and artificial intelligence education experts were reviewed for the developed program, and the developed education program was applied to 30 students in 1 class in 5th grade of M Elementary School in Busan. The effectiveness of problem-solving ability improvement of problem-based learning-based machine learning education programs was analyzed by analyzing the program-applied pre- and post-test papers through the corresponding sample t-test of SPSS Statistics.
 Results The average value increased in all areas of problem-solving ability recognition, information collection, analysis, diffusion thinking, decision-making, planning, execution and risk-taking, evaluation, and feedback, and significant differences were also found in the significance level standards. As a result of analyzing the survey and interviews of students after the application of the education program, it was found that AI education was necessary, interested, and useful, and helped improve creativity and thinking skills, and had a positive effect on career choices related to AI.
 Conclusions It was confirmed that the PBL-based elementary machine learning education program has a positive effect on problem-solving skills and artificial intelligence education for fifth graders, and it is expected to be used as a reference for follow-up studies of artificial intelligence education programs considering various grades, school forms, and convergence with subjects.