대학의 고등교육법 위반사항에 대한 의미연결망 분석

Abstract

The purpose of this study is to analyze violations of the Higher Education Act by universities, as identified through the internal audits conducted by the Ministry of Education, using semantic network analysis methods. The data analyzed were disclosures related to violations of the Higher Education Act from 2017 to 2022, based on the audit disposition date. Universities with specialized purposes were excluded from the analysis. Keyword frequency analysis and cluster analysis were conducted. Based on the findings of the study, the main results are summarized as follows. Firstly, the keyword frequency analysis encompassing both national and private universities revealed that research, education, corporate, student, hiring, and allowances were the most frequently occurring keywords across the board. Secondly, when analyzed by type of establishment, a key difference between national and private universities was identified: national universities had a higher frequency of student-related keywords compared to private universities, where keywords related to accounting and financial violations were more frequent. Thirdly, the cluster analysis results showed that the violation types were divided into four groups in the overall analysis, categorized as 'Organizational Personnel and Compensation System & Academic System Management,' 'Contract and Accounting Management,' 'Research Management,' and 'Committee and Scholarship System.' Fourthly, when analyzed by type of establishment, national universities were distinctly divided into four groups: research, personnel, academic, and accounting, whereas private universities were categorized into three groups due to research and contract and accounting management being combined into the same group. Based on these findings, recommendations for future research were proposed.