{"title":"Construction of a prototype syllabus-based Point of Parity estimation and visualization system for department branding","authors":"Hazuki Shibayama, A. Ishigaki","doi":"10.1109/IIAIAAI55812.2022.00120","DOIUrl":null,"url":null,"abstract":"Higher education institution (HEI) branding is becoming more and more important. In branding HEI, creating similar and differentiated images that students can easily associate with is essential. In addition, most students who enter HEI are interested in the academic content of HEI, but they have difficulty understanding the specialized academic content of HEI. This may cause a mismatch in the perception of academic content between students and HEI. Therefore, it is useful to extract images of similar and differentiated that students easily associate with specialized academic content. Comparing these images among departments will provide HEI with information useful for department branding and help students understand the department. The purpose of this study is to construct the following system using the syllabus. Specifically, this study aims to (1) quantitatively estimate POP courses by quantifying the similarity between courses using the syllabus and, (2) create an interdepartmental map that enables comparison among departments using POP by solving an optimization problem for course placement that minimizes the objective function.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAIAAI55812.2022.00120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Higher education institution (HEI) branding is becoming more and more important. In branding HEI, creating similar and differentiated images that students can easily associate with is essential. In addition, most students who enter HEI are interested in the academic content of HEI, but they have difficulty understanding the specialized academic content of HEI. This may cause a mismatch in the perception of academic content between students and HEI. Therefore, it is useful to extract images of similar and differentiated that students easily associate with specialized academic content. Comparing these images among departments will provide HEI with information useful for department branding and help students understand the department. The purpose of this study is to construct the following system using the syllabus. Specifically, this study aims to (1) quantitatively estimate POP courses by quantifying the similarity between courses using the syllabus and, (2) create an interdepartmental map that enables comparison among departments using POP by solving an optimization problem for course placement that minimizes the objective function.