{"title":"Evaluation Procedure for Teacher Wellbeing Android Application Based on Face Recognition Algorithms","authors":"Sasmoko, Y. Indrianti","doi":"10.1109/CITSM56380.2022.9935945","DOIUrl":null,"url":null,"abstract":"the demands of industry 4.0, teachers are required to improve the quality of their profession. A quality profession will not be achieved if the teacher does not have a quality and prosperous personality at the same time. By utilizing technological developments, teachers can monitor and diagnose the condition of their own wellbeing on an ongoing basis, so as to optimize the quality of work life. Quality Work Life Teachers are very important for teachers themselves as educators, institutions and the nation and state. Quality of work life can be used as a benchmark for teacher growth both vertically and horizontally along with the growth of the institution. The encounter of Educational Sciences, this psychological trait with Artificial Intelligence is called Positive Education, which is the main goal of this research. One of its forms is self-diagnostic which is able to diagnose psychological conditions to produce optimal quality. This study aims to design a face recognition application through the N euroresearch and Waterfall research methods. The result of this research is a design to build a Face Recognition Teacher Wellbeing application.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITSM56380.2022.9935945","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
the demands of industry 4.0, teachers are required to improve the quality of their profession. A quality profession will not be achieved if the teacher does not have a quality and prosperous personality at the same time. By utilizing technological developments, teachers can monitor and diagnose the condition of their own wellbeing on an ongoing basis, so as to optimize the quality of work life. Quality Work Life Teachers are very important for teachers themselves as educators, institutions and the nation and state. Quality of work life can be used as a benchmark for teacher growth both vertically and horizontally along with the growth of the institution. The encounter of Educational Sciences, this psychological trait with Artificial Intelligence is called Positive Education, which is the main goal of this research. One of its forms is self-diagnostic which is able to diagnose psychological conditions to produce optimal quality. This study aims to design a face recognition application through the N euroresearch and Waterfall research methods. The result of this research is a design to build a Face Recognition Teacher Wellbeing application.