Evaluation Procedure for Teacher Wellbeing Android Application Based on Face Recognition Algorithms

Sasmoko, Y. Indrianti
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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.
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基于人脸识别算法的Android应用教师幸福感评价程序
工业4.0的需求,要求教师提高自身的专业素质。如果教师不能同时拥有良好的素质和繁荣的个性,就不可能实现高质量的职业。通过利用技术发展,教师可以持续监测和诊断自己的健康状况,从而优化工作生活的质量。教师对教师本身、教育机构、国家和民族都非常重要。随着学校的发展,工作生活质量可以作为教师纵向和横向成长的基准。教育科学将这种心理特征与人工智能相结合,称之为积极教育,这是本研究的主要目标。其中一种形式是自我诊断,它能够诊断心理状况以产生最佳质量。本研究旨在通过N神经研究和瀑布研究方法设计一个人脸识别应用程序。本研究的结果是设计了一个人脸识别教师福利应用程序。
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