DIGITIZATION OF THE STUDENT LIFE CYCLE TO PROMOTE UNDER-REPRESENTED GROUPS IN STEM SUBJECTS

Heidi Schuhbauer, P. Brockmann
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引用次数: 2

Abstract

A project to support underrepresented groups in STEM (Science, Technology, Engineering and Math) subjects is being carried out at the Department of Computer Science at the Technical University of Nuremberg Georg Simon Ohm (TH GSO). This project intends to counteract the shortage of specialists in the STEM occupations by supporting underrepresented student groups (i.e. students with a migration background, from non-academic households, female students, and single parents) before, during and after their studies. To this end, digitization measures in STEM studies should be evaluated and carried out at the TH GSO Nuremberg. The entire life cycle plays a decisive role in this, starting with the choice of the students’ course of study, through their university or college studies, to entry into the labor market, and is included in this research project. Specific digital prototypes will be developed as supporting measures. The identification of underrepresented groups of students in STEM subjects is the starting point of this project. At the beginning of the student life cycle, the identified groups should be provided with information about STEM fields to support their choices of study subjects. For this purpose, some digital advisory tools will be developed. To prevent them from breaking-off their studies, influencing factors have to be identified. Knowing these factors, an early-warning system will be developed. This system should identify students who are at risk of failing and propose supporting measures to them at an early stage. At the end of their studies, they should be assisted in their choice of a suitable job and in applying for jobs with digital tools.
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学生生命周期的数字化,以促进stem学科中代表性不足的群体
纽伦堡乔治·西蒙·欧姆工业大学(TH GSO)计算机科学系正在开展一个项目,以支持STEM(科学、技术、工程和数学)学科中代表性不足的群体。该项目旨在通过支持代表性不足的学生群体(即具有移民背景的学生,来自非学术家庭的学生,女学生和单亲家长),在学习之前,期间和之后,解决STEM职业专家短缺的问题。为此,应在纽伦堡GSO对STEM研究中的数字化措施进行评估和实施。整个生命周期在这方面起着决定性的作用,从学生的学习课程的选择开始,通过他们的大学或学院学习,进入劳动力市场,并包括在这个研究项目中。将开发具体的数字原型作为配套措施。识别STEM学科中代表性不足的学生群体是这个项目的起点。在学生生命周期的开始,应向确定的群体提供有关STEM领域的信息,以支持他们选择学习科目。为此目的,将开发一些数字咨询工具。为了防止他们中断学业,必须确定影响因素。了解了这些因素,就可以建立预警系统。这一制度应该及早发现有不及格风险的学生,并提出支持措施。在他们学习结束时,应该帮助他们选择合适的工作,并使用数字工具申请工作。
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