Effects of the Covid-19 Pandemic on German Language and Literature Teachers in Germany and their Familiarity with, Use of and Views on Digital Media

GETDIME项目的目的是获得关于电晕大流行对在德国的德国语言和文学教师的影响以及他们对数字媒体的使用、熟悉和看法的经验性知识。这涉及到解决两方面的需求：(1)缺乏关于大流行前基线的知识；(2)缺乏关于德国教师在大流行期间对数字媒体的使用、熟悉程度和观点的知识。计划进行两项研究以解决这一双重需求。研究一的重点是对在德国的德国语言和文学教师的调查，以及他们在日冕疫情之前对数字媒体的熟悉、使用和看法。实证基础将是国际能源署关于2018年ICILS的母语教师的数据，这些数据尚未进行分析，可以从中获得相关的学科具体见解。研究一将基于ICILS 2018的数据，通过潜在概况分析(一种以人为本的分类潜在变量建模的统计方法)调查三个研究问题(RQ)：RQ 1.德国语言和文学教师对数字媒体的熟悉、使用和看法的概况可以确定多少个概况，每个概况中教师的比例是多少，学校和教师特征如何预测概况？RQ 2.这些概况(以及构成变量的总体水平)与2018年德国教师总数有何不同？RQ 3.这些概况(以及构成变量的总体水平)与其他国家母语教师的概况有何不同？研究二的重点是对来自德国几个联邦州的N=2011名德语语言文学教师的实证数据进行调查，这些教师参与了正在进行的在线问卷调查--《德语语言文学数字远程学习》(DiDiD)。有两个队列的数据：1.指的是2020年春季第一次封禁的数据；2.指的是2020年12月16日开始的第二次封禁的数据。在研究2中，将使用验证性潜在个人资料建模方法解决三个研究问题：RQ 1。德国语言和文学教师熟悉、使用数字媒体和对数字媒体的看法的个人资料可以识别出多少个，每个个人资料中教师的百分比是多少，学校和教师特征如何预测这些个人资料？RQ 2.这些概况(以及第1组和第2组中的总体水平和细节)与研究1中根据ICILS 2018确定的情况有何不同？RQ 3。可以在德国语言和文学教师中确定哪些特定于科目的概况，以利用数字媒体和新的数字选择促进特定科目的能力，以及对特定科目的在职培训活动有什么兴趣？

The aim of the GETDIME project is to gain empirically validated knowledge about the effects of the Corona pandemic on German language and literature teachers in Germany and their use of, familiarity with and views on digital media. This involves addressing a twofold desideratum: (1) the lack of knowledge about pre-pandemic baselines and (2) the lack of knowledge about German teachers' use, familiarity, and views toward digital media during the pandemic. Two studies are planned to address this double desideratum.The focus of Study 1 is the investigation of German language and literature teachers in Germany and their familiarity with, use of and views on digital media before the Corona pandemic. The empirical basis will be IEA data on native language teachers from ICILS 2018, which have not yet been analyzed and from which relevant subject-specific insights can be gained. Three research questions (RQ) will be investigated in Study 1 based on the data of ICILS 2018 by latent profile analysis, a person-oriented statistical method for modelling categorical latent variables: RQ 1. How many profiles of German language and literature teachers’ familiarity with, use of and views on digital media can be identified, what is the percentage of teachers in each of these profiles and how are the profiles predicted by school and teacher characteristics? RQ 2. How do these profiles (and the overall levels of the constituting variables) differ from those of the overall population of teachers in Germany in 2018? RQ 3. How do these profiles (and the overall levels of the constituting variables) differ from those of teachers for native languages in other countries? The focus of Study 2 is the investigation of empirical data from N=2011 German language and literature teachers of several federal states in Germany, who participate in the ongoing online questionnaire study ‘Digital Distance Learning in German Language and Literature’ (DiDiD). There are data of two cohorts: 1. Data referring to the first lockdown in spring 2020; 2. data referring to the second lockdown starting 16.12.2020. Three research questions will be adressed in Study 2 using a confirmatory latent profile modeling approach:RQ 1. How many profiles of German language and literature teachers’ familiarity with, use of and views on digital media can be identified, what is the percentage of teachers in each of these profiles and how are the profiles predicted by school and teacher characteristics? RQ 2. How do these profiles (and the overall levels and specifics in cohort 1 and 2) differ from those identified on the basis of ICILS 2018 in Study 1?RQ 3. Which subject-specific profiles for the promotion of subject-specific competencies using digital media and new digital options can be identified among the German language and literature teachers and what interest in subject-specific in-service training events does exist?