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

gedime项目的目的是获得关于新冠疫情对德国德语语言和文学教师的影响以及他们对数字媒体的使用、熟悉程度和看法的经验验证知识。这涉及解决双重需求：(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、熟悉程度和看法的知识。计划进行两项研究以解决这一双重需求。研究1的重点是调查德国的德语语言和文学教师，以及他们在冠状病毒大流行之前对数字媒体的熟悉程度、使用情况和看法。实证基础将是国际能源署（IEA）关于2018年国际国际语言研究会议（ICILS）母语教师的数据，这些数据尚未进行分析，可以从中获得相关学科的见解。研究1将基于ICILS 2018年的数据，通过潜在剖面分析（latent profile analysis，一种面向个人的分类潜在变量建模统计方法）对三个研究问题（RQ）进行调查。在德语语言文学教师对数字媒体的熟悉程度、使用情况和观点方面，可以确定多少个概况，每个概况中教师所占的百分比是多少，这些概况如何通过学校和教师特征来预测？中移动2。这些概况（以及构成变量的总体水平）与2018年德国教师总体人口的概况有何不同？中移动3。这些概况（以及构成变量的总体水平）与其他国家的母语教师有何不同？研究2的重点是对德国几个联邦州的N=2011德语语言文学教师的实证数据进行调查，这些教师参加了正在进行的在线问卷调查研究“德语语言文学中的数字远程学习”（DiDiD）。有两个队列的数据：1。有关2020年春季第一次封锁的数据；2. 数据指的是从2020年12月16日开始的第二次封城。研究2将使用验证性潜在剖面建模方法解决三个研究问题：RQ 1。在德语语言文学教师对数字媒体的熟悉程度、使用情况和观点方面，可以确定多少个概况，每个概况中教师所占的百分比是多少，这些概况如何通过学校和教师特征来预测？中移动2。这些特征（以及队列1和队列2的总体水平和具体情况）与研究1中基于ICILS 2018确定的特征有何不同？中移动3。在德语语言和文学教师中，可以确定哪些特定学科的档案可以使用数字媒体和新的数字选项来促进特定学科的能力，对特定学科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?