@article{36877,
  abstract     = {{The study explores differences between three user types in the top tweets about the 2015 “refugee crisis” in Germany and presents the results of a quantitative content analysis. All tweets with the keyword “Flüchtlinge” posted for a monthlong period following September 13, 2015, the day Germany decided to implement border controls, were collected (N = 763,752). The top 2,495 tweets according to number of retweets were selected for analysis. Differences between news media, public and private actor tweets in topics, tweet characteristics such as tone and opinion expression, links, and specific sentiments toward refugees were analyzed. We found strong differences between the tweets. Public actor tweets were the main source of positive sentiment toward refugees and the main information source on refugee support. News media tweets mostly reflected traditional journalistic norms of impartiality and objectivity, whereas private actor tweets were more diverse in sentiments toward refugees. }},
  author       = {{Kapidzic, Sanja and Frey, Felix and Neuberger, Christoph and Stieglitz, Stefan and Mirbabaie, Milad}},
  issn         = {{1932-8036}},
  journal      = {{International Journal of Communication}},
  keywords     = {{refugee crisis 2015, Germany, social media, Twitter, user types}},
  title        = {{{Crisis Communication on Twitter: Differences Between User Types in Top Tweets About the 2015 “Refugee Crisis” in Germany}}},
  volume       = {{17}},
  year         = {{2023}},
}

@techreport{37089,
  abstract     = {{This research note links the legal framework of the insolvency process of German firms to the information available in the newly-constructed insol database. In particular, the database contains information from documents published by German insolvency courts in period 2005- 2022. This research note first presents the insolvency process with steps and events of the process as determined by the Insolvency Law (InsO). Next, it classifies the documents to specific steps and events, and then presents their information content using textual analysis. Specifically, we identify target phrases via manual document checks and then create regular expressions for the target phrases. Classification of documents allows us to sketch most common paths that insolvent firms go through.}},
  author       = {{Ahlers, Theresa and Edossa, Fikir Worku and Uckert, Matthias and Kosi, Urska}},
  keywords     = {{insol database, insolvency process, Germany, court fillings}},
  title        = {{{Insolvcency Process in Germany and the insol database: A research Note}}},
  year         = {{2022}},
}

@article{47627,
  abstract     = {{In Germany, dual learning programmes are increasingly offered by higher education institutions. These programmes’ main characteristic and greatest challenge is their integration of academic and vocational learning. So far, this challenge has frequently been stated without specifying its exact nature and consequences for learners. The present study addresses this pedagogical research gap and examines the extent of variation in the degree of integration among dual study programmes. With reference to curriculum theory, the study develops an empirical typology of curricular integration in dual programmes. The data sample consists of 152 programmes at (dual) universities and universities of applied sciences. Data is analysed using hierarchical cluster analysis. Results indicate that the currently prevailing forms of curricular integration should best be differentiated according to five types. The five overlapping types of integration are located on a continuum ranging from parallelism through organisational linking to full curricular integration targeted immediately at students’ personal integration. The analysis confirms that there are problems with complying with integration standards set on the policy level. Above all, the study offers new insights on what marks the diverse integration landscape of dual study programmes. It proves that approaches to integration are more differentiated than previous research has shown.}},
  author       = {{Mordhorst, Lisa and Jenert, Tobias}},
  issn         = {{0018-1560}},
  journal      = {{Higher Education}},
  keywords     = {{Dual study programmes · Curricular integration · Curriculum theory · Empirical typology · Cluster analysis · Germany}},
  number       = {{6}},
  pages        = {{1257--1279}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Curricular integration of academic and vocational education: a theory-based empirical typology of dual study programmes in Germany}}},
  doi          = {{10.1007/s10734-022-00889-7}},
  volume       = {{85}},
  year         = {{2022}},
}

@inbook{34471,
  abstract     = {{Inclusive education is about creating beneficial environments for all students (Booth & Ainscow, 2011). Within Germany, the role of special education within inclusive schools has been widely discussed in Germany (Powell et al., 2016). Educators worldwide consider collaborative teaching between special educators and general educators to be a fundamental precondition for inclusive education (Hoppey & McLeskey, 2014). The history of the German school system, however, is characterized by a rigorous division of special and regular schools that is reflective of broad divisions in teacher education. Since the ratification of the Convention on the Rights of Persons with Disabilities (CRPD) in Germany in 2009, more students with special educational needs, as well as special educators, have begun to attend and work in inclusive schools. While cooperation between general and special educators is a key to the development of inclusive schools, many teachers report that responsibilities are divided between special and general teachers, while various challenges exist regarding cooperation (Urban & Lütje-Klose, 2014). Nevertheless, dysfunctional cooperation can foster mechanisms of separation and exclusion even in “inclusive” settings (Idel et al., 2019). The present chapter offers a reflection on the different roles of special educators and the current state of research on interdisciplinary and multi professional cooperation in inclusive schools in Germany. It also provides a discussion of relevant implications for the development of inclusive schools and teacher training.
}},
  author       = {{Neumann, Phillip and Lütje-Klose, Birgit}},
  booktitle    = {{International Perspectives on Inclusive Education}},
  editor       = {{Semon, Sarah and Lane, Danielle and Jones, Phyllis}},
  isbn         = {{978-1-83982-999-4}},
  keywords     = {{Kooperation, Inklusion, Sonderpädagogik, Schulentwicklung, Inclusion, Cooperation, Collaboration, Team-Teaching, International, Germany}},
  pages        = {{55--69}},
  publisher    = {{Emerald Publishing Limited}},
  title        = {{{Collaboration Is the Key – The Role of Special Educators in Inclusive Schools in Germany}}},
  doi          = {{10.1108/s1479-363620210000017007}},
  volume       = {{17}},
  year         = {{2021}},
}

@inproceedings{29298,
  abstract     = {{Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert, sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische Weiterentwicklung hin zu einer Datengesellschaft noch größer werden.
An dieser Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte selbst zu unterrichten.
Hierfür wurde im Rahmen des Projekts ProDaBi (Projekt Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19 durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen
ermöglicht, das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt.}},
  author       = {{Opel, Simone Anna and Schlichtig, Michael}},
  booktitle    = {{Sammelband der 27. Fachtagung der BAG Berufliche Bildung}},
  editor       = {{Vollmer, Thomas and Karges, Torben and Richter, Tim and Schlömer, Britta and Schütt-Sayed, Sören}},
  keywords     = {{Berufsbildung, vocational education, Ausbildung, training, berufliche Weiterbildung, advanced vocational education, Digitalisierung, digitalization, Unterricht, teaching, Lehrmethode, teaching method, Interdisziplinarität, interdisciplinarity, Fachdidaktik, subject didactics, Curriculum, curriculum, gewerblich-technischer Beruf, vocational/technical occupation, Fachkraft, specialist, Qualifikationsanforderungen, qualification requirements, Kompetenz, competence, Lehrerbildung, teacher training, Bundesrepublik Deutschland, Federal Republic of Germany}},
  location     = {{Siegen}},
  pages        = {{176--194}},
  publisher    = {{wbv Media GmbH & Co. KG}},
  title        = {{{Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II}}},
  doi          = {{https://doi.org/10.3278/6004722w}},
  volume       = {{55}},
  year         = {{2020}},
}

@article{58013,
  abstract     = {{This study examines whether lexical repetition, syntactic skills, and working memory (WM) affect children’s syntactic-priming behavior, i.e. their tendency to adopt previously encountered syntactic structures. Children with Specific Language Impairment (SLI) and typically developing (TD) children were primed with prenominal (e.g., the yellow cup) or relative clause (RC; e.g., the cup that is yellow) structures with or without lexical overlap and performed additional tests of productive syntactic skills and WM capacity. Results revealed a reliable syntactic-priming effect without lexical boost in both groups: SLI and TD children produced more RCs following RC primes than following prenominal primes. Grammaticality requirements influenced RC productions in that SLI children produced fewer grammatical RCs than TD children. Of the additional measures, WM positively affected how frequently children produced dispreferred RC structures, but productive syntactic skills had no effect. The results support an implicit-learning account of syntactic priming and emphasize the importance of WM in syntactic priming tasks.}},
  author       = {{Foltz, Anouschka and Thiele, Kristina and Kahsnitz, Dunja and Stenneken, Prisca}},
  journal      = {{Journal of child language}},
  keywords     = {{Child, Female, Germany, Humans, Linguistics, Male, Memory, Short-Term, Vocabulary}},
  number       = {{4}},
  pages        = {{932–945}},
  title        = {{{Children’s syntactic-priming magnitude: lexical factors and participant characteristics}}},
  doi          = {{10.1017/S0305000914000488}},
  volume       = {{42}},
  year         = {{2015}},
}

@article{32518,
  abstract     = {{This study investigates age-related changes and dyadic-specific differences in adult child–parent
relationships. Using an individuation framework, two German samples of 224 and 105 participants
aged between 21 and 47 years were administered the Network of Relationships Inventory, the
Emotional Autonomy Scale and the Authority Reciprocity Questionnaire. Factor analyses resulted
in a measurement model valid for adult children, their mothers and fathers. The model includes
connectedness (with emotional and cognitive aspects) as well as individuality (assessed as power
symmetry). Connectedness decreased with age. Symmetry in father–child relationships increased over
time, while mother–child relationships were perceived to be symmetrical by early adulthood.
Child–mother relationships were more connected than child–father relationships. Sons described
themselves as more powerful than did daughters.}},
  author       = {{Buhl, Heike M.}},
  journal      = {{International Journal of Behavioral Development}},
  keywords     = {{adult child–parent relationships, adulthood, connectedness, Germany, individuation, symmetry}},
  number       = {{5}},
  pages        = {{381 -- 389}},
  title        = {{{Development of a model describing individuated adult child-parent relationships}}},
  volume       = {{32}},
  year         = {{2008}},
}

