@article{3679,
  author       = {{Rausch, Andreas and Seifried, Jürgen and Harteis, Christian}},
  journal      = {{Journal of Workplace Learning}},
  number       = {{5}},
  pages        = {{374----393}},
  title        = {{{Emotions, coping and learning in error situations in the workplace}}},
  volume       = {{29}},
  year         = {{2017}},
}

@inbook{3680,
  author       = {{Goller, Michael and Harteis, Christian}},
  booktitle    = {{Agency at Work}},
  editor       = {{Goller, Michael and Paloniemi, Susanna}},
  pages        = {{85----103}},
  publisher    = {{Springer}},
  title        = {{{Human agency at work: Towards a clarification and operationalisation of the concept}}},
  year         = {{2017}},
}

@article{3690,
  author       = {{Harteis, Christian and Gartmeier, Martin}},
  journal      = {{Journal of Workplace Learning}},
  number       = {{5}},
  pages        = {{322--325}},
  title        = {{{Learning from errors in workplace settings}}},
  volume       = {{29}},
  year         = {{2017}},
}

@inbook{3691,
  author       = {{Harteis, Christian and Festner, Dagmar and Bauer, Johannes}},
  booktitle    = {{Wissen und Lernen. Wie epistemische Überzeugungen Schule, Universität und Arbeitswelt beeinflussen}},
  editor       = {{Bernholt, Andrea and Gruber, Hans and Moschner, Barbara}},
  pages        = {{195--212}},
  publisher    = {{Waxmann}},
  title        = {{{Epistemische Überzeugungen Beschäftigter und ihre Bedeutung für berufliches Lernen}}},
  year         = {{2017}},
}

@misc{28912,
  booktitle    = {{Lernende Schule}},
  editor       = {{Eickelmann, Birgit and Klinger, Udo}},
  number       = {{79}},
  title        = {{{Digitalisierung in der Schule}}},
  volume       = {{20}},
  year         = {{2017}},
}

@article{27605,
  author       = {{Drossel, Kerstin and Gröhlich, Carola}},
  journal      = {{Schulmanagement}},
  pages        = {{18--21}},
  title        = {{{Multiprofessionelle Kooperation in der Schule: Forschungsbefunde und Handlungsperspektiven für Schulleitungen }}},
  volume       = {{1}},
  year         = {{2017}},
}

@article{27606,
  author       = {{Drossel, Kerstin and Eickelmann, Birgit and Gerick, Julia}},
  journal      = {{Education and Information Technologies}},
  number       = {{2}},
  pages        = {{551--573}},
  title        = {{{Predictors of Teachers’ Use of ICT in School – the Relevance of School Characteristics, Teachers’ Attitudes and Teacher Collaboration}}},
  doi          = {{10.1007/s10639-016-9476-y}},
  volume       = {{22}},
  year         = {{2017}},
}

@article{27607,
  author       = {{Drossel, Kerstin and Eickelmann, Birgit and Schulz-Zander, Renate}},
  journal      = {{European Educational Research Journal}},
  number       = {{6}},
  pages        = {{781--799}},
  title        = {{{Determinants of teachers’ collaborative use of information and communications technology for teaching and learning: A European perspective}}},
  doi          = {{10.1177%2F1474904116655811}},
  volume       = {{16}},
  year         = {{2017}},
}

@article{27610,
  author       = {{Drossel, Kerstin}},
  journal      = {{Journal für Schulentwicklung}},
  number       = {{3}},
  pages        = {{54--55}},
  publisher    = {{Klinkhardt}},
  title        = {{{Rezension des Buches von Jasmin Bastian und Stefan Aufenanger: Tablets in Schule und Unterricht. Forschungsergebnisse zum Einsatz digitaler Medien}}},
  volume       = {{21}},
  year         = {{2017}},
}

@article{27611,
  author       = {{Drossel, Kerstin and Eickelmann, Birgit}},
  issn         = {{2196-0739}},
  journal      = {{Large-scale Assessments in Education}},
  number       = {{5}},
  pages        = {{1--13}},
  title        = {{{Teachers’ participation in professional development concerning the implementation of new technologies in class: a latent class analysis of teachers and the relationship with the use of computers, ICT self-efficacy and emphasis on teaching ICT skills}}},
  doi          = {{10.1186/s40536-017-0053-7}},
  volume       = {{19}},
  year         = {{2017}},
}

@article{27612,
  author       = {{Eickelmann, Birgit and Drossel, Kerstin}},
  journal      = {{Dreizehn - Zeitschrift für Jugendsozialarbeit}},
  pages        = {{24--29}},
  title        = {{{Digitale Bildung – ein neue Perspektive auf Bildungsgerechtigkeit?}}},
  volume       = {{18}},
  year         = {{2017}},
}

@article{27613,
  abstract     = {{Der kompetente Umgang mit Informations- und Kommunikationstechnologien (ICT) gewinnt im Zuge des Wandels zur Informations- und Wissensgesellschaft zunehmend an Bedeutung. Die International Computer and Information Literacy Study (ICILS 2013) erfasst in diesem Zusammenhang erstmals computer- und informationsbezogene Kompetenzen computerbasiert im internationalen Vergleich. Theoretische Überlegungen und empirische Befunde postulieren dabei einen Zusammenhang der erfassten Kompetenzdomäne mit der Lesekompetenz der Schülerinnen und Schüler. Eine empirische Untersuchung dieses Zusammenhangs steht bislang allerdings noch aus und ist das Anliegen dieses Beitrags. Um diesem Desiderat nachzugehen, werden die repräsentativen Schülerdaten aus ICILS 2013 für Deutschland herangezogen. Dabei wird die Untersuchung des Zusammenhangs der beiden Konstrukte möglich, da in Deutschland national ein Lesetest ergänzt wurde, den die Achtklässlerinnen und Achtklässler zusätzlich bearbeitet haben. Die Pfadanalyse zeigt, dass Lesen einen mittleren direkten Effekt von .452 auf die computer- und informationsbezogenen Kompetenzen aufweist.}},
  author       = {{Eickelmann, Birgit and Drossel, Kerstin}},
  journal      = {{Medienimpulse}},
  title        = {{{Computer- und informationsbezogene Kompetenzen in der IEA Studie ICILS 2013 und der Zusammenhang mit der Lesekompetenz}}},
  doi          = {{10.21243/MI-04-17-08}},
  volume       = {{4}},
  year         = {{2017}},
}

@inbook{27796,
  author       = {{Drossel, Kerstin and Eickelmann, Birgit}},
  booktitle    = {{Tomorrow's Learning: Involving Everyone. Learning with and about Technologies and Computing}},
  editor       = {{Tatnall, Arthur and Webb, Mary}},
  issn         = {{1868-4238}},
  pages        = {{114--124}},
  publisher    = {{Springer International Publishing}},
  title        = {{{The Use of Tablets in Secondary Schools and Its Relationship with Computer Literacy}}},
  doi          = {{10.1007/978-3-319-74310-3_14}},
  year         = {{2017}},
}

@inproceedings{1156,
  abstract     = {{In this paper, we present an IoT architecture which handles stream sensor data of air pollution. Particle pollution is known as a serious threat to human health. Along with developments in the use of wireless sensors and the IoT, we propose an architecture that flexibly measures and processes stream data collected in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread network of wireless sensors that can follow changes in human behavior. Apart from stating reasons for the need of such a development and its requirements, we provide a conceptual design as well as a technological design of such an architecture. The technological design consists of Kaa and Apache Storm which can collect air pollution information in real-time and solve various problems to process data such as missing data and synchronization. This enables us to add a simulation in which we provide issues that might come up when having our architecture in use. Together with these issues, we state r easons for choosing specific modules among candidates. Our architecture combines wireless sensors with the Kaa IoT framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management System among others. We even provide open-government data sets that are freely available.}},
  author       = {{Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}},
  booktitle    = {{Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}},
  editor       = {{Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, Victor}},
  isbn         = {{978-989-758-245-5}},
  keywords     = {{Wireless Sensor Network, Internet of Things, Stream Data, Air Pollution, DSMS, Real-time Data Processing}},
  location     = {{Porto, Portugal}},
  pages        = {{117--124}},
  publisher    = {{SCITEPRESS}},
  title        = {{{Internet of Things Architecture for Handling Stream Air Pollution Data}}},
  doi          = {{10.5220/0006354801170124}},
  year         = {{2017}},
}

@inproceedings{1158,
  abstract     = {{In this paper, we present the annotation challenges we have encountered when working on a historical language that was undergoing elaboration processes. We especially focus on syntactic ambiguity and gradience in Middle Low German, which causes uncertainty to some extent. Since current annotation tools consider construction contexts and the dynamics of the grammaticalization only partially, we plan to extend CorA – a web-based annotation tool for historical and other non-standard language data – to capture elaboration phenomena and annotator unsureness. Moreover, we seek to interactively learn morphological as well as syntactic annotations.}},
  author       = {{Seemann, Nina and Merten, Marie-Luis and Geierhos, Michaela and Tophinke, Doris and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}},
  location     = {{Vancouver, BC, Canada}},
  pages        = {{40--45}},
  publisher    = {{Association for Computational Linguistics (ACL)}},
  title        = {{{Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German}}},
  doi          = {{10.18653/v1/W17-2206}},
  year         = {{2017}},
}

@inbook{1159,
  abstract     = {{In this paper, we present a search solution that makes local news information easily accessible. In the era of fake news, we provide an approach for accessing news information through opinion mining. This enables users to view news on the same topics from different web sources. By applying sentiment analysis on social media posts, users can better understand how issues are captured and see people’s reactions. Therefore, we provide a local search service that first localizes news articles, then visualizes their occurrence according to the frequency of mentioned topics on a heatmap and even shows the sentiment score for each text. }},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}},
  editor       = {{Damaševičius, Robertas and Mikašytė, Vilma}},
  isbn         = {{978-3-319-67641-8}},
  location     = {{Druskininkai, Lithuania}},
  pages        = {{528--538}},
  publisher    = {{Springer}},
  title        = {{{Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach}}},
  doi          = {{10.1007/978-3-319-67642-5}},
  volume       = {{756}},
  year         = {{2017}},
}

@inbook{1161,
  abstract     = {{Consulting a physician was long regarded as an intimate and private matter. The physician-patient relationship was perceived as sensitive and trustful. Nowadays, there is a change, as medical procedures and physicians consultations are reviewed like other services on the Internet. To allay user’s privacy doubts, physician review websites assure anonymity and the protection of private data. However, there are hundreds of reviews that reveal private information and hence enable physicians or the public to identify patients. Thus, we draw attention to the cases when de-anonymization is possible. We therefore introduce an approach that highlights private information in physician reviews for users to avoid an accidental disclosure. For this reason, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts.}},
  author       = {{Bäumer, Frederik Simon and Grote, Nicolai and Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}},
  editor       = {{Damaševičius, Robertas and Mikašytė, Víctor}},
  isbn         = {{978-3-319-67641-8}},
  keywords     = {{Physician Reviews, User Privacy, Nocuous Data Exposure}},
  location     = {{Druskininkai, Lithuania}},
  pages        = {{77--89}},
  publisher    = {{Springer}},
  title        = {{{Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews}}},
  doi          = {{10.1007/978-3-319-67642-5_7}},
  volume       = {{756}},
  year         = {{2017}},
}

@inproceedings{21080,
  author       = {{Menke, Peter}},
  booktitle    = {{Proceedings of the Corpus Linguistics Conference 2017}},
  location     = {{Birmingham, UK}},
  title        = {{{An annotated video corpus of interactions dealing with the collaborative construction of fiction in games}}},
  year         = {{2017}},
}

@book{17709,
  editor       = {{Mindt, Ilka and Schäfer, Wilhelm and Sloane, Peter F. E. and Gössling, Bernd and Mehic, Ahmet}},
  title        = {{{Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project}}},
  year         = {{2017}},
}

@article{17722,
  author       = {{Mindt, Ilka}},
  journal      = {{Zeitschrift für Anglistik und Amerikanistik}},
  pages        = {{339 -- 353}},
  title        = {{{Chosen}}},
  volume       = {{65 : 3}},
  year         = {{2017}},
}

