Publications
178 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-178
Second workshop on novel data management ideas on heterogeneous (co-)processors (NoDMC).Broneske, D., & Habich, D. (2023).Second workshop on novel data management ideas on heterogeneous (co-)processors (NoDMC). In B. König-Ries et al. (Hrsg.), Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331. Bonn: Gesellschaft für Informatik e.V.. https://doi.org/10.18420/BTW2023-40 |
Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models.Safikhani, P., Avetisyan, H., Föste-Eggers, D., & Broneske, D. (2023).Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models. Discover Artificial Intelligence 3, 2023(6). https://doi.org/10.1007/s44163-023-00050-y |
Microblogs-A means for simulating informal learning beyond classrooms.Obionwu, V., Broneske, D., & Saake, G. (2023).Microblogs-A means for simulating informal learning beyond classrooms. In Association for Computing Machinery ACM (Hrsg.), Proceedings of the 14th International Conference on Education Technology and Computers (ICETC '22) (S. 219-225). New York, USA: ACM. https://doi.org/10.1145/3572549.3572585 |
Gruppenarbeit beim Programmieren lernen (GAPL). Eine Erhebung der aktuellen Lage in Grundlagenveranstaltungen an drei deutschen Universitäten. Daten- und Methodenbericht zum qualitativen Datenpaket GAPL des Projekts Digitales Programmieren im Team (DiP-iT).Schulz, S., Berndt, S., Hawlitschek, A., & İkiz-Akıncı, D. (2023).Gruppenarbeit beim Programmieren lernen (GAPL). Eine Erhebung der aktuellen Lage in Grundlagenveranstaltungen an drei deutschen Universitäten. Daten- und Methodenbericht zum qualitativen Datenpaket GAPL des Projekts Digitales Programmieren im Team (DiP-iT). Hannover: DZHW. Abstract
The research project "Digital Programming in Teams" (DiP-iT) investigates how collaborative learning in computer science studies can be didactically developed and supported with digital tools. The project focuses on the use and implementation of learning analytics methods. The DiP-iT project aims to develop didactic and technical support in computer science studies for learning to program in teams. In order to achieve this goal, the sub-study "Gruppenarbeit beim Programmieren lernen" (GAPL; engl: Group work in Learning Programming) first took stock of the initial situation at the three locations of the joint universities [...] Full abstract: https://doi.org/10.21249/DZHW:dipit2020:1.0.0 |
An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements.Obionwu, V., Harnisch, C., Kalu, K., Broneske, D., & Saake, G. (2023).An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2022 International Conference on Engineering and Emerging Technologies (ICEET) (S. 1-6). New York, United States: IEEE. https://doi.org/10.1109/ICEET56468.2022.10007096 |
The German National Academics Panel Study (Nacaps): A new longitudinal survey on early researchers' careers and life courses.Briedis, K., Hoffstätter, U., & Schwabe, U. (2022).The German National Academics Panel Study (Nacaps): A new longitudinal survey on early researchers' careers and life courses. Soziale Welt, 73(4), 740-763. https://doi.org/10.5771/0038-6073-2022-4 |
Eurostudent VII. Micro Data. Data and methods report SUF version 2.0.Cuppen, J., Muja, A., Hauschildt, K., Buck, D., & Daniel, A. (2022).Eurostudent VII. Micro Data. Data and methods report SUF version 2.0. Hannover: DZHW. Abstract
The EUROSTUDENT project collects and analyses comparable data on the social dimension of European higher education. A wide range of topics related to students’ social and economic conditions are covered. The project strives to provide reliable and insightful cross-country comparisons. It does this through coupling a central coordination approach with a strong network of national partners in each participating country. In this way, an assessment of the strengths and weaknesses of the respective national frameworks in international comparison can be made. The main users of our findings are higher education policy-makers at national and European level, [...] Full abstract: https://doi.org/10.21249/DZHW:es7:2.0.0 |
DZHW-Studienberechtigtenpanel 2018 - Daten- und Methodenbericht zum DZHW-Studienberechtigtenpanel 2018 (1. Befragungswelle).Woisch, A., Franke, B., Quast, H., Föste-Eggers, D., Mentges, H., ... & Weber, A. (2022).DZHW-Studienberechtigtenpanel 2018 - Daten- und Methodenbericht zum DZHW-Studienberechtigtenpanel 2018 (1. Befragungswelle). 2022. Hannover: FDZ-DZHW. Abstract
The DZHW-Panel Study of School Leavers 2018 is part of the DZHW-Panel Study of School Leavers survey series, in which standardized multiple surveys are used to collect information on the post-school careers of school leavers with a (school) higher education entrance qualification. As a rule, several survey waves are conducted at different times before and after the acquisition of the higher education entrance qualification. Accordingly, this is a combined cohort-panel design. The panel 2018 is the 21st cohort of the survey series of which the data of the first survey wave will be published first. [...] Full abstract: https://doi.org/10.21249/DZHW:gsl2018:1.0.0 |
Datenzugang.Hoffstätter, U., & Linne, M. (2022).Datenzugang. Einführung in das Thema Zugang zu Daten der Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften in Forschungsdatenzentren. KonsortSWD Working Paper 2022 (4). Berlin: Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD). https://www.doi.org/10.5281/zenodo.7347064 |
Exploiting views for collaborative research data management of structured data.Broneske, D., Wolff, I., Köppen, V., & Schäler, M. (2022).Exploiting views for collaborative research data management of structured data. In Y.-H. Tseng, M. Katsurai, & H. N. Nguyen (Hrsg.), ICADL 2022: From born-physical to born-virtual: Augmenting intelligence in digital libraries. (S. 360-376). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-21756-2_28 |
10. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1982.Middendorff, E., & Wallis, M. (2022).10. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1982. Hannover: FDZ-DZHW. Abstract
The Social Survey is a series of surveys on the economic and social situation of students in Germany that has been in existence since 1951. Every three to four years, a cross-section of students is surveyed on aspects of access to higher education, structural features of study, social and economic situation, including income and cost of living, employment, housing situation, as well as socio-demographic characteristics, partnership status and parenthood. The data package includes the data from the 10th Social Survey (1982), which was limited to German students in the old Länder. An additional questionnaire included Questions about the psychosocial situation. https://doi.org/10.21249/DZHW:ssy10:1.0.0 |
Methodenbericht zur Befragung von wissenschaftlichen und administrativen Beschäftigten an medizinischen Fakultäten im Projekt QuaMedFo (Qualitätsmaße zur Evaluierung medizinischer Forschung).Biesenbender, S., Hartstein, J., Herrmann-Lingen, C., Kratzenberg, A., & Traylor, C. (2022).Methodenbericht zur Befragung von wissenschaftlichen und administrativen Beschäftigten an medizinischen Fakultäten im Projekt QuaMedFo (Qualitätsmaße zur Evaluierung medizinischer Forschung). Hannover: DZHW. https://doi.org/10.21249/DZHW:qmf2021-dmr:1.0.0 Abstract
The survey of scientific and administrative employees at medical faculties in Germany is part of module 7 „Praktikabilität, Akzeptanz und Verhaltenswirksamkeit“ in the collaborative project „Qualitätsmaße zur Evaluierung medizinischer Forschung“ (QuaMedFo). It was planned and conducted in close cooperation of the German Center for Higher Education Research and Science Studies (DZHW) and the Universitätsmedizin Göttingen (UMG) in the first half of 2021. Data preparation was completed in the second half of 2021. https://doi.org/10.21249/DZHW:qmf2021:1.0.0 |
UCRP-miner: Mining patterns that matter.Darrab, S., Broneske, D., & Saake, G. (2022).UCRP-miner: Mining patterns that matter. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), Proceedings of the 5th International Conference on Data Science and Information Technology (DSIT) (S. 1-7). New York, United States: IEEE. https://doi.org/10.1109/DSIT55514.2022.9943880 |
Tell me why it’s fake: Developing an explainable user interface for a fake news detection system.Shahania, S., Purificato, E., & William De Luca, E. (2022).Tell me why it’s fake: Developing an explainable user interface for a fake news detection system. In CEUR Workshop Proceedings (Hrsg.), Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it 2022). Udine, Italy: CEUR. Abstract
In this paper, we present the design and development of an explainable user interface for a fake news detection system. The problem of distinguishing real from fake articles gained a lot of popularity in the last few years, mainly due to the soaring diffusion of social networks and internet bots as means for propaganda and disinformation sharing. By leveraging various explainability methods, i.e. feature importance, partial dependence plots and SHAP values, we aim to show how the combination of different techniques embedded in an interactive user interface can lead to enhance trust in a detection system for a non-expert user, such as a fact-checker or a content manager. Through several examples, we describe all the explainability component |
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