David Broneske

Dr. David Broneske

Research Area Research Infrastructure and Methods
Acting Head
  • +49 511 450670-454
  • +49 511 450670-960

Dr. David Broneske did his Bachelor and Master in Computer Science at the Otto-von-Guericke University Magdeburg, where he received his Ph.D. in 2019 and afterward started his Habilitation. From 2019 to 2020, he was the substitutional head of the chair of Database and Informationssystems at Hochschule Anhalt in Köthen. Since March 2021, he is the acting head of Department 4 "Infrastructures and Methods" of the German Centre for Higher Education Research and Science Studies (DZHW).

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Academic research fields

Research Data Management for Learning Analytics Data, Main-Memory Database Systems on Modern Hardware, Interactive Data Exploration and Visualization, Artificial Intelligence for Data Cleaning and Analysis

Publications

List of publications

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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 Institute of Electrical and Electronics Engineers.

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

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

A collaborative learning environment using blogs in a learning management system.

Obionwu, V., Broneske, D., & Saake, G. (2022).
A collaborative learning environment using blogs in a learning management system. In T. Zlateva & R. Goleva (Hrsg.), Computer Science and Education in Computer Science. CSECS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer. https://doi.org/10.1007/978-3-031-17292-2_18

Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems.

Obionwu, V., Broneske, D., & Saake, G. (2022).
Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems. In ICICM (Hrsg.), Proceedings of the 12th International Conference on Information Communication and Management (ICICM 2022) (S. 50-60). New York, NY, United States: Association for Computing Machinery ACM. https://doi.org/10.1145/3551690.3551699

Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions.

Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2022).
Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions. In A. Cuzzocrea, O. Gusikhin, W. van der Aalst, & S. Hammoudi (Hrsg.), Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA (S. 541-548). Lissabon, Portugal: SciTePress. https://doi.org/10.5220/0011351000003269

Animation of a forgotten invention - the soda locomotive.

Erhardt, A.-L., Vorhauer-Huget, N., Rzepus, H. J., & Broneske, D. (2022).
Animation of a forgotten invention - the soda locomotive. In L. Gómez Chova, A. López Martínez, & J. Lees (Hrsg.), EDULEARN22 Proceedings, 14th International Conference on Education and New Learning Technologies (S. 2358-2364). Valencia, Spanien: IATED Academy. https://doi.org/10.21125/edulearn.2022.0612

Integer time series compression for holistic data analytics in the context of vehicle sensor data.

Vox, C., Broneske, D., Piewek, J., Sass, A. U., & Saake, G. (2022).
Integer time series compression for holistic data analytics in the context of vehicle sensor data. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2022 International Conference on Connected Vehicle and Expo (ICCVE) Proceedings (S. 1-7). New York: IEEE. https://doi.org/10.1109/ICCVE52871.2022.9743019

Towards a learning analytics metadata model.

Wolff, I., Broneske, D., & Köppen, V. (2022).
Towards a learning analytics metadata model. In SoLAR Society for Learning Analytics Research (Hrsg.), Companion Proceedings 12th International Conference on Learning Analytics & Knowledge. New York: Association for Computing Machinery.

A first metadata schema for learning analytics research data management.

Wolff, I., Broneske, D., & Köppen, V. (2021).
A first metadata schema for learning analytics research data management. O-Bib. Das Offene Bibliotheksjournal / Herausgeber VDB, 8(4), 1-20. https://doi.org/10.5282/o-bib/5735

Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features.

Avetisyan, H., & Broneske, D. (2021).
Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features. In Association for Computational Linguistics (Hrsg.), Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) (S. 95-107). Trento, Italy: Association for Computational Linguistics.

FAIR research data management for learning analytics.

Wolff, I., Broneske, D., & Köppen, V. (2021).
FAIR research data management for learning analytics. In Lingnau, A. (Hrsg.), Proceedings of DELFI Workshops 2021 (S. 158-163). Dortmund: Hochschule Ruhr West 2021.

In-depth analysis of OLAP query performance on heterogeneous hardware.

Broneske, D., Drewes, A., Gurumurthy, B., Hajjar, I., Piontek, T., & Saake, G. (2021).
In-depth analysis of OLAP query performance on heterogeneous hardware. Datenbank-Spektrum, 21, 133-143. https://doi.org/10.1007/s13222-021-00384-w

3D animation of single stage batch distillation for distance learning.

Vorhauer, N., Mathew, P., Gunasekaran, H., Do, M., Thalakkotoor, S., ... & Broneske, D. (2021).
3D animation of single stage batch distillation for distance learning. In IATED Academy (Hrsg.), EDULEARN21 Proceedings (S. 476-483). Valencia, Spain: IATED Academy. https://doi.org/10.21125/edulearn.2021.0146

An investigation of atomic synchronization for sort-based group-by aggregation on GPUs.

Gurumurthy, B., Broneske, D., Schäler, M., Pionteck, T., & Saake, G. (2021).
An investigation of atomic synchronization for sort-based group-by aggregation on GPUs. In IEEE (Hrsg.), IEEE 37th International Conference on Data Engineering Workshops (ICDEW) (S. 48-53). Chania, Greece: IEEE. https://doi.org/10.1109/ICDEW53142.2021.00016
Presentations

List of presentations & conferences

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An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements.

Obionwu, V., Kumar, R., Shantaram, S., Broneske, D., & Saake, G. (2023, Januar).
An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements. Vortrag auf der Konferenz 6th World Conference on Computing and Communication Technologies (WCCCT), IEEE, Chengdu, China.

Towards a strategy for developing a project partner recommendation system for University course projects.

Obionwu, V., Walia, D., Tiwari, T., Ghosh, T., Broneske, D., & Saake, G. (2023, Januar).
Towards a strategy for developing a project partner recommendation system for University course projects. Vortrag auf der Konferenz 2023 6th World Conference on Computing and Communication Technologies (WCCCT), IEEE, Chengdu, China.

Exploiting views for collaborative research data management of structured data.

Broneske, D., Wolff, I., Köppen, V., & Schäler, M. (2022, November/Dezember).
Exploiting views for collaborative research data management of structured data. Vortrag auf der Konferenz The 24th International Conference on Asia-Pacific Digital Libraries (ICADL 2022). From born-physical to born-virtual: Augmenting intelligence in digital libraries, Hanoi, Vietnam.

Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna.

Broneske, D., Friedrich, C., Schwabe, U., & Schwemmer, C. (2022, November).
Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna. Impulsvortrag in der Sitzung des Wissenschaftlichen Beirats, DZHW Hannover, Hannover.

Microblogs-A means for simulating informal learning beyond classrooms.

Obionwu, V., Broneske, D., & Saake, G. (2022, Oktober).
Microblogs-A means for simulating informal learning beyond classrooms. Vortrag auf der Konferenz 14th International Conference on Education Technology and Computers (ICETC), Barcelona, Spanien.

Leveraging educational blogging to assess the impact of collaboration on knowledge creation.

Obionwu, V., Broneske, D., & Saake, G. (2022, Oktober).
Leveraging educational blogging to assess the impact of collaboration on knowledge creation. Vortrag auf der Konferenz 13th International Conference on Distance Learning and Education (ICDLE), Barcelona, Spanien.

Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna.

Broneske, D., Friedrich, C., Schwabe, U., & Schwemmer, C. (2022, Oktober).
Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna. Impulsvortrag auf der Hausmesse Beschäftigungssituation in der Wissenschaft, DZHW Hannover, Hannover.

UCRP‐miner: Mining patterns that matter.

Darrab, S., Broneske, D., & Saake, G. (2022, Juli).
UCRP‐miner: Mining patterns that matter. Vortrag auf der Konferenz International Conference on Data Science and Information Technology (DSIT), Shanghai, China.

Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems.

Obionwu, V., Broneske, D., & Saake, G. (2022, Juli).
Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems. Vortrag auf der Konferenz International Conference on Knowledge and Education Technology (ICKET), London, Großbritannien.

Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions.

Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2022, Juli).
Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions. Vortrag auf der Konferenz International Conference on Data Science, Technology and Applications (DATA), Lissabon, Portugal.

A collaborative learning environment using blogs in a learning management system.

Obionwu, V., Broneske, D., & Saake, G. (2022, Juni).
A collaborative learning environment using blogs in a learning management system. Vortrag auf der Konferenz EAI Conference on Computer Science and Education in Computer Science (CSECS), Sofia, Bulgarien.

Towards a learning analytics metadata model.

Wolff, I., Broneske, D., & Köppen, V. (2022, März).
Towards a learning analytics metadata model. Vortrag auf der Konferenz The 12th International Learning Analytics and Knowledge Conference, SoLAR Society for Learning Analytics Research.

Integer time series compression for holistic data analytics in the context of vehicle sensor data.

Vox, C., Broneske, D., Piewek, J., Sass, A. U., & Saake, G. (2022, März).
Integer time series compression for holistic data analytics in the context of vehicle sensor data. Vortrag auf der Konferenz 2022 International Conference on Connected Vehicle and Expo (ICCVE), IEEE Xplore Institute of Electrical and Electronics Engineers, Lakeland, FLorida, USA. https://doi.org/10.1109/ICCVE52871.2022.9743019

Automatisierte Codierung von Berufsangaben mittels BERT.

Föste-Eggers, D., Avetisyan, H., Safikhani, P., & Broneske, D. (2021, Dezember).
Automatisierte Codierung von Berufsangaben mittels BERT. Vortrag auf der Tagung Methodische Herausforderungen in der empirischen Bildungsforschung, Thementagung der digiGEBF21, DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main.

Integrating decision tree learning on the graph database Neo4j to analyze clinical data.

Mondal, R., Dung Do, M., Uddin Ahmed, N., Broneske, D., Saake, G., & Heyer, R. (2021, November).
Integrating decision tree learning on the graph database Neo4j to analyze clinical data. Vortrag auf der Konferenz International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2021.
Curriculum Vitae
Since 03/2021

Acting Head of Department 4 "Infrastructures and Methods" of the German Centre for Higher Education Research and Science Studies (DZHW)

04/2020 - 02/2021

Post-Doc at Otto-von-Guericke University Magdeburg

10/2019 - 03/2020

Substitutional Professor at Hochschule Anhalt - Chair of Database and Information Systems

06/2019 - 09/2019

Post-Doc at Otto-von-Guericke University Magdeburg

08/2013 - 05/2019

PhD Student at Otto-von-Guericke University Magdeburg

2008 - 2013

Bachelor and Master Studies in "Computer Science", Otto-von-Guericke University Magdeburg

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