3rd Workshop on Knowledge Graphs and Big Data in conjunction with the IEEE Big Data 2023 As part of the 3rd Workshop on Knowledge Graphs and Big Data at the IEEE Big Data 2023 conference in Sorrento, Ms. Linxen presented the paper Knowledge Graphs for Competency-Based Education. The position paper describes an approach to representing the Four Component Instructional Design model as a knowledge graph and ontology. 08.01.2024
Paper accepted for the 3rd Workshop on Knowledge Graphs and Big Data in conjunction with the IEEE Big Data 2023 The paper Knowledge Graphs for Competency-Based Education by Andrea Linxen, Florian Endel, Simone Opel und Christian Beecks is accepted for the 3rd Workshop on Knowledge Graphs and Big Data In conjunction with the IEEE Big Data 2023. 22.11.2023
Best Paper Award (pdf) Maike Holtkemper, Maria Potanin, Alexander Oberst and Christian Beecks have received the Best Paper Award of the Business Intelligence & Analytics Division of LDWA 2023 for their paper Risk Identification of Data Science Projects: A Literature Review. Congratulations! 24.10.2023
LDWA-Conference Marburg What are the main risks of data science projects and how do they differ from risks of software engineering projects? 18.10.2023
HDI Conference Ms. Linxen presented our paper “Piloting a competence network based on the Four Component Instructional Design model for data science teaching” on September 14, 2023, at the tenth conference for higher-education didactics (HDI 2023) in Aix-en-Chapelle. This work presents the integration of the learning taxonomy by Anderson and Krathwohl with the 4C/ID instructional design model to develop a competency-based curriculum for data science courses. 27.09.2023
DELFI-Conference, Aix-la-Chapelle Congratulations to Ms. Stephanie Ebbing on her successful participation in the demo session of the DELFI conference on September 12, 2023.
Supported by her supervisor Andrea Linxen from the data science department, Ms. Ebbing presented a chatbot with modular teaching styles she developed as part of her bachelor's thesis. The chatbot, based on the Rasa framework, guides students through an exploratory data analysis that explores the sales figures of a major American retail chain. The chatbot encourages students to explore the data independently in three different phases with varying degrees of personal effort. The feedback from conference visitors was extremely positive and we congratulate Ms. Ebbing on this strong performance!
Inaugural lecture of Professor Christian Beecks The inaugural lecture of Professor Christian Beecks took place on Monday, 18 September 2023. The title of the event was "Data Science at FernUni - An insight into this fascinating discipline!”. After a brief introduction of himself and the Data Science team, Professor Beecks not only explained excerpts of the current research topics in his field, but also gave an insight into what "Data Science" means to him. 18.09.2023
Dataninja Retreat From September 6th to 8th, we participated in the third retreat of the research training group Dataninja. This event in Krefeld offered interesting discussions on current research topics with fellow researchers at different universities in North Rhine-Westphalia. The topic of data drift detection in data streams was especially prominent. 14.09.2023
DEXA Conference On August 28th 2023, we presented our research on the structural analysis of time series via Gaussian processes and the Apriori algorithm at the „Database and Expert System Applications“ (DEXA) Conference in Penang, Malaysia. This conference offered many opportunities for exchanging with researches from all over the world, especially on topics like rule learning. These discussions inspired new approaches that we intend to implement in the future. 29.08.2023