52 citations · 144 across the 12 of their papers we have counts for
12 papers
Smart UX-design for Rescue Operations Wearable - A Knowledge Graph Informed Visualization Approach for Information Retrieval in Emergency Situations
Mubaris Nadeem, Johannes Zenkert, Christian Weber +2
This paper presents a knowledge graph-informed smart UX-design approach for supporting information retrieval for a wearable, providing treatment recommendations during emergency si…
Quantitative Evaluation of KIRETT Wearable Demonstrator for Rescue Operations
Mubaris Nadeem, Johannes Zenkert, Lisa Bender +2
Healthcare and Medicine are under constant pressure to provide patient-driven medical expertise to ensure a fast and accurate treatment of the patient. In such scenarios, the diagn…
KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios
Mubaris Nadeem, Johannes Zenkert, Christian Weber +2
The integration of vital signs in healthcare has witnessed a steady rise, promising health professionals to assist in their daily tasks to improve patient treatment. In life-threat…
KIRETT -- A wearable device to support rescue operations using artificial intelligence to improve first aid
Johannes Zenkert, Christian Weber, Mubaris Nadeem +6
This short paper presents first steps in the scientific part of the KIRETT project, which aims to improve first aid during rescue operations using a wearable device. The wearable i…
KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations
Mubaris Nadeem, Johannes Zenkert, Lisa Bender +2
Over the years, the need for rescue operations throughout the world has increased rapidly. Demographic changes and the resulting risk of injury or health disorders form the basis f…
LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations
Hasan Abu-Rasheed, Constance Jumbo, Rashed Al Amin +4
While learning personalization offers great potential for learners, modern practices in higher education require a deeper consideration of domain models and learning contexts, to d…
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
In the era of personalized education, the provision of comprehensible explanations for learning recommendations is of a great value to enhance the learner's understanding and engag…
Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
In the age of artificial intelligence (AI), providing learners with suitable and sufficient explanations of AI-based recommendation algorithm's output becomes essential to enable t…
Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion
Hasan Abu-Rasheed, Mareike Dornhöfer, Christian Weber +3
Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an…
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring
Hasan Abu-Rasheed, Mohamad Hussam Abdulsalam, Christian Weber +1
Student commitment towards a learning recommendation is not separable from their understanding of the reasons it was recommended to them; and their ability to modify it based on th…
Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations. A pedagogical and technical perspective
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi
Learning personalization has proven its effectiveness in enhancing learner performance. Therefore, modern digital learning platforms have been increasingly depending on recommendat…
A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design
H. Abu-Rasheed, C. Weber, J. Zenkert +3
The production of microchips is a complex and thus well documented process. Therefore, available textual data about the production can be overwhelming in terms of quantity. This af…