activity
20212025
most citedKnowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations

52 citations · 143 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AI2024★ 52 cited

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…

cs.HC2024

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…

cs.IR2024★ 22 cited

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…

cs.AI2024★ 2 cited

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…