most citedSupporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring

2 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.HC20251 cited

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…

cs.AI2024

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.AI20242 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…