Sebastian Chalarca

AI Tutor: Transforming Education with Intelligent Learning

Fazel Keshtkar, Sebastian Chalarca, G. Bardelli, Allan Ilyasov et autres

This poster presents an AI-powered intelligent tutoring system to enhance programming education through personalized and adaptive learning experiences. Using Generative AI, Machine Learning, and Natural Language Processing (NLP), our AI Tutor dynamically adjusts instructional content to match student needs, providing real-time feedback …

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Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing

Asim Abbas, Sebastian Chalarca, Iram Wajahat, Fazel Keshtkar et autres

Efficient sharing of scientific knowledge is vital for research advancement and reproducibility. However, PDF dominance poses challenges in adhering to FAIR principles (Findability, Accessibility, Interoperability, Reusability). Some web-based frameworks enhance content interoperability using RDF and linked data but often target technical users. …

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AI Tutor: Student's Perceptions and Expectations of AI-Driven Tutoring Systems: A Survey-Based Investigation

Fazel Keshtkar, Neelesh Rastogi, Sebastian Chalarca, Syed Ahmad Chan Bukhari

Generative AI (GenAI) and LLMs have started to influence how teachers teach and studentslearn, including the ones in programming languages and tutoring. However, there have been debates onwhether AI could be beneficial to students’ learning or not. One way to see this …

Enhancing Biomedical Knowledge Representation Through Knowledge Graphs

Sebastian Chalarca, Asim Abbas, Mutahira Khalid, Fazel Keshtkar et autres

There is a plethora of information related to the biomedicaldomain on the internet. Unfortunately, retrieving thisinformation online is challenging because of insufficientsemantic metadata embedded within the web documents thathelp search engines interpret the biomedical information.Semantic annotators have partially bridged this gap, yetthese …

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Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach

Asim Abbas, Mutahira Khalid, Sebastian Chalarca, Fazel Keshtkar et autres

An abundance of biomedical data is generated in the form of clinical notes, reports, and research articles available online. This data holds valuable information that requires extraction, retrieval, and transformation into actionable knowledge. However, this information has various access challenges due to …

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