Jibril Albachir Frej

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Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input ...

Traditional example-based learning methods are often limited by static, expert-created content. Hence, they face challenges in scalability, engagement, and effectiveness, as some learners might struggle to relate to the examples or find them relevant. To a ...

The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of learners ...

In recent decades, we have witnessed the democratization of AI-powered Educational Technology (AI-EdTech). However, despite the increased accessibility and evolving technological capabilities, its adoption is accompanied by significant challenges, predomin ...

Explainable Artificial Intelligence (XAI) plays a crucial role in enabling human understanding and trust in deep learning systems, often defined as determining which features are most important to a model's prediction. As models get larger, more ubiquitous ...

Feedback plays a crucial role in learning by helping individuals understand and improve their performance. Yet, providing timely, personalized feedback in higher education presents a challenge due to the large and diverse student population, often resultin ...

Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institution, ratings, and reviews, to make their recommendation. However, these system ...

Time series is the most prevalent form of input data for educational prediction tasks. The vast majority of research using time series data focuses on hand-crafted features, designed by experts for predictive performance and interpretability. However, extr ...

Jibril Albachir Frej

Chat with Graph Search

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes

GELEX: Generative AI-Hybrid System for Example-Based Learning

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

AI or Human? Evaluating Student Feedback Perceptions in Higher Education

Course Recommender Systems Need to Consider the Job Market

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education