Wad Ghaban
Papers
1
Total Citations
69
H-Index
1
About
Wad Ghaban is a researcher whose work sits at the intersection of artificial intelligence, education, and human–robot interaction. Her primary research areas include natural language processing (NLP), educational robotics, and the application of intelligent systems to enhance learning environments. Ghaban’s most notable contribution is her widely cited 2023 systematic literature review on the applications of robots and NLP in education, which has already garnered 69 citations—a strong indicator of its impact on the field. In this work, she systematically maps how NLP techniques can improve communication between learners and robotic systems, and how these technologies can be integrated into pedagogical frameworks to support personalized and interactive learning. Her research highlights the potential of NLP to transform educational tools by enabling more natural, adaptive, and cooperative interactions between students and machines. Ghaban’s work is particularly valuable for researchers and educators interested in the practical deployment of AI in classrooms, and her systematic approach provides a foundational reference for future studies in this rapidly evolving domain.
Research Focus
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