Yi-Fang Wu

Yi-Fang Wu is an Associate Professor in the Informatics department at New Jersey Institute of Technology (NJIT). Their research focuses on educational technology, artificial intelligence, and social media analysis, with notable work on automated feedback systems for learning and early detection of fake news. They have published extensively in journals and conferences like ACM Transactions on Information Systems and AAAI.

Research interests include text mining, adaptive learning systems, and machine learning applications in education and social media. Their recent work emphasizes improving student learning through writing-to-learn activities and combating misinformation through AI-driven detection systems.

Collaborations span educational technology and social media analytics, with impactful contributions such as FNED for fake news detection and automated feedback systems for formative assessment. No specific grants or awards are listed in the provided information.

Labs or teams associated with their work are not explicitly mentioned, but their research often involves interdisciplinary collaboration with computer science and education experts.