Leader of the Educational data mining group within UH-DAIS led by Dr. Christoph Eick. Since 2013, Dr. Rizk has focused her research on Educational Data mining within UH Data analysis and Intelligent Systems Lab (UH-DAIS) lead by Dr. Eick. 

Data Science and Data Mining:

• Educational Data Mining
• Prediction
• Clustering
• Association Rules

Research Projects:

• Using coding skills to enhance recruitment and retention of undergraduates in STEM
• Question asking strategies for academic early warning systems
• Data science techniques to improve academic performance and enhance student retention
• Data analytics to maximize algorithmic thinking
• Finding and evaluating group structure in classroom networks

Contributions & Impact:

• Developed machine learning models to predict student performance frameworks
• Developed web-based expert system for evaluating college courses
• Designed performance prediction and self-assessment systems
• Developed strategies for academic early warning systems