My research interests include learning analytics, educational data mining, and the use of artificial intelligence in education. During my PhD, I developed and adapted data mining techniques to extract behavioral patterns from wearable sensors and e-learning data, with the goal of providing personalized feedback and supporting student reflection. I am also interested in applying data mining and AI to understand human behavior through physical activity sensors and other forms of human-computer interaction. Additionally, my work explores how these technologies can contribute to addressing critical social issues such as missing children, missing persons, child trafficking, and child sexual explotation.

Learning Analytics, Educational Data Mining, Artificial Intelligence in Education, Activity Recognition, Wearable Sensors, Multimodal Learning Data, Personalized Feedback Systems, Human-Computer Interaction, Social Good Applications of AI, Missing Persons, Child Protection

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