Danielle Allessio

Danielle Allessio is a Lecturer and Program Coordinator for Learning, Media, and Technology at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. Her work focuses on educational technology, intelligent tutoring systems, and K-12 learning innovations. She leads recruitment, professional development, and content development efforts while managing undergraduate and graduate students. Allessio specializes in creating adaptive learning technologies that consider students' math skills, affective states, and metacognition.

Her research emphasizes real-time personalization of educational tools, particularly for Hispanic/English Language Learners and underrepresented groups. She collaborates with the Advanced Learning Technologies Lab to develop systems like COVES and ATL-BP, which use AI to enhance student engagement through facial expression analysis and cognitive modeling. Notable projects include localizing math tutoring systems for Spanish-speaking students in Latin America and exploring pre-service teachers' perceptions of AI-generated hints.

Allessio's contributions span datasets (e.g., ATL-BP) and models for affect transfer learning, alongside interventions using computer vision to improve student focus. She advocates for ethical integration of AI in education and addresses challenges in measuring engagement through multimodal data analysis.