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OUR EXPERTISE

Our interdisciplinary research spans a range of domains, including learning analytics and educational data mining, trustworthy and explainable AI in education, and data visualization for uncovering actionable learning insights. We are particularly committed to the design of equitable educational technologies that support diverse learner needs, and explore how human–AI collaboration can be optimized to enhance teaching and learning experiences in real-world educational contexts. Read more

The VISTA Lab focuses on creating innovative solutions at the intersection of AI, data visualization, and educational technology. We're dedicated to developing tools and methods that enhance learning experiences while ensuring equity, transparency, and trustworthiness in AI applications. Read more

CHECKOUT OUR FEATURED PROJECTS

AI IN EDUCATION

Investigating AI-driven personalized learning tools, ethical teaching enhancements, and addressing fairness/privacy challenges in modern education.

SCIENTIFIC PROGRESS ANALYSIS

Mapping knowledge evolution via bibliometrics/NLP to identify research trends and inform science policy/gap analysis.

AI LITERACY IN EDUCATION

Building critical AI engagement skills for educators/students to ethically navigate AI-powered learning ecosystems.

LEARNING ANALYTICS

Developing equitable data frameworks and predictive models to optimize student support and adaptive teaching strategies.

MEET THE TEAM

Dr. Bo Pei, Ph.D.

Assistant Professor at USF

Tampa, FL USA

Biography

I am currently an Assistant Professor in the Instructional Technology Program at College of Education at the University of South Florida, Tampa, USA. I do interdisciplinary research in Computer Science and Education, seeking how to enhance the use of AI technologies in the actual teaching and learning settings. I am passionate about solving educational problems with data-driven approaches and telling educational stories with engaging and effective visualization strategies. I investigate analytical models/approaches to better model students' learning processes using large-scale, heterogenous learning data to promote personalized learning

Research Interests

AI in Education, Educational Data Mining, Educational Data Visualization, HCI

XILONG JING
Ph.D. Candidate in Educational Measurement and Research
ZHAOWEI ZHANG
Ph.D. student in Instructional Technology
YUXIN ZHONG
Ph.D. student in Technology in Education and Second Language Acquisition
XIAOJIAO SUN
Ph.D. student in Instructional Technology
KARTHIKEYA MOTURI
M.S. Student in Computer Science
YASWANTH BELLAMKONDA
M.S. Student in Computer Science
Poorna Chand Addala
VISTA Alumni - M.S. in Business Analytics and Information Systems