VISTA Lab focuses on the design and implementation of interactive, adaptive learning analytics platforms that better contextualize the role of AI in teaching and learning environments. We investigate how real-time, data-driven feedback systems can support personalized learning, inform instructional practices, and improve learner outcomes. Our work focuses on developing intelligent platforms that:
Adapt to diverse learner needs and contexts
Integrate seamlessly into formal and informal educational settings
Empower educators with actionable insights grounded in pedagogical relevance
Bridge the gap between artificial intelligence and human-centered learning design
Our lab conducts research on educational data visualization. We aim to explore data visualization strategies or tools that can support to promote deeper understanding of learning processes, instructional strategies, and educational equity. Our research is rooted in the belief that well-designed visualizations can transform how educators, students, and stakeholders engage with data to inform practice and improve outcomes.
Enhance data visualization literacy, focusing on the ability to read, interpret, and communicate using visual data.
Design innovative learning experiences that support skill development in data understanding.
Develop pedagogical strategies to boost confidence and competence in interpreting data visuals.
Help educators and students understand the connections between data types, analytical goals, and appropriate visualization techniques.
VISTA Lab works on developing and evaluating approaches to measure scientific progress within a specific research domain. We explore how data-driven methods—such as bibliometric analysis, citation network modeling, and topic evolution tracking—can be used to map the structure, growth, and trajectory of scientific knowledge over time. Our research in this area aims to:
Identify emerging trends, research gaps, and influential contributions
Understand the dynamics of interdisciplinary knowledge development
Support strategic decision-making for funding agencies, institutions, and research communities
Provide visual and interactive tools for researchers to explore the evolution of their fields