Key Areas of DILIGENT

1. Data Management
   At the core of DILIGENT’s research is the efficient and strategic handling of data across its entire lifecycle — from collection and storage to processing and governance. We explore frameworks and tools for ensuring data integrity, accessibility, and security while enabling meaningful integration across departments and platforms. We aim to support better data practices by exploring ways to organize, manage, and share information effectively for more informed decisions based on the data available. 

2. Adaptive Learning Systems
   We explore ways to support more personalized learning experiences by considering individual learner profiles, progress, and preferences. Through the use of data and technology, we aim to develop adaptive systems that can adjust content delivery and feedback to better suit learners’ needs — helping to enhance engagement and support learning across different contexts. 

3. Learning Style and Behavior
   Understanding how learners engage with information is vital for effective pedagogy. DILIGENT investigates learning styles, cognitive behaviors, and engagement patterns using data-driven methodologies and survey modeling. This research informs the design of more responsive teaching strategies, assessments, and learning technologies tailored to diverse learner profiles.

4. Business Analytics and Decision Support
   We use data analytics methods such as modeling, visualizations, and simulations to help organizations better understand their data. We aim to support more informed decision-making by presenting useful insights in clear and practical ways, contributing to everyday planning and operations. 

5. Knowledge-based and Expert Systems
   DILIGENT looks into ways to build systems that can offer helpful guidance based on expert knowledge. By using structured rules and organized information, these systems aim to support decision-making in areas like education and public services. We also explore how to make these systems more understandable, accurate, and trustworthy for users. 

6. AI for Decision-Making and Automation
   We explore how artificial intelligence can be used to support everyday tasks and improve decision-making. Our work looks at how AI tools might help organizations become more efficient and better able to respond to changing needs in a digital environment.