Our Research

Our work around eDoer focuses on developing the next generation of personalized online learning systems. The research responds to the growing demand for high-quality, adaptive, and skill-oriented digital education. Today’s learners expect more than just content—they seek platforms that help them acquire job-relevant skills, explore personal interests, and access curated knowledge across diverse domains. To meet these needs, our research investigates several key questions and themes:

• How can AI and expert knowledge be combined to curate and personalize learning experiences that are both high-quality and relevant?
• What learning experience designs best support life-long learning , professional upskilling, and interest-driven exploration?
• How can content from diverse sources (experts, open web, existing materials) be transformed into structured, adaptive learning paths?
• What are the technical and pedagogical requirements to develop a scalable, easy-to-use platform for both creators and learners?
• How can learner preferences and performance data be used to improve recommendation systems and curriculum adaptability?

Our multidisciplinary approach integrates research in technology-enhanced learning, artificial intelligence, user modeling, and software engineering to create a dynamic, engaging learning ecosystem through eDoer.