Lorenzo Vigentini

Dr. Lorenzo Vigentini serves as an Adjunct Senior Lecturer in the Computer Science and Engineering Department within the Faculty of Engineering at the University of New South Wales (UNSW). With a background spanning psychology, higher education teaching, and extensive IT/e-learning experience, he contributes significantly to the academic community through his expertise at the intersection of cognitive psychology, differential psychology, education, and human-computer interaction.

Vigentini's research focuses on learning processes, particularly examining how technology interacts with learning and the human-machine interface. His work emphasizes data-driven approaches to understanding educational patterns, with special interest in Learning Analytics and Educational Data Mining. He has led the development of the Learning Analytics and Educational Data Science research group at UNSW, positioning himself at the forefront of educational innovation. His research interests span technology evolution, student experience enhancement, Quality Assurance processes, and Quality Enhancement in educational contexts.

Vigentini's publication record demonstrates consistent focus on learning analytics applications across educational contexts, with recent work examining dashboard development for both secondary schools and higher education institutions. His research shows a clear progression from theoretical frameworks to practical implementations, particularly in MOOC analytics and personalized learning support systems. His work bridges the gap between educational theory and technological implementation, with an increasing emphasis on institutional adoption of data-driven approaches.

As a research leader, Vigentini has secured multiple significant grants totaling over AUD 1.9 million, including a major AUD 1.2 million UNSW 'Students as Partners' program in 2018. His grant history reflects a consistent focus on educational innovation, learning analytics implementation, and student experience enhancement across different educational contexts and platforms.

Dr. Vigentini has established the Learning Analytics and Educational Data Science research group at UNSW, creating a collaborative environment for exploring data-driven approaches to education. His work integrates quantitative and qualitative methodologies to develop comprehensive understanding of learning processes and technological interventions in educational settings.