2020, Caroni, Anna, Nikoulina, Anya, Staley, Larssyn

Learning engagement is a complex and multifaceted phenomenon. The ability to engage is not inherent but subject to a variety of factors. Motivational readiness as well as contextual factors, such as deep or surface learning approaches, are said to affect student engagement. In this study, we examine the relationship between student engagement and learning styles, as well as contextual factors, such as task types and assessment form and student employment outside the university. Based on a quantitative survey, we conclude that students’ ability to engage in deep learning is interrelated with their engagement, learning style and their motivation to start their studies. In addition, our findings indicate that student’s engagement in deep learning is driven by personal development, work ethic or learning strategy. The results of the study confirm that engagement is dependent on many factors, which must be understood and taken into consideration when teaching.

2019, Caroni, Anna

This thesis consists of three chapters. The first is entitled ’Sequential Information Acquisition in a Team’, the second ’A sequential information acquisition model with two agents’ and the third is entitled ’Convertible Debt, Ownership Structure and the Accounting System’. All of the three chapters focus on the use of information regarding an investment or converting decision. Information is the key element for efficient decision-making. The precision and, consequently, the extent of the information content is as important for any player in our economy as cost-effectiveness.