2021, Caroni, Anna, Nikoulina, Anya

Purpose: Problem-based learning (PBL) provides an appropriate instructional strategy to engage student in active learning, enhance student interest, improve retention, and promote problem-solving and critical thinking skills. The aim of this study is to report on student and faculty experiences in a problem-based learning course consisting of a preparation phase and a reporting phase during the COVID-19 lockdown and present potential implications for online PBL course design. Study design/methodology/approach: A survey was conducted to compare the two instructional PBL settings, i.e. face-to-face and online. Descriptive statistics as well as a general inductive approach for analysing the qualitative data are used to evaluate the results of the survey. Findings: The results show that students appreciated the new small group discussion format in the online PBL course over the whole class discussion in the face-to-face setting and that an online PBL course can help students integrate knowledge and promote the deep learning approach. Originality/value: The study contributes to PBL research by examining student and faculty experiences in a case-based PBL course. A new instructional online PBL course design is presented, with the main change in the reporting phase. The study shows that the shift from physical to online setting has no detectable negative impact on the ability of students to achieve set learning goals if the PBL approach is slightly modified.

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.