Problem-Based Learning in Data Science Course: Analysis of Online Learning during the Covid-19 Pandemic

This paper presents the Live Interactive Streaming Classroom (LISC) system model which can be applied to the Problem-Based Learning (PBL) and motivate students to solve problems in a real-life setting with guidance from teachers via online learning. In this study, the students used self-learning methods for interactive class. The class was managed through the online streaming system by the video conference applications. The study showed that the students' coding and real- life problem solving skills were improved from hand-on experience. The LISC system model stimulated students' learning levels. This was proved by applying the proposed method to the Data Science class at Silpakorn University, Thailand, joined by an instructor from Japan. When the course ended, the evaluation from the participating students showed that they were much satisfied that their skills were up-leveled for coding and real-life problem solving, and their attitudes towards the Data Science class improved. It implied and confirmed that the proposed method was efficient to the students' practical learning level, among the new normal living period in the Coronavirus pandemic.