Building creative and active computer science lessons using the flipped classroom approach

Abstract

This quantitative study aims to examine how the flipped classroom approach to teaching computer science, with an eye on data science and machine learning, affects student learning outcomes. Based on the findings of this research, it is recommended that students studying databases use YouTube videos as a pre-class resource, work together using MySQL software during class, and complete their own MySQL-based assignments outside of class. Machine learning (linear regression) findings show that extracurricular activities before, during, and after school help students learn and grow in their knowledge and ability to manage databases. Similarly, using a decision-tree based approach, data scientists have identified six prediction models for implementing the flipped classroom. Last but not least, the flipped classroom enhances the teaching-learning environment by having students engage in more imaginative and physical forms of instruction.