英文摘要 |
By investigating and identifying core computational thinking concepts and capabilities commonly discussed in the computer science area, this research aims to adopt two teaching practices to integrate computational thinking into Economics lectures. First, through the case study as a support and an illustration in Economics lectures, news reports will be collected and adapted as discussion cases with discussion questions focused on computational thinking. Second, three simulation scenarios that students might play would be developed to bring economic policymaking to life for students by letting them understand the economic environment of the country, make monetary and fiscal policy decisions, and analyze the consequences of their decision making. The evidence of the research shows that students’ learning performance in the Application of Programming course is positively correlated with grades of real-world case studies homework focused on computational thinking in the Economics course with statistical significance, which implies the teaching practices motivating students to develop and apply computational thinking concepts in interdisciplinary courses learning has reached a satisfactory result. In the regression analysis, students’ learning performance in the Application of Programming course in the first semester, grades of real-world case studies homework in the Economics course in the first semester, and in-class interactive online tests about the latest economic news and economics concepts in Economics course in the second semester, all have positive impacts on grades of real-world case studies homework in the Economics course in the second semester. It means the more students are equipped with computational thinking skills and dispositions, academic reflection skills, or are engaging in classroom interaction and participation, the better academic performance students will have on real-world case studies homework focused on computational thinking. |