| 英文摘要 |
The development of problem-solving, self-directed learning, cross-disciplinary integration, and IT application skills is crucial for university students. The traditional mode of teaching and learning is no longer sufficient to cultivate these critical competencies. Therefore, teaching innovation has become an urgent issue. Additionally, enhancing students' interest in learning and improving learning effectiveness are also important considerations. This research applies an integrated teaching strategy of Education 4.0, problem-based learning (PBL), and big-data analysis tools for curriculum design and teaching practice. Students are guided on how to use suitable tools, such as Qlik Sense visualization software, Google Analytics, and Python programs for web crawling, to collect and analyze data and solve problems. The study uses a quasi-experimental design for the two classes. The experimental group (N=46) adopted the integrated teaching strategy of“Education 4.0, PBL, and big-data analysis tools”, while the control group (N=56) adopted the integrated teaching strategy of“Education 4.0, lecturing and hands-on, and big-data analysis tools”. The research findings are presented below: (1) The students in the experimental group believe that the PBL integrated curriculum design can assist them in exploring case problems, considering problem-solving possibilities, attempting various approaches to solve problems, and acquiring problem-solving methods and processes. It can also improve their problem-solving skills and self-directed learning. (2) The experimental group demonstrated significantly better learning performance than the control group on the homework assignments and final report. The developed teaching strategy has the potential to increase student participation in the experimental group. The developed teaching strategy can be used as a reference for the curriculum design and teaching practices. |