Research on the Data Driven Practice Teaching Mode: Take the Didi Data Set as Example
| Autor: | Hou Xiang Liu, Shenghan Zhou, Chao Fan Wei, Xing Pan, Yiyong Xiao, Bang Chen, Wen Bing Chang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Materials science
business.industry 020209 energy 05 social sciences Big data 050301 education Teaching mode 02 engineering and technology Data science Data-driven Data set ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering business 0503 education |
| Zdroj: | Materials, Computer Engineering and Education Technology. |
| ISSN: | 1662-0356 |
| DOI: | 10.4028/www.scientific.net/ast.105.348 |
| Popis: | The paper proposed a practice teaching mode by making analysis on Didi data set. There are more and more universities have provided the big data analysis courses with the rapid development and wide application of big data analysis technology. The theoretical knowledge of big data analysis is professional and hard to understand. That may reduce students' interest in learning and learning motivation. And the practice teaching plays an important role between theory learning and application. This paper first introduces the theoretical teaching part of the course, and the theoretical methods involved in the course. Then the practice teaching content of Didi data analysis case was briefly described. And the study selects the related evaluation index to evaluate the teaching effect through questionnaire survey and verify the effectiveness of teaching method. The results show that 78% of students think that practical teaching can greatly improve students' interest in learning, 89% of students think that practical teaching can help them learn theoretical knowledge, 89% of students have basically mastered the method of big data analysis technology introduced in the course, 90% of students think that the teaching method proposed in this paper can greatly improve students' practical ability. The teaching mode is effective, which can improve the learning effect and practical ability of students in data analysis, so as to improve the teaching effect. |
| Databáze: | OpenAIRE |
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