Name
Abstract | ||
|---|---|---|
Owing to the promotion and development of big data, artificial intelligence and new engineering, the demand for massive open online workbench is becoming more and more urgent, and as the software evolves towards the form of Cloudware, it provides an opportunity for the construction of the massive open online workbench. This paper explores the online training needs under the guidance of cognitive science, and pioneers the concept of Massive Open Online Workbench (MOOBench), and a complete set of the methods and critical technologies of building the large-scale cloud software training platform is systematically given. This paper verifies the effectiveness of the proposed approach in large-scale user experience and cloud resource utilization by constructing the Data science and big data training platform and the practical application in the actual curriculum in the past two years. It also provides support of learning theory and information technology for building an excellent education-oriented training environment.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3321408.3322853 | Proceedings of the ACM Turing Celebration Conference - China |
Keywords | Field | DocType |
big data, cloudware, learning science, user experience, workbench | Workbench,Software engineering,Computer science | Conference |
ISBN | Citations | PageRank |
978-1-4503-7158-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Wang | 1 | 0 | 0.68 |
| Libo Huang | 2 | 82 | 25.47 |
| dong guo | 3 | 11 | 6.44 |
| Yanjun Xu | 4 | 0 | 0.34 |
| Fenglin Bi | 5 | 0 | 0.34 |
| Jun Tang | 6 | 0 | 0.34 |