Research on the Blended Learning Mode of Software Engineering Based on Study Master Platform
- DOI
- 10.2991/978-94-6463-034-3_85How to use a DOI?
- Keywords
- Information technology; Blended learning; Online learning; Study master platform; Big data
- Abstract
Software Engineering, which is an information technology course, is to cultivate students’ comprehensive application ability in the process of software development. This article aims to study the blended learning mode of software engineering based on multimedia information technology – Study Master platform. The teaching team also uses the big data techniques to reshape teaching objectives, reconstruct teaching content, strengthen key and difficult points. The Study Master platform provides videos, online tests, development materials, etc. It can not only make students more flexible to master their own learning time, but also make them more actively participate in the course learning. The strategies of Study Master platform, online courses, flipped learning are all throughout the whole teaching process. Moreover, various evaluation methods are adopted, including online process assessment, practice assessment, and traditional examination. The survey is also sent to learners which is used to verify the effect of the Study Master platform.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wei Xu PY - 2022 DA - 2022/12/23 TI - Research on the Blended Learning Mode of Software Engineering Based on Study Master Platform BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 824 EP - 833 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_85 DO - 10.2991/978-94-6463-034-3_85 ID - Xu2022 ER -