Application of Blended Teaching in Software Architecture for Graduate Students
- DOI
- 10.2991/978-2-38476-062-6_75How to use a DOI?
- Keywords
- Software Architecture; Blended Teaching; BOPPPS; Attribute Driven Design
- Abstract
Software Architecture for graduate students has characteristics of high degree of abstraction, complex content and strong practice. According to these characteristics, teaching concept of BOPPPS is introduced into the course blended teaching. Six links of BOPPPS are identified as the introduction (Bridgein), Objective (Objective), Pre-assessment, interactive Learning, Post-assessment and Summary (Summary). The relationship between these links and the three stages of blended teaching, namely before class, during class and after class, is made clear. A hybrid teaching model based on BOPPPS is established, and the application of the model in Software Architecture is illustrated taking the design driven by key quality attributes as an example. The practice shows that the blended teaching based on BOPPPS improves students’ enthusiasm and interest in teaching, and then promotes the improvement of teaching quality and the achievement of teaching objectives.
- 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 - Le Wei AU - Qiuyun Zhao PY - 2023 DA - 2023/07/11 TI - Application of Blended Teaching in Software Architecture for Graduate Students BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 588 EP - 596 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_75 DO - 10.2991/978-2-38476-062-6_75 ID - Wei2023 ER -