Construction of a Hybrid Learning Effectiveness Evaluation Model Based on Self-developed APP
Take the Actual Teaching Case of the Award-Winning Course “Signal and System” as an Example
- DOI
- 10.2991/978-94-6463-230-9_133How to use a DOI?
- Keywords
- Blended Teaching; Signal and System; APP Development; Evaluation Model
- Abstract
At present, there are many blended teaching methods relying on the “Internet + Education” model, but most of them use existing software or online platforms, which inevitably leads to the problem of “less targeted and more limited”. In addition, the data analysis for testing the effectiveness of blended learning is relatively single, which inevitably leads to the problem of insufficient persuasiveness and expressive power .
Committed to solving the above problems, this article first develops a course learning assistant app based on Android studio, and implements the function of students building learning mainlines online and revisiting knowledge points offline. Secondly, in order to test the learning effectiveness, a push forward evaluation model of “Online Participation and Gain Calculation - Offline Satisfaction and Improvement Estimation (PGC-SIE)” was proposed, which comprehensively analyzes the effectiveness of blended teaching and lays the foundation for building a course brand.
- 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 - Kexin Liu AU - Fengli Qi AU - Xiaobing Deng PY - 2023 DA - 2023/09/04 TI - Construction of a Hybrid Learning Effectiveness Evaluation Model Based on Self-developed APP BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 1116 EP - 1123 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_133 DO - 10.2991/978-94-6463-230-9_133 ID - Liu2023 ER -