Research on the Design of Teaching Guidance APP Based on the Peak-End Rule
- DOI
- 10.2991/978-94-6463-012-1_41How to use a DOI?
- Keywords
- Peak-End Rule; APP Design; User Experience; Online Learning; Service Design
- Abstract
In view of the current problems such as confusing interface, cumbersome operation, and poor experience of educational learning APPs, this paper proposes a design method for educational learning APPs based on the peak-end law, so as to improve the overall user experience. Based on the peak-end law, the literature research method and user interview method are used, combined with the service design theory, to find the peak and end time of users in the process of use, and fully explore the needs and preferences of users. On this basis, the design principles of educational learning APPs are determined, and the design practice is carried out. This method is used to help users get the best experience in the whole service process, so that they can generate continuous usage behavior. In particular, it enables student users to have an efficient learning experience, so that they can gain a sense of learning achievement, and provide a variety of design ideas for the design of such APPs.
- 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 - Xi Zeng AU - Xinyu Zhang AU - E. Zheheng AU - Mingxing Luo AU - Xueye Zhong PY - 2022 DA - 2022/12/09 TI - Research on the Design of Teaching Guidance APP Based on the Peak-End Rule BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 364 EP - 373 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_41 DO - 10.2991/978-94-6463-012-1_41 ID - Zeng2022 ER -