The Analysis of Student’s Learning Outcomes Based on OBE Model: Taking An Introduction to Business as an Example
Authors
Lei Zhang1, *, Qiaomei Liu2, *
1School of Foreign Languages, Neusoft University of Information, Dalian, Liaoning, China
2School of Foreign Languages, Neusoft University of Information, Dalian, Liaoning, China
*Corresponding author.
Email: zhanglei@neusoft.edu.cn
*Corresponding author.
Email: liuqiaomei@neusoft.edu.cn
Corresponding Authors
Lei Zhang, Qiaomei Liu
Available Online 30 December 2022.
- DOI
- 10.2991/978-2-494069-89-3_203How to use a DOI?
- Keywords
- Outcomes Based Education (OBE); Intended Learning Outcomes (ILO); Formative Assessment; Summative Assessment
- Abstract
Student’s learning outcomes is the driving force in OBE education system, and it needed to be analysed in a scientific approach. This article takes the course An Introduction to Business as an example, and analyses student’s learning outcomes under the guidance of OBE model. Through qualitative and qualitative analysis of students’ formative and summative assessment scores, the framework of analysing student’s’ learning outcomes is constructed, which sheds light on how such an analysis approach may be best integrated into the OBE model.
- Copyright
- © 2022 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 - Lei Zhang AU - Qiaomei Liu PY - 2022 DA - 2022/12/30 TI - The Analysis of Student’s Learning Outcomes Based on OBE Model: Taking An Introduction to Business as an Example BT - Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022) PB - Atlantis Press SP - 1768 EP - 1774 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-89-3_203 DO - 10.2991/978-2-494069-89-3_203 ID - Zhang2022 ER -