The Proposal of PAI Adaptive Learning Model Inspired by US Application-oriented Graduate Program
Use Northeastern University as an Example
- 10.2991/assehr.k.211011.065How to use a DOI?
- project development approach, Stacey Matrix, learning curve, PDCA cycle, continuous improvement
It is necessary and urgent for the universities to explore innovative ways of talent training and to provide qualified talents to the market with the increasing demand for application-oriented talents. Most of the existing studies explore the good practices of talent training from the teaching perspective. Inspiring from the application-oriented master program of Northeastern University, this essay proposes a new adaptive learning model from the students’ perspective. The essay utilizes many management concepts such as the PDCA cycle, Stacey Matrix, and learning curve to analyze the statistics obtained from observation and questionnaire. Through statistic analysis, the essay verifies two assumptions and develops the learning model. The PAI adaptive learning model uses a combination of development approaches during different phases of the learning curve to help to maximize the effectiveness and efficiency of talent training. In addition, the essay discusses how to utilize the enterprise environmental factors of the model to promote learning growth. To conclude, the PAI adaptive learning model provides an actionable approach that can be used for application-oriented talent training and common systematic learning.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qi Ni AU - Meng Li PY - 2021 DA - 2021/10/12 TI - The Proposal of PAI Adaptive Learning Model Inspired by US Application-oriented Graduate Program BT - Proceedings of the 2021 6th International Conference on Modern Management and Education Technology（MMET 2021） PB - Atlantis Press SP - 361 EP - 365 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211011.065 DO - 10.2991/assehr.k.211011.065 ID - Ni2021 ER -