An Evaluation Model of Academic Performance of Electronic Information Science and Technology Based on Complex Network Theory
- DOI
- 10.2991/meici-17.2017.107How to use a DOI?
- Keywords
- Academic performance evaluation; Network model; Complex network; Model
- Abstract
Student evaluation is an important element in the teaching process. Student evaluation contains many elements, the most important is the evaluation of its results. But the test scores can not dynamically respond to a student's learning state. This paper presents a student achievement evaluation model of electronic science and technology based on complex network theory. We firstly construct a curriculum influence value network using the interaction relationship between the courses of electronic science and technology. Then, the test scores of each subject are included in the curriculum influencing value network to obtain the current performance evaluation network model of students. According to the structural characteristics of current performance evaluation network model, we can evaluate the quality of students' professional training. In this article, we use this model to assess the quality of the 35 electronic science and technology graduates. The results show that the evaluation of the network model can accurately measure the quality of electronic information engineering student professional training.
- Copyright
- © 2017, 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 - Qingyu Zou AU - Dejun Liu PY - 2017/10 DA - 2017/10 TI - An Evaluation Model of Academic Performance of Electronic Information Science and Technology Based on Complex Network Theory BT - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017) PB - Atlantis Press SP - 553 EP - 557 SN - 1951-6851 UR - https://doi.org/10.2991/meici-17.2017.107 DO - 10.2991/meici-17.2017.107 ID - Zou2017/10 ER -