Proceedings of the 2016 International Conference on Education, E-learning and Management Technology

A Quality Assurance Scheme of Higher Engineering Education Accreditation Based on Expert Opinions Integration

Authors
Yujie Feng, Bin Duan, Xiaoxiao Guo
Corresponding Author
Yujie Feng
Available Online August 2016.
DOI
https://doi.org/10.2991/iceemt-16.2016.23How to use a DOI?
Keywords
Coordinated decision making mechanism, Expert opinions integration, Knowledge automation, Machine learning, Teaching evaluation.
Abstract
With the constantly advancing of university engineering education accreditation, in the curricular of assessment of teaching quality, establishing an effective quality guarantee system that meets the standard of engineering education accreditation becomes one of issues that need to be addressed urgently in higher education reform. The paper proposes a new Higher Engineering Education Accreditation evaluation scheme to investigate the issue of teaching evaluation in higher education where decision management cycle makes a decision based on integrated expert opinions and generated knowledge in which machine learns, analyzes huge chunks of education data and makes predictions. A collaboration decision mechanism is implemented to assist to make multi-target cooperative decisions for evaluation of teaching, which provides more high-quality expert opinions for teaching. A practical case study has been successfully validated for the adaptability and practicability of the quality assurance scheme where Bayesian techniques process many variables and large of observations to achieve expert opinions integration. The scheme reached a degree of predictive ability, generalization ability, and self-improvement and it can improve the efficiency of teaching management decision.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yujie Feng
AU  - Bin Duan
AU  - Xiaoxiao Guo
PY  - 2016/08
DA  - 2016/08
TI  - A Quality Assurance Scheme of Higher Engineering Education Accreditation Based on Expert Opinions Integration
BT  - 2016 International Conference on Education, E-learning and Management Technology
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iceemt-16.2016.23
DO  - https://doi.org/10.2991/iceemt-16.2016.23
ID  - Feng2016/08
ER  -