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     Advance Journal of Food Science and Technology


A Learning Quality Evaluation Model in Food Sciences and Engineering in the MOOC Learning

Zhihui Wang, Jingjing Yang and Xiao Zhang
School of Information Science and Engineering, Hebei North University, Zhangjiakou, Hebei, China
Advance Journal of Food Science and Technology  2016  11:754-758
http://dx.doi.org/10.19026/ajfst.11.2776  |  © The Author(s) 2016
Received: August ‎24, ‎2015  |  Accepted: September ‎11, ‎2015  |  Published: August 15, 2016

Abstract

This study proposes a knowledge unit-based learning quality evaluation model in food sciences and engineering that is adapted to the MOOC environment based on the fuzzy comprehensive evaluation method with the combination of the characteristics of the classroom-based learning pattern. The result of the teaching experiment proves that this model in food sciences and engineering is able to enhance efficiently the ability of the learning feedback acquisition and the processing capacity of an e-learning system, promoting the collaboration between the on-line educators and strengthening the learning quality monitoring function provided by the educator. It has played a significant role in the improvement of the knowledge unit-based learning quality. Hence, this model in food sciences and engineering will have a promising prospect of application with the rapid development of the MOOC-based learning pattern.

Keywords:

Food sciences and engineering, learning quality evaluation, MOOC,


References