scholarly journals The Application of Participatory Learning in College Mathematics Teaching

2022 ◽  
Vol 10 (01) ◽  
pp. 130-136
Author(s):  
Miaomiao Yang ◽  
Yu Tian ◽  
Yulin Huang
Keyword(s):  
Mathematics Teaching ◽  
College Mathematics ◽  
Participatory Learning

scholarly journals Quality Evaluation Method of a Mathematics Teaching Model Reform Based on an Improved Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yun Yang
Keyword(s):  
Genetic Algorithm ◽  
Mathematics Teaching ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Teaching Quality ◽  
Teaching Model ◽  
College Mathematics ◽  
Improved Genetic Algorithm ◽  
Training Process ◽  
Convolutional Network

The poor comprehensiveness of the evaluation indexes of quality evaluation methods for the traditional college mathematics teaching model reform results in low accuracy of the evaluation outcomes. In this paper, aiming at this problem, a quality evaluation method for the college mathematics teaching model reform, based on the genetic algorithm, is proposed. The simulated annealing algorithm uses the weighted comprehensive objective evaluation multiobjective optimization effect that can effectively improve the accuracy of the evaluation results. In the training process, the gradient descent back-propagation training method is used to obtain new weights for the quality evaluation of college mathematics teaching mode reforms and to score various indicators and evaluate the indicators. The mean value of the outcomes is the result of mathematics teaching quality evaluation. The experimental results show that the training error of the convolutional network of the proposed method is significantly small. Based on the genetic algorithm that improves the convolutional network training process, the obtained quality evaluation outcomes are higher in accuracy, better in goodness of fitness function, and considerably lower than other state-of-the-art methods. We observed that the improved genetic algorithm has a more than 90% goodness of fit and the error is significantly lower, that is, 0.01 to 0.04, than the classical genetic algorithm.

scholarly journals The Investigation and Study on the Students' Satisfaction with the Quality of College Mathematics Teaching

2020 ◽  
Vol 07 (05) ◽  
pp. 62-69
Author(s):  
Hong Tian ◽  
Dongyan Dai ◽  
Qianhong Song ◽  
Yanfeng Li ◽  
Dong He ◽  
...  
Keyword(s):  
Mathematics Teaching ◽  
College Mathematics ◽  
Investigation And Study ◽  
Students Satisfaction

scholarly journals Research on college mathematics teaching reform for emerging engineering education

2020 ◽  
Vol 8 (6) ◽  
pp. 91-96
Author(s):  
Shuxia Wang ◽  
Keyword(s):  
Image Processing ◽  
Engineering Education ◽  
Mathematics Teaching ◽  
Core Curriculum ◽  
Teaching Method ◽  
Vital Role ◽  
College Mathematics ◽  
Student Centered ◽  
Teaching Reform ◽  
Teaching Paradigm

The construction of emerging engineering education puts forward new requirements for talent training. College mathematics, as a core curriculum in the university's basic curriculum, plays a vital role in talent training for emerging engineering. However, the current mathematics teaching emphasizes theory but neglects practice. To solve this problem, this paper proposed a teaching method based on a combination of case-studying of emerging engineering applications and student-centered teaching paradigm reform. Furthermore, this paper gave a specific example of instructional design based on image processing.

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