Application of BP Neural Network in Classification and Prediction of Blended Learning Achievements

Author:

Zhang Liu,Chen Yi-Fei,Pei Zi-Quan,Yuan Jia-Wei,Tang Nai-Qiao

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Materials Science

Reference20 articles.

1. The philosophical and pedagogical underpinnings of active learning in engineering education;Christie;European Journal of Engineering Education,2017

2. Effect of uninterrupted time-on-task on students’ success in massive open online courses (MOOCs);Lee;Computers in Human Behavior,2018

3. A machine learning-based methodology to predict learners’ dropout, success or failure in MOOCs;Mourdi;International Journal of Web Information Systems,2019

4. Exploring students engagement towards the learning management system (lms) using learning analytics;Ismail;Computer Systems Science and Engineering,2021

5. Impact of blended learning on students’ performance, classification and satisfaction in a practical introductory engineering course;Shen;International Journal of Engineering Education,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Intelligent Classification Method for Online Teaching Student Performance Data Based on Improved Decision Trees;2024 6th International Conference on Computer Science and Technologies in Education (CSTE);2024-04-19

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