Predicting and Analyzing Educational Data Using Neural Networks

Author:

He Xiangting1ORCID

Affiliation:

1. Hubei Second Normal University, China

Publisher

ACM

Reference16 articles.

1. Should Robots Replace Teachers? Mobilisation of AI and Learning Analytics in Education

2. Greller , W. , & Drachsler , H. ( 2012 ). Translating learning into numbers: A generic framework for learning analytics. Journal of Educational Technology & Society, 15(3), 42-57 . Greller, W., & Drachsler, H. (2012). Translating learning into numbers: A generic framework for learning analytics. Journal of Educational Technology & Society, 15(3), 42-57.

3. Huang , Z. , Chen , H. , Hsu , C. J. , Chen , W. H. , & Wu , S. ( 2004 ). Credit rating analysis with support vector machines and neural networks: a market comparative study. Decision support systems, 37(4), 543-558 . Huang, Z., Chen, H., Hsu, C. J., Chen, W. H., & Wu, S. (2004). Credit rating analysis with support vector machines and neural networks: a market comparative study. Decision support systems, 37(4), 543-558.

4. Galbraith C. S. Merrill G. B. & Kline D. M. (2012). Are student evaluations of teaching effectiveness valid for measuring student learning outcomes in business related classes? A neural network and bayesian analyses. Research in Higher Education  53 353-374. Galbraith C. S. Merrill G. B. & Kline D. M. (2012). Are student evaluations of teaching effectiveness valid for measuring student learning outcomes in business related classes? A neural network and bayesian analyses. Research in Higher Education  53 353-374.

5. Li , S. , Chen , J. , & Xiang , J. ( 2020 ). Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data. Neural computing and applications, 32 , 2037-2053. Li, S., Chen, J., & Xiang, J. (2020). Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data. Neural computing and applications, 32, 2037-2053.

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