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A Radial Basis Function Neural Network Prediction Model Based on Association Rules

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成果类型:
会议论文
作者:
Chen, Meng-yuan*;Jong, Morris Siu-yung;Tong, Ming-wen;Chai, Ching-sing
通讯作者:
Chen, Meng-yuan
作者机构:
[Chai, Ching-sing; Chen, Meng-yuan; Jong, Morris Siu-yung] Chinese Univ Hong Kong, Fac Educ, Dept Curriculum & Instruct, Hong Kong, Peoples R China.
[Tong, Ming-wen] Cent China Normal Univ, Dept Educ Informat Technol, Wuhan, Hubei, Peoples R China.
通讯机构:
[Chen, Meng-yuan] C
Chinese Univ Hong Kong, Fac Educ, Dept Curriculum & Instruct, Hong Kong, Peoples R China.
语种:
英文
关键词:
Prediction model;artificial neural network;association rules;learning analytics
期刊:
26TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2018)
年:
2018
页码:
364-366
会议名称:
26th INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION
会议时间:
NOV 26-30, 2018
会议地点:
Ateneo Manila Univ, Ateneo Lab Learning Sci, Metro Manila, PHILIPPINES
会议主办单位:
Ateneo Manila Univ, Ateneo Lab Learning Sci
会议赞助商:
Asia Pacific Soc Comp Educ, DOST-PCIEERD, TORRE LORENZO, Smart, PLDT, Elena P Tan Fdn, Bayanihan Ctr
主编:
Yang, JC Chang, M Wong, LH Rodrigo, MMT
出版地:
NO 300, JUNGDA RD, JHONGLI DISTRICT, TAOYUAN CITY, 320, TAIWAN
出版者:
ASIA PACIFIC SOC COMPUTERS IN EDUCATION
ISBN:
978-986-94012-8-9
机构署名:
本校为其他机构
摘要:
As a rapidly growing field of learning analysis technology, learning prediction has been developed by many researchers from different angles and educational environments. Different prediction models have their own characteristics and have produced different results. However, each model has their limitations in adaptability and generalization. In this concept paper, we proposed a radial basis function neural network prediction model based on association rules. The predictors of the model are not pre-determined. They are selected by min...

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