会议论文详细信息
1st Annual Applied Science and Engineering Conference
Comparative Study on the Different Testing Techniques in Tree Classification for Detecting the Learning Motivation
工业技术;自然科学
Juliane, C.^1 ; Arman, A.A.^1 ; Sastramihardja, H.S.^1 ; Supriana, I.^1
School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia^1
关键词: Comparative studies;    Cross validation;    Electronic learning (e-learning);    Learning motivation;    Learning process;    research methods;    Testing process;    Testing technique;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/180/1/012056/pdf
DOI  :  10.1088/1757-899X/180/1/012056
来源: IOP
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【 摘 要 】

Having motivation to learn is a successful requirement in a learning process, and needs to be maintained properly. This study aims to measure learning motivation, especially in the process of electronic learning (e-learning). Here, data mining approach was chosen as a research method. For the testing process, the accuracy comparative study on the different testing techniques was conducted, involving Cross Validation and Percentage Split. The best accuracy was generated by J48 algorithm with a percentage split technique reaching at 92.19 %. This study provided an overview on how to detect the presence of learning motivation in the context of e-learning. It is expected to be good contribution for education, and to warn the teachers for whom they have to provide motivation.

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