文章基本信息

标题：ACCEPTANCE MODEL PREDICTIONS FOR E-ORIENTATION SYSTEMS CASE OF STUDY : PLATFORM �orientation-chabab.com�
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作者：RACHIDA IHYA ; ABDELWAHED NAMIR ; SANAA ELFILALI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：15
页码：4227-4238
出版社：Journal of Theoretical and Applied
摘要：The orientation is the construction or development process of an educational or career plan. This process is adopting the information and the communication technologies through various platforms to help students making their own career decision. The purpose of this study is to generate an acceptance model prediction's of the e-orientation Moroccan platform �orientation-chabab.com� that can be used during the conceptual design of the future e-orientation platforms. The Technology Acceptance Model (TAM) is used as a theatrical model for early user acceptance of the e-orientation systems by evaluating an extended Technology Acceptance Model (TAM). Our experiment was conducted with the WEKA machine learning software by using five algorithms namely: Na�veBayes, J48, SMO, SimpleLogistic and OneR.According to the comparison of the accuracy rates of our simulation, the Sequential Minimal Optimization classifier gives us the best performance outcomes.
关键词：E;orientation; Technology Acceptance Model; Extended TAM; Machine Learning; Algorithm