使用机器学习的职业指导系统

Subiddhya Panthee, Sudikshya Rajkarnikar, Rabiya Begum
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引用次数: 0

摘要

职业指导系统对于学生通过学术和追求课程来获得他们的能力和确定他们的兴趣是很重要的。本文主要研究通过人格预测进行职业指导。这有助于他们根据自己的表现和其他评估来决定最适合自己的工作角色。该系统将通过从网络问卷中收集的数据来预测用户的大五人格和VAK学习类型。系统会根据他们的回答推荐不同的职业选择。机器学习算法将用于检查系统的性能并验证结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Career Guidance System Using Machine Learning
Career Guidance System is important for students going through academic and pursuing courses to access their capabilities and identify their interests. This paper mainly concentrates on career guidance through personality prediction. It helps them decide which job role suits the best based on their performance and other evaluations. The system will predict the Big Five personality, and VAK learning type of the users through data collected from web-based questionnaires. The system recommends different career choices based on their answers. Machine learning algorithms will be used to check the performance of the system and validate the result. 
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