A Data-Driven Application for Matching Student Traits with Learning Opportunities using Artificial Intelligence

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI:10.5121/csit.2023.130714
Chongda You, Andrew Park
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引用次数: 0

Abstract

It is often limited to students the opportunities they can get to apply their knowledge and learn new things, as different opportunities have vastly different ways of advertising. Just like the students, many organizations are looking for passionate students to apply their knowledge and energy to benefit society [2]. To solve this problem and ease the difficulties in finding the right opportunities, Maclever aims to be a place where all organizations can post their opportunities for students, and students can use the artificial intelligence-based feature in this application to find opportunities that best fit their skills. Maclever aims to be a simple and effective connection between organizations and students [3]. Leveraging tools such as sentiment analysis and utilizing models based on user behaviors and preferences to better match valuable connections allows us to create a system that gives us a much stronger ability to address the goals Maclevers sets out to solve.
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使用人工智能将学生特征与学习机会相匹配的数据驱动应用
学生应用知识和学习新事物的机会往往是有限的,因为不同的机会有截然不同的宣传方式。就像学生一样,许多组织也在寻找充满激情的学生,用他们的知识和精力来造福社会。为了解决这个问题,减轻寻找合适机会的困难,Maclever的目标是成为一个所有组织都可以为学生发布机会的地方,学生可以使用这个应用程序中基于人工智能的功能来寻找最适合他们技能的机会。Maclever的目标是成为组织和学生之间简单有效的联系。利用情感分析等工具,利用基于用户行为和偏好的模型来更好地匹配有价值的联系,使我们能够创建一个系统,使我们更有能力解决maclever所要解决的目标。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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