Brief Review of Educational Applications Using Data Mining and Machine Learning

Brief Review of Educational Applications Using Data Mining and Machine Learning

The large amounts of data used nowadays have motivated research and development in different disciplines in order to extract useful information with a view to analyzing it to solve difficult problems. Data mining and machine learning are two computing disciplines that enable analysis of huge data se...

詳細記述

保存先:
書誌詳細
主要な著者: Urbina Nájera, Argelia Berenice, de la Calleja Mora, Jorge
フォーマット: info:eu-repo/semantics/article
言語:eng
出版事項: REDIE es una publicación del Instituto de Investigación y Desarrollo Educativo (IIDE). 2017
主題:
Education
Data mining
Machine learning
オンライン･アクセス:https://redie.uabc.mx/index.php/redie/article/view/1305
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
その他の書誌記述
要約:The large amounts of data used nowadays have motivated research and development in different disciplines in order to extract useful information with a view to analyzing it to solve difficult problems. Data mining and machine learning are two computing disciplines that enable analysis of huge data sets in an automated manner. In this paper, we give an overview of several applications using these disciplines in education, particularly those that use some of the most successful methods in the machine learning community, such as artificial neural networks, decision trees, Bayesian learning and instance-based methods. Although these two areas of artificial intelligence have been applied in many real-world problems in different fields, such as astronomy, medicine, and robotics, their application in education is relatively new. The search was performed mainly on databases such as EBSCO, Elsevier, Google Scholar, IEEEXplore and ACM. We hope to provide a useful resource for the education community by presenting this review of approaches.

類似資料