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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universidad Autónoma de Baja California
2017-10-01
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| Series: | Revista Electrónica de Investigación Educativa |
| Subjects: | |
| Online Access: | https://doi.org/10.24320/redie.2017.19.4.1305 |
| _version_ | 1818385978193084416 |
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| author | Argelia Berenice Urbina Nájera Jorge de la Calleja Mora |
| author_facet | Argelia Berenice Urbina Nájera Jorge de la Calleja Mora |
| author_sort | Argelia Berenice Urbina Nájera |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T03:46:44Z |
| format | Article |
| id | doaj.art-f0726f4bbb7140d68aa407bb0cac7e8d |
| institution | Directory Open Access Journal |
| issn | 1607-4041 |
| language | English |
| last_indexed | 2024-12-14T03:46:44Z |
| publishDate | 2017-10-01 |
| publisher | Universidad Autónoma de Baja California |
| record_format | Article |
| series | Revista Electrónica de Investigación Educativa |
| spelling | doaj.art-f0726f4bbb7140d68aa407bb0cac7e8d2022-12-21T23:18:20ZengUniversidad Autónoma de Baja CaliforniaRevista Electrónica de Investigación Educativa1607-40412017-10-01194849610.24320/redie.2017.19.4.1305Brief review of educational applications using data mining and machine learningArgelia Berenice Urbina Nájera 0Jorge de la Calleja Mora1Universidad Popular Autónoma del Estado de PueblaUniversidad Politécnica de PueblaThe 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.https://doi.org/10.24320/redie.2017.19.4.1305Educationdata miningmachine learning |
| spellingShingle | Argelia Berenice Urbina Nájera Jorge de la Calleja Mora Brief review of educational applications using data mining and machine learning Revista Electrónica de Investigación Educativa Education data mining machine learning |
| title | Brief review of educational applications using data mining and machine learning |
| title_full | Brief review of educational applications using data mining and machine learning |
| title_fullStr | Brief review of educational applications using data mining and machine learning |
| title_full_unstemmed | Brief review of educational applications using data mining and machine learning |
| title_short | Brief review of educational applications using data mining and machine learning |
| title_sort | brief review of educational applications using data mining and machine learning |
| topic | Education data mining machine learning |
| url | https://doi.org/10.24320/redie.2017.19.4.1305 |
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