Data mining techniques for the study of online learning from an extended approach
In the latest years information technologies have impacted society changing the way human beings learn, and because of that it is necessary to study the intimate relationship between humans and their technological tools. On this path the extended mind thesis posits human cognition as a process that...
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| Format: | Article |
| Language: | English |
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Universitat Politècnica de València
2019-05-01
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| Series: | Multidisciplinary Journal for Education, Social and Technological Sciences |
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| Online Access: | https://polipapers.upv.es/index.php/MUSE/article/view/11482 |
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| _version_ | 1846146224377298944 |
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| author | José Manuel Sánchez-Sordo |
| author_facet | José Manuel Sánchez-Sordo |
| author_sort | José Manuel Sánchez-Sordo |
| collection | DOAJ |
| description | In the latest years information technologies have impacted society changing the way human beings learn, and because of that it is necessary to study the intimate relationship between humans and their technological tools. On this path the extended mind thesis posits human cognition as a process that occurs in conjunction between biological and non-biological components, furthermore Connectivism is stated as a learning theory for the digital age. Based on such approaches this work presents a summary of a research whose objective was to know how people extend their cognitive processes with the aim of learning through the internet. Methodologically, an artificial intelligence algorithm for supervised learning (J48) was used to analyze the data of 336 participants with the aim of obtaining classification rules (patterns) of internet use. Finally, the results show that people who report visiting specialized websites, read electronic books and take into account the spelling of the resources they are looking at on the internet are the ones with optimal strategies for learning online. |
| format | Article |
| id | doaj-art-5ddeed7a0d794f09830de81dddd5fc88 |
| institution | Kabale University |
| issn | 2341-2593 |
| language | English |
| publishDate | 2019-05-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | Multidisciplinary Journal for Education, Social and Technological Sciences |
| spelling | doaj-art-5ddeed7a0d794f09830de81dddd5fc882024-12-02T04:15:38ZengUniversitat Politècnica de ValènciaMultidisciplinary Journal for Education, Social and Technological Sciences2341-25932019-05-016112410.4995/muse.2019.114827463Data mining techniques for the study of online learning from an extended approachJosé Manuel Sánchez-Sordo0Universidad Nacional Autónoma de MéxicoIn the latest years information technologies have impacted society changing the way human beings learn, and because of that it is necessary to study the intimate relationship between humans and their technological tools. On this path the extended mind thesis posits human cognition as a process that occurs in conjunction between biological and non-biological components, furthermore Connectivism is stated as a learning theory for the digital age. Based on such approaches this work presents a summary of a research whose objective was to know how people extend their cognitive processes with the aim of learning through the internet. Methodologically, an artificial intelligence algorithm for supervised learning (J48) was used to analyze the data of 336 participants with the aim of obtaining classification rules (patterns) of internet use. Finally, the results show that people who report visiting specialized websites, read electronic books and take into account the spelling of the resources they are looking at on the internet are the ones with optimal strategies for learning online.https://polipapers.upv.es/index.php/MUSE/article/view/11482Cognitionconnectivismdata mininge-learningextended mindmachine learning |
| spellingShingle | José Manuel Sánchez-Sordo Data mining techniques for the study of online learning from an extended approach Multidisciplinary Journal for Education, Social and Technological Sciences Cognition connectivism data mining e-learning extended mind machine learning |
| title | Data mining techniques for the study of online learning from an extended approach |
| title_full | Data mining techniques for the study of online learning from an extended approach |
| title_fullStr | Data mining techniques for the study of online learning from an extended approach |
| title_full_unstemmed | Data mining techniques for the study of online learning from an extended approach |
| title_short | Data mining techniques for the study of online learning from an extended approach |
| title_sort | data mining techniques for the study of online learning from an extended approach |
| topic | Cognition connectivism data mining e-learning extended mind machine learning |
| url | https://polipapers.upv.es/index.php/MUSE/article/view/11482 |
| work_keys_str_mv | AT josemanuelsanchezsordo dataminingtechniquesforthestudyofonlinelearningfromanextendedapproach |