Application of Learning Analytics to Improve Higher Education
In the digital era, the teacher assumes very diverse roles among which are to be an adviser, a generator of multimedia content, and more recently a data analyst. Big data analytics may play a major role in Higher Education for all the agents involved, the teachers and educators, the students themsel...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universidad Politécnica de Valencia
2021-10-01
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| Series: | Multidisciplinary Journal for Education, Social and Technological Sciences |
| Subjects: | |
| Online Access: | https://polipapers.upv.es/index.php/MUSE/article/view/16287 |
| _version_ | 1818718870754557952 |
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| author | Carlos Llopis-Albert Francisco Rubio |
| author_facet | Carlos Llopis-Albert Francisco Rubio |
| author_sort | Carlos Llopis-Albert |
| collection | DOAJ |
| description | In the digital era, the teacher assumes very diverse roles among which are to be an adviser, a generator of multimedia content, and more recently a data analyst. Big data analytics may play a major role in Higher Education for all the agents involved, the teachers and educators, the students themselves and the managers or heads of university centers. This paper applies learning analytics to the subject of Theory of Machines and Strength of Materials of the bachelor's degree in Chemical Engineering at Universitat Politècnica de València (Spain). The aim of analyzing the available information is to improve teachers’ actions and communication, to enhance resource efficiency, to assess classroom procedures, the achievement of transversal competences, the student typology and their results, or the attitudes and commitment they acquire with the subject taught. Results show the existence of niches with competitive advantages, improvements in the quality and performance of the teaching-learning experience. |
| first_indexed | 2024-12-17T19:57:55Z |
| format | Article |
| id | doaj.art-b106ff0407204db9972abd8f7612535f |
| institution | Directory Open Access Journal |
| issn | 2341-2593 |
| language | English |
| last_indexed | 2024-12-17T19:57:55Z |
| publishDate | 2021-10-01 |
| publisher | Universidad Politécnica de Valencia |
| record_format | Article |
| series | Multidisciplinary Journal for Education, Social and Technological Sciences |
| spelling | doaj.art-b106ff0407204db9972abd8f7612535f2022-12-21T21:34:33ZengUniversidad Politécnica de ValenciaMultidisciplinary Journal for Education, Social and Technological Sciences2341-25932021-10-018211810.4995/muse.2021.162878946Application of Learning Analytics to Improve Higher EducationCarlos Llopis-Albert0Francisco Rubio1Universitat Politècnica de ValènciaUniversitat Politècnica de ValènciaIn the digital era, the teacher assumes very diverse roles among which are to be an adviser, a generator of multimedia content, and more recently a data analyst. Big data analytics may play a major role in Higher Education for all the agents involved, the teachers and educators, the students themselves and the managers or heads of university centers. This paper applies learning analytics to the subject of Theory of Machines and Strength of Materials of the bachelor's degree in Chemical Engineering at Universitat Politècnica de València (Spain). The aim of analyzing the available information is to improve teachers’ actions and communication, to enhance resource efficiency, to assess classroom procedures, the achievement of transversal competences, the student typology and their results, or the attitudes and commitment they acquire with the subject taught. Results show the existence of niches with competitive advantages, improvements in the quality and performance of the teaching-learning experience.https://polipapers.upv.es/index.php/MUSE/article/view/16287learning analyticsbig datatransversal competencesinformation and communications technologye-learningblended learning |
| spellingShingle | Carlos Llopis-Albert Francisco Rubio Application of Learning Analytics to Improve Higher Education Multidisciplinary Journal for Education, Social and Technological Sciences learning analytics big data transversal competences information and communications technology e-learning blended learning |
| title | Application of Learning Analytics to Improve Higher Education |
| title_full | Application of Learning Analytics to Improve Higher Education |
| title_fullStr | Application of Learning Analytics to Improve Higher Education |
| title_full_unstemmed | Application of Learning Analytics to Improve Higher Education |
| title_short | Application of Learning Analytics to Improve Higher Education |
| title_sort | application of learning analytics to improve higher education |
| topic | learning analytics big data transversal competences information and communications technology e-learning blended learning |
| url | https://polipapers.upv.es/index.php/MUSE/article/view/16287 |
| work_keys_str_mv | AT carlosllopisalbert applicationoflearninganalyticstoimprovehighereducation AT franciscorubio applicationoflearninganalyticstoimprovehighereducation |