Analysis of Educational Data in the Current State of University Learning for the Transition to a Hybrid Education Model
| Autor: | Sergio Luján-Mora, William Villegas-Ch, Xavier Palacios-Pacheco, Milton Roman-Cañizares |
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| Přispěvatelé: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Advanced deveLopment and empIrical research on Software (ALISoft) |
| Rok vydání: | 2021 |
| Předmět: |
Decree
Big data Control (management) 02 engineering and technology hybrid education model lcsh:Technology lcsh:Chemistry Hybrid education model big data Order (exchange) 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:QH301-705.5 Instrumentation Fluid Flow and Transfer Processes Modality (human–computer interaction) Modalities lcsh:T business.industry analysis of data Process Chemistry and Technology 05 social sciences General Engineering 050301 education Public relations lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 Work (electrical) lcsh:TA1-2040 Lenguajes y Sistemas Informáticos Isolation (psychology) 020201 artificial intelligence & image processing Analysis of data lcsh:Engineering (General). Civil engineering (General) business 0503 education lcsh:Physics |
| Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) Applied Sciences, Vol 11, Iss 2068, p 2068 (2021) Applied Sciences Volume 11 Issue 5 |
| Popis: | Currently, the 2019 Coronavirus Disease pandemic has caused serious damage to health throughout the world. Its contagious capacity has forced the governments of the world to decree isolation and quarantine to try to control the pandemic. The consequences that it leaves in all sectors of society have been disastrous. However, technological advances have allowed people to continue their different activities to some extent while maintaining isolation. Universities have great penetration in the use of technology, but they have also been severely affected. To give continuity to education, universities have been forced to move to an educational model based on synchronous encounters, but they have maintained the methodology of a face-to-face educational model, what has caused several problems in the learning of students. This work proposes the transition to a hybrid educational model, provided that this transition is supported by data analysis to identify the new needs of students. The knowledge obtained is contrasted with the performance presented by the students in the face-to-face modality and the necessary parameters for the transition to this modality are clearly established. In addition, the guidelines and methodology of online education are considered in order to take advantage of the best of both modalities and guarantee learning. |
| Databáze: | OpenAIRE |
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