Abstract
Big Data has revolutionized decision making in many fields, including education. The incorporation of information and communication technologies into education enables us to gather information about the teaching and learning process. As Big Data can help us improve it, it is paramount to integrate it into initial and continuous learning stages. This study therefore aims at finding out the perception of the training advisors of teacher training centers (N = 117) in Andalusia on the application of Big Data in education. The tool is an adaptation of the VABIDAE (Assessment of Big Data Applied to Education) scale, and the study of the descriptive statistics was carried out by using the analysis of variance (ANOVA) and Mann–Whitney U tests in order to check the existence of significant differences and correlations between the items that make up the scale. The results reflect the positive perception of training advisors on the use of Big Data in education. Significant differences were found in the competence level variable, whereby this tool was better rated by those advisors who feel that they have an advanced competence level. In conclusion, Big Data is valued for its ability to personalize educational processes and the consequent improvement in academic results, which shows the need to increase the level of knowledge about this tool.
Highlights
The technological revolution and the digitalization of the vast majority of processes have led to an exponential increase in data and information
This study aims at finding out the perception of training advisors of the teacher training centers in Andalusia on the application of Big Data in education
When applying the analysis of variance (ANOVA), we found significant differences in the item “O8: Produce educational resources adapted to the students” (Table 4), where both new and older teacher training advisors scored significantly higher than intermediate advisers
Summary
The technological revolution and the digitalization of the vast majority of processes have led to an exponential increase in data and information. In a context of different phenomena and factors that determine its evolution and progress, the analysis and interpretation of the massive data generated can facilitate decision-making and the implementation of proposals that could improve reality It is with this purpose that Big Data or massive data (Rivas et al 2019) was born. The value of Big Data lies in the possibility to analyze a larger amount of information that had not previously been considered This leads to the discovery of new knowledge that should be taken into account in decision-making. This tool allows for the reduction of subjectivity in decisions, providing evidence and data that can refute, ratify, or reject them from a more objective perspective. Big Data can be applied to many fields, such as medicine (Batton 2020; Galetsi et al 2020), politics
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
