Model for the collection and analysis of data from teachers and students supported by Academic Analytics

Academic Analytics enables an analysis of data that is very important for making decisions in the educational institutional environment, aggregating valuable information in the academic research activity and providing easy to use business intelligence tools. This article shows a proposal for creating an information system based on Academic Analytics, designing a model that is supported by Academic Analytics for the collection and analysis of data from the information systems of educational institutions. The idea that was conceived proposes a system that is capable of displaying statistics on the historical data of students and teachers taken over academic periods, with the purpose of gathering the information that the director, the teacher, and finally the student need for making decisions. The model was validated with information taken from students and teachers during the last five years, and the export format of the data was pdf, csv, and xls files. The findings allow us to state that it is extremely important to analyze the data that is in the information systems of the educational institutions for making decisions. After the validation of the model, it was established that it is a must for students to know the reports of their academic performance in order to carry out a process of self-evaluation, as well as for teachers to be able to see the results of the data obtained in order to carry out processes of self-evaluation, and adaptation of content and dynamics in the classrooms.

• Autores: Simanca H., Fredys A.; HERNÁNDEZ ARTEAGA, ISABEL; Unriza Puin, María Elsa; blanco garrido, fabian; Paez, Jaime; Cortés Méndez, Jairo; Alvarez, Alicia
• Tipo de recurso: Article of journal
• Fecha de publicación: 2020
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/7922
• Acceso en línea: https://hdl.handle.net/11323/7922; https://doi.org/10.1016/j.procs.2020.10.039; https://repositorio.cuc.edu.co/
• Palabra clave: Academic Analytics; Data storage; Education; Big data; Analysis of data; Learning analytics; Análisis académico; Almacenamiento de datos; Educación; Análisis de datos grandes; Análisis de aprendizaje de datos
• Rights: openAccess
• License: CC0 1.0 Universal