Success rate in educational data analytics using a regression model.
Keywords:
Data Analytics, Regression Model, Success Rate.Abstract
Educational data is a specific type of content that refers to one of the key statistics for empowering transformation in the academic institution in twenty-first century. In the framework of e-learning education, students are parting with an insightful data footprint throughout the sequence of their studies. In this regard, the data on learners, their learning patterns and the educational contexts they experience have aggressively increased. Through the utilization of regression analysis on this data, we can calculate a predictive view of the students’ future and anticipate opportunities for their successes or threats to their progress. For the teaching practices, analytical results can help improve the teaching and learning outcomes. Analytical results can help improve teaching and learning outcomes by amending insights into needful modifications to the course curriculum. Educators can analyze, understand, and act in accordance with all categories of informative data to enhance teaching practices and students learning.
Downloads
Published
How to Cite
Issue
Section
License
So that authors and publisher may be protected from the consequences of unauthorized use of the contents published in IJME, we require, as a condition of publication, that authors assign us all rights, including subsidiary rights, to their work. This enables us to promote and distribute the contribution in professionally appropriate venues. Authors have nonexclusive license to use their work without charge and without further permission after it has been published by IJME, as long as the IJME publication is referenced.
