Data Mining in Educational Data – Useful Tool for Sustainable Learning Development
Year: 2021
Type: conference-paper
Abstract: Transforming data to knowledge can be realized through data mining methods, and that is a continuous challenge to discover helpful information in huge data sets. Data mining (DM) techniques can be used to extract knowledge and identify specific patterns that can be harnessed in optimal solutions to answer identified issues. By collecting huge data sets and analyzing them, data mining can produce major changes that enhance the quality of educational activities, management, and teachers’ continuous training. The educational potential of data mining can be argued through the changes it produces in teaching and learning. Analyzing the context that subjects perceive as encouraging learning, the predictability of learning, and the understanding of real learning behavior, data mining techniques can be used to inform and develop teaching methodologies than enhance the learning results.
Institution: Ştefan cel Mare University of Suceava
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W3206019963