1. Support customized education for learners in various fields 

With the digitization of educational contents and the development of data processing technology, customized education using user context-based data is in place. The required educational content may vary depending on the learner's skill level or basic knowledge. Research has been conducted on ways to support customized education for music education and English education, and customized education research for Korean language education is in progress along with in-depth research on previous studies.

2. Open source project-based data analysis and prediction 

When the source project is executed, various types of project data are accumulated. These data are analyzed by applying appropriate techniques such as data mining, and useful information required for future project execution is to be extracted and predicted. For example, when an issue occurs, a related file is recommended, a developer's expertise is identified, an appropriate task is assigned, and a mentor is recommended. In order to increase applicability in an open source development environment where entry and exit are free, research (cross-project software repository mining) is being conducted on multiple projects rather than one project.