This study analyzes how multiple functions work together in the e-learning system. Big data analysis from external systems has been studied for a long, and the basic structure for using external artificial intelligence (AI) services for e-learning modules has been developed. Therefore, we can integrate the functionality of the e-learning system with external systems, such as social media, resulting in improved functionality. To use AI services successfully, we should determine what combination of data is most effective for learning, not just the size of the data. By studying the interactions of multiple functions within the e-learning system, we investigate the effective combinations of data. Further, we analyze five functions of the e-learning system, including drill, audience response systems, recommendation engine, comment, and note-taking. 295 students were analyzed using two-way analysis of variance (ANOVA). Some interactions were statistically significant in this analysis, indicating that AI can be used as a tool for building effective e-learning functions.