A Study on Factors Influencing Deep Interaction in Informal Online Learning Communities in the Context of Educational Informatization

This study focuses on the deep interaction behaviors of college students in informal online learning communities in the context of computer technology and education informatization, and uses regression models to conduct an in-depth analysis. Based on the questionnaire survey and data processing, the core elements affecting deep interaction behavior in the knowledge, technology and social dimensions were systematically explored. The results show that in the knowledge dimension, topic novelty, divergent thinking and the effectiveness of knowledge management strategies have a significant positive influence on deep interaction; in the technology dimension, tool suitability, learning adaptability and technology platform stability constitute key factors; in the social dimension, the platform provided by computer technology and education informatization emphasizes the importance of equal communication and incentive mechanism among members. Multivariate data analysis further reveals that knowledge acquisition efficiency is positively correlated with technology application ability, while the frequency of social interaction shows a non-linear relationship with the degree of knowledge sharing. The study also found that there was a significant mediating effect between platform features and user engagement, a finding that provides a theoretical basis for optimizing the design of online learning communities.