*Result*: From passive to proactive learning: adaptive transformation of forgettable causal relationships in entire interactive learning process.

*The online interactive learning environment provides learners with a more autonomous and personalized learning pattern, while the forgettable causal relationships might associate various factors of dynamic and sustainable interactive learning processes. For learning effectiveness, the forgettable causal relationships are not only potential risks, but also contain implicit data values. This study obtains the learning behavior instances generated by one interactive learning environment, flexibly constructs a novel diagnostic analysis process for forgettable causal relationships, and evaluates the learning trend through the unified calculation of attributes, features, and learning behavior routing. Sufficient experiments have proved this analysis process is feasible and reliable, key values from massive data are mined to guide and improve learning behaviors, which unifies the learning needs, learning tasks, learning contents, and learning interests, as well as different learning preferences. Then the forgettable causal relationships might be adaptively transformed into potential self-awareness and positive attitudes, from “Passive Learning” to “Proactive Learning”, which has important practical significance for guiding the adaptive learning motivation, as well as optimizing the learning method and learning attention, and the flexible enhancement mechanism of forgettable causal relationships is explored to form the learning behavior routes and improving learning effectiveness. [ABSTRACT FROM AUTHOR]*