The most commonly used framework for active learning is pool-based active learning, where the learner has access to the entire pool of unlabeled data at once, and can iteratively query for examples.
sequential active learning is a framework in which unlabeled examples are presented to the learner in a stream (Lewis and Gale, 1994).