Every learner is on a trajectory, an individual path that involves choices and decisions about where to go next. The innovative thought of e-learning is reaching astronomical proportions and is becoming processed into these trajectories, usually under some sort of constraint. Control and Constraint in E-Learning: Choosing When to Choose answers the questions on how those constraints operate, how learning can be achieved, and particularly the role of education in that process.Control and Constraint in E-Learning: Choosing When to Choose unifies and synthesizes an assortment of theories about learner control, autonomy, self-direction, adult learning for educationalists, e-learning practitioners and e-learning developers. This ground-breaking research provides a theoretical approach to building computer systems to support adults learning via the Internet, existing e-learning environments and how they should be used, the process of education in general, and also offers something for anyone involved in learning and teaching.