All these representations are useful in certain contexts, but they share a common drawback insofar as they lack time resolution. As a result, then often lack a connection to the continuous motion which characterizes molecules, obscuring the critical role of dynamics and entropy in understanding chemical thermodynamics. University-level chemistry tends to be taught using static, time-independent representations such as skeletal structures. When molecular dynamics is directly tackled, it is often described in the form of mathematical representations. For example, the partition function, which forms one of the key concepts in statistical mechanics and transition state theory, is an integral over all the different ways that a molecule can translate, rotate, and vibrate. Similarly, entropy is fundamentally connected to a molecule's flexibility. However, understanding the microscopic basis for dynamics and entropy are difficult concepts for students to grasp, which may be a consequence of the fact that the bulk of chemistry teaching focuses on static molecular representations. An approach which incorporates dynamical representations has the potential to make these difficult concepts easier to convey in an intuitive way.