Our hypothesis when designing this education experiment was that iMD-VR would enable better learning outcomes and a better experience of computational molecular modelling and simulation techniques. Our experience over the last several years has shown that a number of students found the standard CHARMM/VMD class frustrating due to a lack of familiarity with its text-based input syntax. We integrated iMD-VR into the aforementioned third-year undergraduate computational chemistry class, which is conducted over two days. The intended learning outcomes for this class are that the students should understand: (1) the importance of proteintransition state stabilization for biomolecular catalysis, (2) how to calculate the stabilisation energy provided by the enzyme; and (3) how enzyme conformational changes affect reactivity. The class also aims to teach the students the difference between quantum mechanical (QM) and molecular mechanical (MM) calculations and how these methods are combined in a powerful hybrid method called QM/MM (recognised in the 2013 Nobel Prize). The wider skills which we intend the students to learn during this class include an understanding of: (1) the command prompt (bash), (2) the CHARMM molecular dynamics program and its input syntax, and (3) the use of the visualisation program VMD. Through introducing iMD-VR, we set out to understand the utility of a new simulation, interaction, and visualization technology for studying reactive conformations of chorismate and chorismate mutase, in comparison to the more traditional CHARMM/VMD approach we have utilized over the years.