Adaptation in e-learning can be defined as “a method to create a learning experience for the student, but also for the tutor, based on the configuration of a set of elements in a specific period aiming to increase the performance of pre-defined criteria” (Burgos, Tattersall & Koper, 2007, p. 162). The source of adaptation can vary in nature from being invoked by the machine (adaptivity) to being enacted by users (adaptability) (Burgos et al., 2007). There are several benefits of adaptation in e-learning that primarily centre around the ability to personalize learning to meet the requirements of individuals, especially in light of increasing student diversity, at times massive student numbers and the large array of modalities contemporary learning technologies afford (Paramythis & Loidl-Reisinger, 2004).