Personalized learning refers to anything that a company, trainer, or software program does to differentiate training for individual learners. This can apply to the curriculum or content chosen for a specific learner, or to the method such as eLearning, podcast, or video. Learning can even be personalized as it relates to the scheduling or pace at which the learner gets their training.
Adaptive learning is different because it responds to the learner’s interactions in real-time. You could say that a skilled facilitator is using adaptive learning when he or she adapts a program based on the responses and needs of the group. With technology-based adaptive learning, whether it is an adaptive eLearning program or an adaptive assessment, it involves responding to each choice the learner makes and based on that information, continually changing their path. Depending on the technology being used, it could change the content of the program, the sequencing of the content, or the assessment items.
Adaptive learning technology goes beyond looking at a learner’s answer and deciding if it is appropriate or correct. It can also give the learner hints and feedback, it can direct them to other resources on the topic, or can recommend similar topics that might be of interest all based on the learner’s answer. This happens continually throughout an adaptive learning program, which means the progression is rarely linear.
Adaptive assessments change and respond based on whether questions are answered correctly or incorrectly. This change is often a result of the difficulty level of the question. These assessments can have a pool of questions about the content at different difficulty levels. The learner answers the questions until he or she has answered enough of the difficult questions correctly to achieve the mastery goal or until they are directed to an appropriate learning event.