Adaptive Learning

Adaptive Learning provides content and services to meet individual or group learning needs with improved learning achievement and efficiency. Adaptive learning uses prior successes and measures learner progress to identify and provide future targeted learning strategies. Adaptive learning supports adaptive interaction, feedback and delivery of information and content. The key to successful adaptive learning is finding the multiple sources of personalization intelligence (e.g., learning orientation, academic background, etc.) that tells the system how to adapt appropriately. Accounting for individual learning needs and differences correctly has especially increased in importance as learners transition to online learning and seek more personalized solutions to match their learning needs. Personalized learning is a contrasting approach to adaptive learning.

Next-generation products depict the supportive learning role that technology can rightfully play in correcting learning problems that have continually perplexed training markets in the past. Adaptive learning is important because it enables learners to select their modular components to customize their learner-centric learning environments. Secondly, it enables them to offer flexible solutions that dynamically adapt content to fit individual real-time objectives.