How Digital Learning Platforms Empower Students with Personalized Learning
Personalized learning was defined by a group of organizations funded by the Bill and Melinda Gates Foundation, back in 2014, as one that “… offers a tech-friendly vision of an individualized, data-heavy, mastery-based education system.” Constant assessment, feedback and learner data are the cornerstones of this fresh approach to learning, facilitated by technology. Of the three, data is the most vital ingredient in digital learning platforms, on which all learning interventions are based.
And, the next step in this tech-driven learning approach is integrating machine learning into digital learning products. An AI component can encourage learners to take a specific action by generating data from the consumer to curate personalized content for them.
Personalized Learning in K-12 Education
Personalized learning is changing the definition of education in a digital classroom. Already, 85% of learner queries can be efficiently answered through bots. Digital learning products offers the opportunity to provide learners with differentiated content. In addition, it allows for the inclusion of external resources for further study, while providing the flexibility to move content around within the course, based on each student’s specific learning needs.
For instance, a digital learning platform that uses videos, interactive activities, games and simulations to generate self-directed content can greatly enhance the learner experience. Besides individualized curated content, learners have the benefit of content that works independently of the digital learning platform that it is presented on.
