E-learning has evolved over the years, establishing itself as a hallmark of modernity and advancement in the education sector. Projected to reach USD 399 billion by 2022 and potentially surpassing the trillion-dollar mark between 2028 and 2032, according to Global Market Insights, e-learning has become a formidable force. However, traditional e-learning models often have a rigid structure, inflexible teaching materials, and limited content adjustment based on individual student progress. While convenient in terms of time efficiency and accessibility to learning resources, it struggles to optimize the learning experience for each specific student.
Another shortcoming of legacy e-learning is the lack of direct interaction, which can diminish the appeal of learning and potentially lead to a lack of self-motivation and discipline in completing assignments. The younger generation, in particular, prefers a more personalized learning experience with immediate feedback and guidance. Being dynamic and adaptable, they find extended learning sessions less engaging and curious. They also favor short-form video formats, interactive activities, and the use of mobile phones for learning, work, and entertainment.
The trend of Adaptive Learning has emerged to address these limitations and cater to these needs, leveraging artificial intelligence to analyze data and tailor content to each individual learner. The advent of Adaptive Learning is considered a revolution in online education. Instead of a one-size-fits-all approach, Adaptive Learning provides customized content and methodologies based on a student’s needs, capabilities, and pace.
Through AI, Adaptive Learning gathers and analyzes data on a student’s learning behavior, including their progress, quiz results, time spent learning, and other forms of feedback. Based on this data, the system personalizes content such as the difficulty level of lessons, supplemental materials, and recommended activities.
A distinguishing feature of Adaptive Learning is its ability to provide continuous and immediate feedback. By monitoring and analyzing learning data in real time, the system can suggest content that aligns with the learner’s progress. This optimizes knowledge absorption and creates a more personalized and effective learning experience.
Although Adaptive Learning is a newer trend, specific statistics are not yet available. However, Global Market Insights anticipates robust growth in this market, especially amidst the AI boom. Some leading organizations have already integrated Adaptive Learning with microlearning in their employee training and development programs to deliver a more agile and efficient learning experience. Microlearning involves breaking down learning content into small, digestible chunks, often lasting only a few minutes or less. It is often designed to engage learners in an optimal and highly engaging manner.
Phan Ho Ha Phuong, Head of AI Solutions at FPT Smart Cloud, explains, “Instead of organizing training classes for hundreds of people, as we did in the past, the new training model follows an adaptive microlearning approach. This means that each learner will participate in a short course lasting only 3-5 minutes per day on their mobile phone.
