What is Metacognition?
Awareness of one's knowledge and thought processes
The term adaptive learning refers to a technology capable of evaluating the student’s skills, knowledge, and confidence levels as it constantly assesses how the student responds to the material. That way, the learning material becomes much more targeted since subjects that do not require more attention are filtered out, leaving more time to focus on weaker areas.
The personalized course is a much more tailor-made learning experience compared to traditional e-learning, which, in the end, will enable students to achieve the desired goals faster and more efficiently.
The evolution of digital technologies has transformed learning management processes, with adaptive learning and blended teaching methods, reshaping the skills and safety training landscape.
RelyOn’s tailored training programs, combining both on-site and digital learning in a blended format, cater to workforce at all levels, ensuring they acquire essential skills and globally recognized certifications for safe operations. Blended learning offers a flexible and efficient approach, allowing participants to learn theoretical curriculum at their own pace before practical on-site training, reducing time and expenses associated with travel and accommodation.
Embrace the future of learning with RelyOn’s customized and dynamic training experiences.
AI adaptive learning identifies the optimal sequence of topics and modules for each learner based on their existing knowledge and goals. This minimizes redundancy and allows workers to progress at their own pace, increasing engagement and motivation.
Through the use of AI-powered adaptive learning software, the courses will automatically adapt the content, pace, and assessments to optimize knowledge retention and engagement. Adaptive learning technology enables learners to progress at their own pace, focusing on areas that require more attention while moving quickly through familiar concepts. By leveraging data analytics and machine learning algorithms, the system continually adjusts the curriculum, instructional materials, and assessments to meet the unique needs and learning styles of each participant.
This personalized approach not only enhances the learning experience but also improves knowledge retention and application. This data helps us tailor the content and delivery methods to optimize their learning experience. Adaptive learning reduces a significant portion of the classroom theory time, allowing trainers and employees to focus on “hands-on” training at facility/site locations. This provides for a more targeted use of instructors for practical exercises. Adaptive learning technology is grounded in scientific research and twenty-five years’ experience; serving over 30 million learners across hundreds of subject areas, gathering billions of data points.
Awareness of one's knowledge and thought processes
Mastery learning combined with personalized tutoring allows learners to reach their full potential
Memory fades with the passage of time. Information is lost over time when there is no attempt to retain it
RelyOn's adaptive learning technology uses algorithms to evaluate individual skills, knowledge, and confidence levels, adjusting content and pace accordingly to optimize learning outcomes.
Benefits of adaptive learning are spanning from higher retention rates, reduced frustration, to the ability to focus on areas requiring improvement, all achieved through individualized pacing and tailored repetition.
Besides stand-alone adaptive courses, the technology is incorporated into blended learning programs, combining digital delivery with instructor insights to provide mastery learning and detailed analytics for continuous improvement.