Adaptive learning is making significant strides in the global market, with growing adoption across K-12 education, higher education, and corporate training. The advancements in technology and the demand for personalized and effective learning experiences are driving its growth, opening up opportunities for enhanced adaptive learning educational outcomes on a global scale. <a href="https://easysim.cloud/learning-experience-platform/">adaptive learning</a>

1. Adaptive Learning

2. Definition of Adaptive Learning
Adaptive learning — or adaptive teaching — is the delivery of
custom learning experiences that address the unique needs of an
individual through just-in-time feedback, pathways, and resources
(rather than providing a one-size-fits-all learning experience).
adaptive learning refers to an educational approach or system that
leverages technology to provide personalized and tailored
instruction based on an individual learner's needs, abilities, and
progress. It utilizes data and algorithms to continuously analyze and
adapt the learning experience to optimize learning outcomes.

3. Enter adaptive learning technology
Adaptive learning technology aims to emulate and support (not replace!)
the talents of great educators to provide the best possible learning
experience for every single student. It helps scale the benefits of adaptive
learning to tens, hundreds, or thousands of students at a time.
The mechanisms of “how” technology adapts to students has several
variations:

4. Designed Algorithmic
Adaptivity Adaptivity
A method of adaptivity in which an educator designs the
expert teaching sequence to guide their learners toward
content mastery. They drive how the lessons adapts
feedback and content sequences in the lesson.
Adaptations can occur based on a variety of factors
called adaptivity factors.
A method of adaptivity in which one or more algorithms
answer the following two questions:
1. What does the learner 'know'?
2. What should the learner experience next?
Based on those answers, the algorithm can select “the
right item at the right time” for students as they learn.
This expert-model approach to adaptivity tells the
technology how to react in unique situations — an "If
THIS, then THAT" approach. It can be used to provide
needed remediation, share advanced content with
excelling learners, encourage people racing through
screens to slow down, and more
A common algorithm is is Bayesian Knowledge Tracing
(BKT) which estimates the rate at which learning occurs.
Another known framework is Item Response Theory
(IRT), developed in the field of psychometrics to model
the interaction of a learner with discrete items.

5. Different adaptivity types and adaptivity factors
Adaptivity factors Adaptables
Learner information/profile, behaviours, and performance
benchmarks that can be used adapt a learning experience, e.g.
The ways the lesson can adapt based on the learner's
performance. For example:
Performance: Was the correct or incorrect answer was
provided? How has the learner done across a series of
tasks/lessons?
Real-time Feedback: Offer appropriate help when it is needed
most, e.g. hints based on a shown misconceptions (as if students
are being guided by a tutor looking over their shoulder).
Behaviours: How long did the learner take to complete the task? Differentiated Pathways: Offer varying sequences of content to
each student, e.g. provide extra help to a student for a particular
concept before continuing to the next topic, fast-track advanced
learners, or allow learners to decide what they’ll learn next.
Information: Learners can share how confident they feel in
material, content type preferences, or personal data to alter
what happens next.

6. Adaptive learning in the global market
• Increased Demand: The demand for adaptive learning solutions is on the rise as
educational institutions, corporations, and online learning platforms seek innovative
ways to deliver personalized and effective instruction. The global market for adaptive
learning is projected to grow significantly in the coming years.
• Technological Advancements: Advances in artificial intelligence (AI), machine learning,
and data analytics have paved the way for more sophisticated adaptive learning systems.
These technologies enable the collection and analysis of vast amounts of learner data,
facilitating personalized recommendations and adaptive content delivery.
• K-12 Education: Adaptive learning is increasingly being integrated into K-12 education
systems worldwide. Adaptive learning software and platforms are utilized to individualize
instruction, identify learning gaps, and support differentiated learning in classrooms.
Teachers can access real-time data and insights to inform their instruction and provide
targeted interventions.

7. • Higher Education: Adaptive learning is gaining momentum in higher education institutions, where it is used
to personalize learning experiences, support self-paced learning, and improve student retention rates.
Adaptive learning platforms offer interactive content, adaptive assessments, and personalized feedback to
enhance the learning process in college courses.
• Corporate Training: Adaptive learning is also being employed in corporate training programs to provide
customized learning pathways for employees. Adaptive learning systems can identify employees' skill gaps
and offer tailored training modules to address specific needs. This approach increases engagement,
knowledge retention, and skill development in professional settings.
• Global Accessibility: Adaptive learning technologies have the potential to bridge educational gaps and
provide quality education in underserved regions. Online adaptive learning platforms can reach learners in
remote areas, offering personalized learning experiences and expanding access to educational resources.
• Challenges and Opportunities: While adaptive learning holds immense promise, challenges such as
implementation costs, data privacy, and ensuring equitable access to technology need to be addressed.
However, the global market for adaptive learning presents opportunities for education technology companies
to innovate, collaborate with educational institutions, and provide scalable adaptive learning solutions.
Reference:
• Simplify Assessments with EasySIM Cloud: The Best Assessment Software
• Role of technology-induced training towards efficient competency building