What is Adaptive Learning? How Can You Use It To Your Advantage?

It was very difficult for people to even imagine that learning could be according to their needs and wants. However, a special adaptive learning platform will help you bring this vision to life. Whether you want to convert learning from text to practice, this is your best method to bet on.

After the digital tools involved in these modules understand the learner in terms of numbers and data, the content is adjusted accordingly to suit every learner. This quick change of pace in tandem with the learner is the x-factor people are looking for.

In this piece, we want to take you through this new, innovative, and traction-generating learning method for students and professionals alike. So, let’s add your voice to our research.

Definition of Adaptive Learning

Adaptive learning isn’t a difficult concept for anyone who is involved in the process. It straightforwardly is a teaching method that uses a customizable and individualized approach. Why, you may think? It is quite obvious!

Compared to the pass rate of traditional learning methods, which is 69%, adaptive learning provides a 21% improvement. This means the pass rate has improved to 90% in people who have chosen the adaptive learning style to upskill themselves using a platform.

The method is usually a success as it makes theoretical concepts much more moldable according to the capabilities of an individual. So, as more people get accustomed to this type of learning, more people will understand its importance for the future of L&D.

How Does The Best Adaptive Learning Platform Work?

Any platform or tool you employ for infusing the concept of adaptive learning uses AI to expand its understanding of the learning material. It also uses the technology to foreknow the strengths and weaknesses of the trainee, in order to curate more comfortable courses for them in the future.

These platforms have the ability to push many individuals to their full potential while keeping in mind their long-term goals and growth. The AI algorithm is also great at assessing areas of improvement in people so they can work on relevant courses that help them progress in their job positions and increase knowledge bandwidth simultaneously.

The real-time statistical and other forms of data are also ultimately helpful for the instructor involved. This makes sure every guide knows the progress, current abilities, and future developments of the person of interest, the learner.

Why Is It Important?

There are many reasons why this approach has become extremely important for many people belonging to different sectors. As it changes and holds more weight on the learner’s shoulders, it becomes a highly effective learning and training technique. Other reasons are:

• Personalization: The nature of this learning method uses every bit of information to make the learning extremely to the point for the learner. This ensures that the material is relevant, compliant, and properly paced in accordance with individual proficiency.
• Engagement: Most resources do not cater to individualistic needs and wants. So, adaptive learning makes way for every type of learner, amateur or professional to get the full benefit through high engagement tactics.
• Time-Efficient: These systems in themselves have learning algorithms that know all the ins and outs of your abilities. This also helps them create courses that make you focus on key and weaker areas, reducing your overall time spent on other irrelevant subjects.
• Continuity: The advantage of learning seemingly forever helps people get an edge in the overall competitive atmosphere while improving their outcomes. Especially people who are professionals can benefit the most from using this technique.
• Data: AI and other similar algorithmic systems are great at tracking any form of data. This is considered the most valuable resource as you can amend the learning, training, and development of learners to match your vision and missions.

Types of Adaptive Learning

Every learning method has different types within it. This is because you can't include every perspective or approach to every situation. So, the best route to take is to know about the types to understand which set of them will match your requirements the best:

Content-Based Adaptation

Content is one of the most important aspects of any L&D technique, and it is no different for adaptive learning. The AI-driven tool evaluates the level of difficulty that can be handled by a learner and adjusts the level accordingly to provide relevant and compatible material.

Assessment-Based Adaptation

This involves traditional assessment methods with modern digital tools to deliver a familiar form. Learners are then guided through their personal deficiencies in regard to topics that might not be that clear to them. It also takes into account the skill level of every person.

Learner Pathway Adaptation

Not every learner falls into the same pattern, and this adaptation explores that very notion. To train the AI on the proper analysis of a trainee, the tool presents them with multiple learning paths. This clearly defines their ability to tackle concerns and their pace of progress.

Pace Adaptation

Pace is the very definition of speed for completing said course. Every person has a different level of understanding and pre-knowledge of subjects, which also affects pace. The AI then adjusts the speed of every course to match the agreeable pace of the learner closely.

Behavior-Based Adaptation

A lesson is approached differently by every person, even if any two may share the same background knowledge base. So, to make sure that this is prioritized, certain things, like time taken on tasks, interactions, and pace, are taken into consideration to later provide the necessary support.

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Recommendation-Based Adaptation

If the learner is capable of grasping every concept with an apt speed, people integrate recommendation based resources for the learner to continue. Once they are finished with a course, they can get videos and articles as recommendations to achieve further progress.

Social Adaptive Learning

Some learners thrive more with discussing subject matters in a social setting. So, AI algorithms include social interactions with peers and mentors. This makes sure that the collaborative and progressive quality of the method stays intact, while providing all the other benefits.

How Can You Take Advantage of Adaptive Learning Tools?

These new tools in learning have helped many understand their potential not only in terms of learning but also in other areas, like emotional intelligence. Here are some more ways you can use adaptive learning tools to your benefit:

• Identify Your Knowledge Divide: As these tools use immense data produced by you and the overall organization, they can easily identify small or big knowledge gaps. This is because the subjects where your interest might be low or the time taken for completion might be more, gives a clear picture easier.
• Keep An Eye On Progress: Any lesson or module you take on will allow you to build up knowledge with an additional marker on progress. In real time, you can see what percentage of completion you have been able to achieve till now. This can help you discuss other ways with your instructor to improve.
• Efficiently Make Auto Assessments: Traditional assessments are extremely tedious to arrange and can also be ineffective in some cases. The automatic assessments you can set with the use of AI can overall help you build up relevant and specific tests to test and retest your knowledge proficiency in due time.
• For The People & You: The beauty of this adaptive learning technique is that it can accommodate everyone and you while meeting all the requirements. Whether you prefer taking things slow and the other person may prefer things faster, it all can be accommodated through this method.
• Data Forward Approach: Everything is automatically recorded so that every little aspect of data can be set in stone. Now that the AI has everything to monitor, you can ask for this data at any time to make better future decisions. Also, this data can help you set some guidelines in place so you can make sure all the bases get covered.
• More Discussions Better Outcomes: People thrive if they engage, discuss, and learn together. We, as social creatures, can share immense ideas to specifically target better outcomes in many. So, if you aren’t sure how to make these discussions happen, you can pre-integrate communication features to initiate things smoothly.

What Does The Research Show in Adaptive Learning?

There has been some research to see how adaptive learning has improved learning across many individuals. There are 4 main aspects where the effect of adaptive learning can be clearly measured. Here are those facets:

Success Rates

Adaptive learning has significantly improved the pass rate of many students and has reduced the dropout rates. For instance, a study involving adaptive learning tools in math courses saw an 18% increase in pass rates and a 47% decrease in withdrawals, potentially saving institutions significant resources.

Active Participation

It is quite important for anyone to have great engagement with AI-powered adaptive learning tools. Tools like Smart Sparrow use interactive tutorials to help students grasp challenging concepts, thereby fostering greater involvement in the learning process​. This has been shown to increase engagement flow by 88% in people.

Academic Progress

Grades are, at the end of the day, treated as a marker for success. Many students at first can struggle to grasp difficult concepts at first. However, with adaptive tools, it has been shown that 5 to 10 minutes of concentrated subject lessons can improve the grades of a particular person by up to 26.6% in the difficult objects they might feel uncertain to tackle.

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Learning Satisfaction

There is an obvious difference between most learning techniques and adaptive learning tools. As they have a technological focus, it makes learning modern, convenient, and fun for many Generation Z and Generation Alpha. At least 97% of the instructors can vouch for the increased interest of many using adaptive learning tools.

Conclusion

There is a mantra that has really surpassed its expectations in the upcoming years. Adapt, change, accept, and repeat. This is crucial, especially for people who prefer a particularly comfortable module for learning concepts and gaining trainable skills.

So, if you are wondering why you should get adaptive learning methods, this is a sign to go for it. Also, the fact that these can be cost-effective for a larger workforce or student group is even better.

Platforms like Acadecraft make sure that all your e-learning requirements are completed through one cost-effective medium ㅡ adaptive learning tools. Only trust experienced professionals like Acadecraft to fulfill such important learning demands for your L&D needs.