AI based Adaptive Learning

How AI Based Adaptive Learning Can Transform Education and Training

Adaptive learning is a teaching method that uses technology and data analysis to personalize the learning experience for each student. It involves adjusting the content, pace, and difficulty of the instruction according to the learner’s needs, preferences, and performance.

AI based adaptive learning takes this concept to the next level by incorporating artificial intelligence algorithms to analyze the data and provide more personalized feedback and recommendations. AI based adaptive learning systems can also generate new content and questions based on the learner’s goals and progress.

AI based adaptive learning has many benefits for both learners and educators. Here are some of them:

• It improves learner engagement and motivation by providing relevant and challenging content that matches their interests and abilities.
• It enhances learner outcomes and retention by providing immediate and constructive feedback that helps them correct their mistakes and reinforce their strengths.
• It reduces learner frustration and boredom by avoiding content that is too easy or too hard for them.
• It saves time and resources for educators by automating the assessment and grading process and providing insights into the learner’s performance and behavior.
• It supports personalized and differentiated instruction by allowing educators to customize the learning path and content for each learner or group of learners.

AI based adaptive learning can be applied to various domains and contexts, such as K-12 education, higher education, corporate training, and lifelong learning. Some examples of AI based adaptive learning platforms are:

Duolingo:

Duolingo combines machine learning and adaptive learning in artificial intelligence to provide a better experience for all users. This app is focused on language learning through gamification and adaptivity. The software tracks various information like: The number of times you've seen a word; Your mistakes in specific topics; The topics and phrases you know best. It uses AI to predict the probability a learner would recall a word in the given context. The technology also calculates how much the student should practice to memorize the material as much as possible. So that you'd understand the speed at which Duolingo “learns” from your interactions, here's an example. When you open the app for the first time, you'll be asked to complete a placement test. All questions are based on your previous answers. It takes less than five minutes for the system to determine your language level. If you've had four years of English at the university, you don't have to start from scratch. Show your language level and enjoy the tasks!

Read more on the?https://belitsoft.com/custom-elearning-development/ai-in-education/adaptive-learning-ai

Prodigy

Prodigy Math Another adaptive and gamified learning app is Prodigy Math. Again, students see the recommended content that is completely based on an adaptive algorithm. It is capable of detecting the learner's strengths and weaknesses to provide a better learning environment. As a result, students get the following: Content that is challenging enough to develop new skills and abilities; To-the-point tasks that help them apply previous knowledge. The best part is that learners don't even understand that their answers are being estimated because there is an absence of traditional assessment interfaсes. All assessment work is being done behind the scenes. Prodigy Math applies its adaptive algorithm to provide personalized tasks. It always works in the background, making calculations and predictions. Imagine that there is a student who attempts to master a new skill. They pass 10 questions, and each is correct. The algorithm assumes that material is acquired, so it provides new topics that are a bit more challenging. It is even possible to get content designed for a higher grade, thus continuing the learner's development. Now let us look at another student. They want to master the same skill, but there are several mistakes in their answers. This results in the algorithm assuming the learner is struggling with the topic. Thus, before the skill is mastered, the student must complete a different pathway with more questions and explanations. That's how AI helps people get an individual experience.

Read more on the?https://belitsoft.com/custom-elearning-development/ai-in-education/adaptive-learning-ai

AI based adaptive learning is a promising technology that can transform education and training by providing personalized and effective learning experiences for each learner. However, it also poses some challenges and limitations, such as:

• The quality of the data and algorithms: The accuracy and reliability of the AI based adaptive learning systems depend on the quality of the data they collect and analyze, as well as the algorithms they use to generate content and feedback. Poor data quality or biased algorithms can lead to inaccurate or inappropriate recommendations or outcomes.
• The ethical and privacy issues: The collection and use of the learner’s data raise ethical and privacy concerns, such as who owns the data, how it is stored and protected, how it is shared or used by third parties, how it affects the learner’s autonomy or agency, etc.
• The human factor: The AI based adaptive learning systems cannot replace the human factor in education and training, such as the role of the teacher, the peer interaction, the social context, etc. They can only supplement or enhance them. Therefore, it is important to balance the use of technology with human intervention and support.

AI based adaptive learning is a powerful tool that can improve education and training outcomes for learners of all ages and backgrounds. However, it also requires careful design, implementation, evaluation, and regulation to ensure its quality, effectiveness, fairness, transparency, accountability, security, privacy, ethics.

I hope this blog post has given you some insights into what AI based Adaptive Learning is. If you have any questions or comments, feel free to leave them below.

Thank you for reading! ??