What is a predictive metaverse? The future of guided learning
Virtual learning would move to the level if the metaverse could predict and anticipate students' actions and behaviors
The word ‘metaverse’ has certainly been used a lot recently, specifically within conversations around the advancement of technologies and the ever-changing landscape of how we work and live. More often than not, it is usually connected to the gaming industry and does not tend to come up in conversations about education. However, the AI-powered virtual world is becoming increasingly appealing to content creators and educators as they recognize how it can be used to improve engagement and creativity and create personalized learning programs.
What is a predictive metaverse?
A predictive metaverse is a hypothetical concept that refers to an advanced form of a virtual world that is powered by AI and machine learning algorithms. In this scenario, the metaverse would be able to predict and anticipate the actions and behaviors of its users. It is essentially taking virtual learning to the next level.
This concept of the predictive metaverse is based on the idea that as virtual worlds become more sophisticated and realistic, they will also become more intelligent and able to analyze data in real time. The predictive metaverse would use this data to understand the preferences, behaviors, and intentions of its users, and then provide personalized recommendations, predictions, and feedback based on that understanding.
For example, in a predictive metaverse, an AI algorithm could predict the behavior of users in a virtual marketplace, such as what they are likely to buy, when they are likely to buy it, and how much they are willing to pay. This information could then be used to optimize the marketplace, improving the user experience and increasing sales.
While the concept of a predictive metaverse is still largely theoretical, some experts believe it could represent the next stage of virtual worlds, offering unprecedented levels of personalization and interactivity.
So, what does this mean for education?
If the predictive metaverse can be used to predict the buying habits of shoppers, it can also provide guided learning for students in a variety of ways:
Personalized learning: AI can analyze a student’s learning style and create a personalized curriculum based on their strengths and weaknesses.
Adaptive assessments: AI can create adaptive assessments that adjust the difficulty of questions based on a student’s performance, ensuring that the student is being challenged but not overwhelmed.
Intelligent tutoring systems: AI-powered tutoring systems can provide students with immediate feedback and guidance, helping them to understand concepts and master skills more quickly.
Virtual assistants: AI-powered virtual assistants can answer students’ questions and provide support 24/7, allowing them to learn at their own pace and on their own schedule.
Language learning: AI-powered language learning tools can provide students with real-time feedback on their pronunciation and grammar, helping them to improve their language skills more quickly.
The last few years have also seen an increase in the number of children being home-schooled. In the UK, a study carried out by the Association of Directors of Children Services (ADCS) shows a 34 percent increase in the number of children that are home-schooled in the UK. The US takes the lead with this–a study carried out by the National Home Education Research Institute (NHERI) shows the percentage of children being home-schooled has nearly tripled since mid-2019, and since the pandemic, this figure is rising year on year.
There are many factors affecting this: Family cultures and beliefs may not align with the school’s culture and beliefs and so parents/caregivers feel their child should be taught at home. But there is another huge factor: Many parents feel their child learns better and is more engaged when learning from home. This presents an exciting opportunity for educators and other content creators to collaborate and utilize the virtual world to educate children in a much more personalized and creative way, without the confines of the school classroom and a stagnant curriculum.
Ultimately, AI can provide guided learning by leveraging its ability to process large amounts of data and adapt it to individual student needs, making learning more effective, efficient, and importantly, relevant. This, in turn, can transform the education system and provide an exciting supplement or alternative to existing school curriculums.
Due to the exponential advancements taking place within tech, I believe we are going to see huge, exciting shifts in the way knowledge is taught and consumed–an educational revolution.