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Role of AI in Personalising Education

The Role of AI in Personalising Education

Jamie Finch
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Every student is different, with varying skills and interests. For example, some students will be more or less engaged in certain topics or teaching methods than others. The materials provided can make a considerable difference to a student’s progress, while students will also progress at different rates from each other.
The use of AI in education is helping to personalise the experience for everyone, ensuring they get an education that helps them flourish. Educators can use this tool to identify the best teaching approaches for individuals, helping them deliver the best possible results.

Individualised learning paths

AI in schools continually gathers data on students to help understand individual needs and preferences. The software can then use this data to create personalised learning paths to help students fulfil their potential. Such data can also identify overall trends that might help with the day-to-day running of a school.
AI in education can help identify a student's strengths and weaknesses and consider their goals to devise a tailor-made plan for them. Artificial intelligence in education can also identify factors much harder for humans to notice, with insights that could help enhance lessons and courses for the best results.
Even more impressive is that when given enough data, AI can begin making predictions regarding a specific student’s performance, helping teachers to adjust accordingly.

Interactive learning experiences

AI in education allows for an interactive learning experience, which can help students progress significantly. Physical interactions with other people, or AI assistants, will help embed information as students learn from experience rather than words in a book. Interactive learning can also be fun, helping students maintain focus and enthusiasm.

Adaptive learning systems

Adaptive learning systems
AI can do more than just design pathways. It can also monitor a student’s performance and make adjustments as required. For example, if a student is struggling to cope with a particular topic, the software could recommend a more suitable one instead. It can be hard for teachers to recognise an individual is struggling, but AI helps ensure that no student’s needs are overlooked.

Allows virtual chat functionality

AI gives students the ability to “chat” with the computer, with the algorithm producing human-like results. This function lets students study or ask questions anytime and in private if they wish. It also means students can get more study time without adding to the teaching salary.
Virtual chat functions can often be used anonymously, encouraging otherwise shy students to ask questions. Many will also be encouraged by the casual yet professional nature of the tool, helping to make students feel more comfortable using it.

Learning material recommendations

AI can also use students’ details to recommend which materials to use. Software can identify materials suitable for the topic and other factors, like the student’s preferences.
In this regard, AI in schools can be very effective because the software will know learning sources available on the internet. With this extensive knowledge, AI can find a suitable match between a student and the right learning material.

Data-driven insights

AI in education is effective because it uses vast volumes of data, leading to more accurate results. Working with a high volume of data can help AI reveal deep insights that could be missed by a human. For example, AI might be able to identify that a student is struggling with a specific topic that a teacher did not notice.
Another reason to use data-driven insights is that it lets you make decisions based on objective data. Data-driven decisions are usually more successful because their unbiased nature automatically removes any prejudices and other factors that can lead to a poor decision.

Cater to a wider range of students

Cater to a wider range of students
Manmade learning courses can be quite rigid, with the same learning materials and curriculum. However, AI can add a level of flexibility that lets students have a plan that suits their needs best.
By learning about students on an individual level, it is no longer necessary to keep to traditional, rigid course structures. Instead, students can have a plan that appeals to them and helps keep them enthusiastic, helping them to learn and flourish.

Uses natural language processing

Natural language processing (NLP) lets machines understand written and spoken language. Deep libraries of data not only help a computer recognise words but also understand the context behind them.
NLP means students can ask for information from learning devices just by asking. This approach helps to add another teaching method that many students will be more comfortable with, helping them progress. NLP also works with text and can be perfect for helping students find the information they need.

Personalised content creation

Not only can AI recommend which content to use, but it can also create learning content. The software can use information about the student to create learning materials that resonate. This approach would usually not be feasible because of the cost and time involved with planning and creating learning content. However, AI can create designs in a fraction of the time, meaning more students get learning materials that work for them.

Identify learning issues sooner

AI can also help identify issues like learning difficulties faster than a human teacher. Students can then get the assistance they need to help them develop as much as possible. This ability comes thanks to predictive analysis tools, which help identify shortcomings using historical data like previous grades and attendance rates.
You can also use AI to help develop learning pathways for students diagnosed with learning difficulties. Again, AI can create a tailor-made plan for individuals, helping everybody develop as much as possible.

Multimodal learning

AI can be integrated with a wide range of devices, giving teachers access to more tools and variety. Multimodal learning involves creating content in different formats and styles with which students can interact. Multimodal learning can also help keep classes fresh and interesting, helping to keep the student’s attention.

Upcoming challenges for AI

While AI in education brings plenty of benefits, the technology is not with its critics and has some significant obstacles to overcome. Some of these obstacles include:

Copyright issues

Some AI companies are currently facing legal threats, most related to copyright issues. Depending on how these cases go, we could see AI restricted in which data it can use. One suggestion is that content creators can opt out of allowing AI to use their content, which could be a big blow to the technology. Regardless, you need to be mindful of potential copyright issues when asking AI to create content for you.

Security questions

If you collect your students’ details for any reason, you are responsible for keeping that data safe. This can require investment in the right hardware, and you might also need to take on additional overheads like technicians. Such expenses can make AI unaffordable, although it’s usually possible to outsource at more affordable prices.

Unreliable data risk

The data AI can give you is only as good as the data you put in. This means that you might sometimes get wildly inaccurate results, especially if you started building your database recently.
Inaccurate results and other anomalies are usually encountered by educational centres that have just adopted AI and started collecting data. With small databases, such AI projects are prone to having results skewed by outliers. However, AI developers tend to use their vast databanks to help your machine “learn,” and we will no doubt see increasingly reliable results as the technology evolves.

Bias risk

One of the biggest ethical discussions involving AI is the fact that results are influenced by algorithms created by people. This opens the risk of biased results according to a company’s agenda. While bias doesn’t appear to have been a mainstream issue yet, it is something any educational institution should be aware of.

Summary

AI looks set to have an increasingly important role in many aspects of our lives, including in education. AI technology offers valuable tools to educators, helping them teach more effectively. Educators can learn more about their students and their specific needs, while AI platforms can also design courses tailor-made for specific individuals.
AI is still in its infancy as a technology so we can expect it to become increasingly advanced. Developers will also create more functionality and compatibility, making the technology appealing to more people.
Such is the flexibility of AI that it has already found itself used in numerous sectors, including education. As this technology continues to evolve, so students will have ever more powerful learning tools at their disposal.

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