Without a doubt, AI tools are revolutionising the learning experience by offering personalised and adaptive educational resources. These tools cater to individual learning styles and paces, thus enabling students to more meaningfully engage with the learning material.<\/p>\n\n\n\n

For those who we taught via the traditional \u2018chalk and talk\u2019 approach, Today\u2019s capability to offer more personalised learning paths is especially powerful. By analysing data on students, AI algorithms can create customised learning paths that address knowledge gaps and accelerate learning by focusing on areas where students need the most support.<\/p>\n\n\n\n

However, these learning paths would not operate in a vacuum. In providing interactive lessons, quizzes, and games that make learning more engaging, the tools can also adjust their approach and the difficulty level based on a student’s performance, so that that learners are consistently challenged.<\/p>\n\n\n\n

Further, supplementing the learning paths, AI tools provide access to a vast array of educational resources, including videos, articles, and simulations. This diversity of materials supports different learning preferences and facilitates a more holistic understanding of subjects.<\/p>\n\n\n\n

Another distinct benefit is that AI systems can offer immediate feedback on assignments and quizzes, allowing students to learn from their mistakes in real time. Typically in the traditional education system where a one-to-many (one teacher and many students) arrangement, the teacher is unable to provide fully individual attention to any one student. Hence it is often when there is a formal means of assessing students\u2019 learning, such as homework or a test, that a student\u2019s difficulty in grasping a particular concept might emerge. AI tools can provide an instant feedback loop that helps reinforce learning and build confidence.<\/p>\n\n\n\n

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Challenges in traditional learning and testing methods<\/h2>\n\n\n\n

Traditional learning and testing methods often emphasise memorisation and standardised assessments, which may not fully capture a student’s understanding or capabilities. For some time, it has been widely known that students learn differently, but to a considerable degree, education systems have maintained their traditional approaches and practices.  However, the rise of AI tools raises questions about the relevance of memorisation and standardised testing, as students can easily access information and resources online.<\/p>\n\n\n\n

It is highlighted that similar arguments regarding the need for memorisation, in particular, were made when the internet became more mainstream, as once again, the information is available at our fingertips. However, with AI, the concerns have become more pronounced \u2013 especially regarding academic integrity, as students may misuse AI tools to complete assignments or examinations dishonestly.<\/p>\n\n\n\n

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