Reading, creating, hearing, witnessing, analyzing, testing, and other activities are all part of a diverse, multilayered, and dynamic learning experience. These layers combine to make learning a unique and personal experience for each individual. Understanding the factors that influence how people learn has a lot of power. When that expertise is combined with artificial intelligence (AI), the authors can develop learning experiences that are beneficial to all students. AI-assisted learning is a learning experience that is adaptive and enhances our natural learning style with machine intelligence (AIAL). AI can recognize trends and make decisions that are beneficial to users. There are numerous different tendencies in memory as it relates to humans in this study. This chapter explains how AI-assisted learning takes into account aspects including a student's background, the subject, modalities, and environment to produce an integrating teachable moment.
TopLearning Assisted By Artificial Intelligence
Machine learning algorithms may take data like homework and exam outcomes and group individuals who did similarly, as well as offer supplemental material that has previously aided individuals with a similar profile, such as the relevant equations to employ and how to apply them. As the system learns, it will be able to generate the most relevant practice problems and coach students through them directly.
Adaptive gamified systems that keep students focused and engaged are another method AI-assisted learning systems might help students learn. These technologies also make it easier to learn dense content. Models that use facial expressions and task information to assess the user's emotions and forecast their performance have been developed (Swets and Feurzeig, 1965).
Researchers are looking into how common characteristics like personalities and learning styles interact with them, despite the restrictions. When it comes to younger children learning basic math principles, the systems might employ face recognition characteristics to recognize when they're having trouble and guide them to information that's more suited to their learning style (Taylor, 1968).
In education, the possibilities for AI-assisted learning are limitless. It has the potential to make our unique ways of absorbing and remembering information work in our advantage rather than against us when it comes to learning. Because of its ability to detect patterns and adapt at scale, it is a tool that can be used by anyone (Simmons, 1970).
As robots become smarter, they will be able to derive insights that will provide critical information to instructors and leaders, such as how effective different teaching approaches are in different areas or what content to recommend to pupils. Students may eventually be able and encouraged to pursue learning in their own unique way. As AI-assisted learning is improved, education can become more individualized and accessible, giving students the freedom to learn at their own speed and style (Collins and Quillian, 1969).