Children increasingly turn to technology to enhance their learning experience in today's digital era. Artificial Intelligence, or AI, has emerged as a powerful tool for them, providing innovative ways to study and excel. Many Artificial intelligence apps are designed to empower children in their education and everyday journey. AI enhances the personalization of student learning programs and courses, promotes tutoring by helping students improve their weak spots and sharpen their skills, ensures quick responses between teachers and students, and enhances universal 24/7 learning access.
AI apps for children that are intelligent, adaptive, and encouraging personalized learning systems are being deployed in all educational institutions, such as schools, colleges, and universities across the globe, for analyzing huge amounts of data collected from students that can significantly impact the lives of students and educators. Artificial intelligence apps can also help educators with task automation, including administrative work, evaluating learning patterns, grading papers, responding to general queries, and more.
AI breaks down the silos between schools and traditional grade levels. Through AI tools, classrooms are now globally available to students, including those with visual or hearing impairments or who use different languages. Using a PowerPoint plugin like Presentation Translator, learners get real-time subtitles for all the teacher says, opening up new possibilities for the learners who have to learn at varying levels, want to learn subjects that aren't in their school or are absent from school.
Despite the undeniable benefits of AI apps for children, certain risks and threats associated with ethical issues should be carefully evaluated by both conceptual and empirical studies that delineate where the potential threats may exist. One of these key hazards is a need for more privacy. AI technology based on algorithmic applications captures human data from its users on purpose, and they have yet to learn what kind of data or how much of it is collected.