Abstract:
Children often watch videos on a daily basis to learn new things, but traditional videos have limitations as they are a one-way medium. Children can easily become sidetra...Show MoreMetadata
Abstract:
Children often watch videos on a daily basis to learn new things, but traditional videos have limitations as they are a one-way medium. Children can easily become sidetracked and lose interest over time. By incorporating AI technology into the learning process, children can actively interact with the videos they watch, making the learning experience more enjoyable and effective. AI algorithms can evaluate the student's development, identify areas for improvement, and provide personalized feedback to correct errors and advance their learning. Interactive learning, facilitated by AI, involves a back-and-forth exchange between the learner and the learning system. It moves away from passive information consumption and encourages active participation from the learner. Personalization is a key aspect of interactive learning with AI. By adapting the learning tasks, content, and difficulty level based on the learner's current knowledge and progress, AI ensures that the learning experience is tailored to individual needs. By leveraging AI technology, interactive learning can support children in developing a deeper understanding of the material and achieving their learning goals. It empowers them to actively participate in the learning process, making learning feel like fun rather than a chore. With personalized feedback, adaptive learning, and real-time interaction, AI-enabled learning experiences can revolutionize how children acquire knowledge and skills through videos. The AI model demonstrated a remarkable accuracy of 99.04% when tested on a large dataset.
Published in: 2023 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)
Date of Conference: 08-11 November 2023
Date Added to IEEE Xplore: 25 December 2023
ISBN Information: