Apr 11, 2022
In General Discussions
Practical applications of AI have been seen in other industries, such as manufacturing and healthcare. In education, its growth is estimated to reach $6 billion by 2024 (Bhutani & Wadhwani, 2019), with China and the United States leading global AI education investment. AI is already starting to appear in many colleges and universities to drive enrollment or streamline operations. One of the areas where we expect AI and machine learning to show a huge impact is in personalized learning. For example, automated recommender systems will interact with students based on their behavior, profile and performance. The system can track students' mastery text message service of a topic or skill through tests and recommend other resources, such as videos, games, or experiments, that match their learning requirements. Faced with challenges such as high dropout rates, learner distraction and the ineffectiveness of a single school model, AI and machine learning-assisted personalized learning pathways can help create more engaging learning experiences for students, increase their motivation, reduce dropout rates, help The learner concentrates on the course study.