AI-Enhanced Adaptive Learning Systems Unlocking the Future of Educational Excellence
Keywords:
Adaptive Learning System, Artificial Intelligence (AI), Educational Technology, Personalized Learning, Quality of Education, Machine Learning Algorithms, Inclusive Teaching, Learning Evaluation, Educational Transformation, Digital LearningAbstract
This study examines the application of artificial intelligence (AI)-based adaptive learning systems to improve the quality of education in the digital age. Adaptive learning systems combined with AI technology have significant potential to create a more personalized and efficient learning experience, tailored to the needs and abilities of each student. By utilizing machine learning algorithms, this system can present teaching materials and methods that are relevant to students' development, thereby increasing their level of engagement and learning outcomes. In addition, the application of AI in learning also enables more precise and accurate data collection on student progress, as well as accelerating and simplifying the evaluation process. This research reveals how artificial intelligence opens up new opportunities to create a more inclusive and high-quality education ecosystem, and provides an overview of the challenges and opportunities associated with the application of this technology at various levels of education. It is hoped that the findings from this research can contribute to the development of more effective technology-based education policies and teaching strategies in the future.
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