Transforming learning through artificial intelligence: Evolution of guided learning systems
Year: 2024
Type: article
Abstract: Artificial intelligence powered learning systems are transforming the learning landscape by using advanced algorithms and comprehensive data to deliver a highly personalized and adaptive learning experience. These systems analyze learner behavior, preferences, and outcomes at the macro and micro levels. This allows them to provide tailored content recommendations. adaptive assessment and tailored learning paths. Adaptive systems are those that are able to continuously learn from user interactions and feedback. An AI-powered recommendation system can dynamically adjust recommendations. This ensures that learners receive the most relevant and effective learning resources at all times. These advanced AI models can create personalized content, place interactive learning materials and even simulate a human-led teaching and learning experience. For example, chatbots and AI-powered virtual assistants can engage learners in understanding learner preferences, deciphering learning styles, answering questions and providing real-time feedback. effectively simulating a human teacher. In addition, generative AI can personalize, summarize and modify existing content to customize it based on individual learning capabilities, patterns, preferences, and achievement levels. ensuring that each learner receives a truly customized learning experience as AI continues to evolve.
Authors: Rishi Venkat, Darshana Suresh, Anu Rai, Shubham Metha, Dyuti Dave
Institutions: Walmart (United States), Barclays (United Kingdom)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4408887822