# Artificial Intelligence enabled Smart Learning

**Authors:** Faisal Khan, Debdeep Bose  
**arXiv:** [2101.02991](https://arxiv.org/abs/2101.02991)  
**Date:** 2021-01-08  
**Summary page:** https://www.summarizepaper.com/en/paper/2101.02991v1/

## Key points

- Artificial Intelligence (AI) is a discipline of computer science focused on machine intelligence.
- AI in education analyzes data from students, teachers, and academic staff to improve traditional educational methods.
- Traditional learning struggles to cater to the diverse needs of every student in a classroom.
- Personalized learning powered by AI can adapt instructional content and delivery methods based on individual student needs and preferences.
- The World Bank report on education highlights the learning gap among students as a consequence of traditional learning approaches.
- The study "Artificial Intelligence enabled Smart Learning" emphasizes the potential of AI in enhancing educational practices by analyzing data from various stakeholders involved in the learning process.
- Incorporating AI into education holds promise for bridging the learning gap among students and creating more inclusive and effective educational experiences.

## Summary

Artificial Intelligence (AI) is a discipline of computer science that focuses on machine intelligence. In the context of learning, AI plays a crucial role in analyzing vast amounts of data collected from individual students, teachers, and academic staff. By leveraging existing digital technologies and innovative teaching practices, implementing AI in education aims to significantly improve traditional educational methods. One of the main challenges with traditional learning is its inability to cater to the diverse needs of every student in a classroom. While some students may easily grasp concepts, others may struggle to understand them. Additionally, some students may have different learning preferences such as being more auditory or visual learners. This discrepancy in learning abilities and styles often leads to a significant learning gap among students which has severe consequences as it causes many students to drop out according to the World Bank report on education (World Development Report 2018). However, personalized learning powered by AI has emerged as a solution to this pressing issue. By leveraging AI algorithms and techniques, personalized learning platforms can adapt instructional content and delivery methods based on individual student needs and preferences. The study titled "Artificial Intelligence enabled Smart Learning" by Faisal Khan and Debdeep Bose explores the potential of AI in enhancing educational practices. The authors emphasize the importance of integrating AI into the field of education due to its ability to analyze vast amounts of data collected from various stakeholders involved in the learning process. In conclusion, incorporating AI into education holds immense promise for addressing the limitations of traditional learning approaches. By leveraging AI's capabilities for data analysis and personalization educators can bridge the learning gap among students and create more inclusive and effective educational experiences.